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A Systematic Review of the Effectiveness of Buprenorphine for Opioid Use Disorder Compared to Other Treatments: Implications for Research and Practice

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Background: Prior systematic reviews have compared the relative effectiveness of buprenorphine (BUP), methadone (MET) and other medications and treatments for opioid use disorder (OUD). The results suggest BUP is highly effective for reducing illicit opioid use and retaining people in treatment. The current review extends these prior reviews by synthesizing research, which compares BUP and buprenorphine and naloxone (BUP/NX) to several treatments in addition to MET on several primary and secondary outcomes. Method: Literature searches were conducted using nine databases. Articles were limited to quantitative reports of studies conducted with adult human subjects in an outpatient, non-residential treatment settings in the United States, in peer-reviewed journals between January 1, 2001 and May 31, 2017, and written in English. Search strategies returned 1,981 articles, an additional eight articles were added through hand searching. Ninety-nine articles met inclusion criteria. After reading abstracts, 48 articles were excluded from the review. After reading the remaining 59 articles, another 36 were excluded. A total of 18 studies were included in the final analyses. Results: MET was found to be superior to buprenorphine (BUP) in helping patients adhere to and remain in treatment, while BUP was superior to MET for achieving abstinence from opioids. BUP was found to be superior to behavioral treatment alone, extended release naltrexone (XR-NTX), an absence of any treatment, and placebo. Given the range of study designs and quality, populations, and outcomes examined, a meta-analysis was not feasible. The heterogeneity of included studies, however, permitted close examination of both the benefits and barriers of medication treatment for OUD in a range of patient populations and clinical settings, as well as the identification of gaps in both the research and treatment of OUD across a body of available literature. Conclusion: Buprenorphine (BUP) is an effective treatment option for achieving abstinence from opioids, and with emerging treatment guidelines, may be easier to access than other forms of treatment. The review underscores much of the available research utilized protocols that are inconsistent with current clinical practice guidelines. Further, flaws in research designs make it difficult for providers to determine the best medication treatment in order to improve outcomes. Future research is necessary to determine the effectiveness of BUP when administered according to the most current protocols.
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A Systematic Review of the Effectiveness of Buprenorphine for Opioid
Use Disorder Compared to Other Treatments: Implications for Research
and Practice
Tara Mariolis1, Jordon Bosse2, Stephen Martin2,3, Amanda Wilson2 and Lisa Chiodo2,4
1 Department of Nursing, Fitchburg State University, 160 Pearl Street, Fitchburg, MA 01420, USA
2CleanSlate Centers Research and Education Foundation, Inc., 1 Roundhouse Plaza, Northampton, MA 01060, USA
3Department of Family Medicine and Community Health, University of Massachusetts Medical School, MA, USA
4University of Massachusetts Amherst, College of Nursing, 651 N Pleasant St, Amherst, MA 01003 USA
*Corresponding author: Tara Mariolis, Department of Nursing, Fitchburg State University, 361 Long Hill Road,160 Pearl Street, Fitchburg, MA 01420, USA, Tel:
+15087335134; E-mail: tmariolis@acad.umass.edu
Received date: January 21, 2019; Accepted date: March 22, 2019; Published date: April 08, 2019
Copyright: © 2019 Mariolis T, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted
use, distribution and reproduction in any medium, provided the original author and source are credited.
Abstract
Background: Prior systematic reviews have compared the relative effectiveness of buprenorphine (BUP),
methadone (MET) and other medications and treatments for opioid use disorder (OUD). The results suggest BUP is
highly effective for reducing illicit opioid use and retaining people in treatment. The current review extends these
prior reviews by synthesizing research, which compares BUP and buprenorphine and naloxone (BUP/NX) to several
treatments in addition to MET on several primary and secondary outcomes.
Method: Literature searches were conducted using nine databases. Articles were limited to quantitative reports of
studies conducted with adult human subjects in an outpatient, non-residential treatment settings in the United
States, in peer-reviewed journals between January 1, 2001 and May 31, 2017, and written in English. Search
strategies returned 1,981 articles, an additional eight articles were added through hand searching. Ninety-nine
articles met inclusion criteria. After reading abstracts, 48 articles were excluded from the review. After reading the
remaining 59 articles, another 36 were excluded. A total of 18 studies were included in the final analyses.
Results: MET was found to be superior to buprenorphine (BUP) in helping patients adhere to and remain in
treatment, while BUP was superior to MET for achieving abstinence from opioids. BUP was found to be superior to
behavioral treatment alone, extended release naltrexone (XR-NTX), an absence of any treatment, and placebo.
Given the range of study designs and quality, populations, and outcomes examined, a meta-analysis was not
feasible. The heterogeneity of included studies, however, permitted close examination of both the benefits and
barriers of medication treatment for OUD in a range of patient populations and clinical settings, as well as the
identification of gaps in both the research and treatment of OUD across a body of available literature.
Conclusion: Buprenorphine (BUP) is an effective treatment option for achieving abstinence from opioids, and
with emerging treatment guidelines, may be easier to access than other forms of treatment. The review underscores
much of the available research utilized protocols that are inconsistent with current clinical practice guidelines.
Further, flaws in research designs make it difficult for providers to determine the best medication treatment in order
to improve outcomes. Future research is necessary to determine the effectiveness of BUP when administered
according to the most current protocols.
Keywords: Systematic review; Buprenorphine; Methadone;
Treatment; Research; Practice
Introduction
Over ve million individuals in the United States (US) have opioid
use disorder (OUD), a chronic illness with devastating consequences
for individuals, their families, and society [1]. Of the 63,000 US drug
overdose deaths in 2016, 42,000 were attributable to opioids [2,3].
OUD has also escalated the spread of infectious diseases due to high-
risk behaviors such as sharing injection materials. For example,
hepatitis C increased from 2004 to 2014 (400% among 18-29 year-olds
and 325% among 30 to 39 year-olds) and hepatitis B also increased
(20,000 new cases in the US among persons who inject drugs) [4].
Additionally, the rates of HIV, endocarditis, and abscesses have also
increased among persons who inject drugs [5]. e economic burden
of prescription opioid abuse and fatal overdoses among Americans was
an estimated $78.5 billion in 2013; due primarily to healthcare
expenditures (38%), non-fatal and fatal lost productivity costs (53%),
criminal justice costs (10%) and substance treatment (4%) [6].
Treatment options for opioid use disorder (OUD) include
medications and psychologically based approaches, used either alone
or in combination with other strategies [7,8]. ree medications,
which have FDA approval, are used to treat OUD: buprenorphine
(BUP) alone and combined with naloxone (BUP/NX), methadone
(MET), and naltrexone (NTX) [8-14]. Many substance abuse treatment
providers recommend that psychologically based approaches such as
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ISSN: 2155-6105
Journal of Addiction Research &
Therapy Mariolis et al., J Addict Res Ther 2019, 10:2
DOI: 10.4172/2155-6105.1000379
Review Article Open Access
J Addict Res er, an open access journal
ISSN:2155-6105
Volume 10 • Issue 2 • 1000379
*
individual, group, and family counseling, self-support groups and
residential care be used in combination with medication for the
treatment of OUD [12-14]. Opioid antagonists such as NTX prevent
opioids from binding at the receptors, while opioid agonists (BUP and
MET) act on opioid receptors and have been deemed to be safer and to
reduce harmful behaviors associated with addiction when used as
prescribed [12,13]. Finally, research ndings suggest that all these
medications are eective for improving engagement and adherence to
treatment, reducing illicit drug use, improving brain function, and
overall health [14].
Prior systematic review has compared the relative eectiveness of
BUP compared to other medications and treatments for helping
patients abstain from opioids and remain in treatment. Ling et al. [15]
compared BUP versus counseling on abstinence from illicit opioids,
and Mattick et al. [16] compared the eectiveness of BUP versus MET
maintenance and placebo on treatment retention and illicit opioid use.
Similarly, Timko et al. [17] compared BUP versus MET, an absence of
medication treatment, counseling and placebo on retention in
treatment. All three reviews conrmed that BUP in high doses is
highly eective for OUD reducing illicit opioid use, and retaining
people in treatment.
e current review extends these prior reviews by synthesizing
research, which compares BUP and BUP/NX to several treatments in
addition to MET. ese include levo-alpha acetyl methadol (LAAM),
extended-release naltrexone (XR-NTX)}, behavioral approaches (BA),
placebo, BUP as a maintenance therapy versus detoxication, and an
absence of treatment. Additionally, a wide range of primary outcomes
(abstinence from illicit opioids and other substances, treatment
adherence, retention, and duration) and secondary outcomes
(withdrawal symptoms, treatment safety, high-risk sex and needle-
sharing practices, criminality, employment, treatment cost, and
utilization), are evaluated.
Given the range of study designs and quality, populations, and
outcomes included, a meta-analysis was not feasible. e heterogeneity
of included studies, and lack of emphasis on specic level of evidence,
permitted an examination of both the benets and barriers of MT in a
range of patient populations and clinical settings, as well as the
identication of gaps in present research on OUD across a body of
available literature.
Method
Literature search
Strategy: Literature searches were conducted using nine databases,
which included Cochrane Clinical Trials, Cumulative Index of Nursing
and Allied Health Literature (CINAHL) Complete, Ovid, ProQuest,
PsycArticles, Psych Info, PubMed, PubMed Central, and Web of
Science. Additional articles were identied from reference lists of
included studies.
A typical search string in each of the databases was:
((eect* OR ecac* OR treat* OR interven*) AND (opiate OR
opioid OR heroin) AND (depend* OR addict* OR abuse OR use
disorder) AND (buprenor* OR suboxone) NOT pregnan* NOT pain)
NOT cancer) NOT smok*) NOT (cocai* OR crack OR stimulant)).
Eligibility criteria: Articles were limited to quantitative reports of
research studies conducted with adult human subjects in an outpatient,
non-residential treatment setting in the United States, published in
peer-reviewed publications between January 1, 2001 and May 31, 2017,
and written in English. Given the aim of examining treatment rather
than tapering or “detox” with buprenorphine (BUP), only studies that
administered BUP for four weeks or longer were included. Studies
comparing short (detox) versus longer (maintenance) courses of BUP
were only included if there were long-term outcomes with which to
compare the eects of BUP versus another treatment.
Exclusion criteria: Articles were excluded if samples were comprised
primarily of minors, pregnant women, subjects who were incarcerated
or recently incarcerated, had severe co-occurring mental illness (e.g.,
schizophrenia), or who treated for a disorder other than opioid use
disorder (OUD) as the primary outcome of the study. Articles were
also excluded if the focus was on provider knowledge or attitudes
about medication assisted treatment (MAT) or patients with substance
use disorder (SUD) or on patient characteristics (e.g., gender) or
attitudes as the primary predictor of treatment success. Articles that
were editorial or commentary or focused on scale development,
medication pharmacokinetics, or educational interventions to improve
patient or provider knowledge or attitudes about MAT were also
excluded. e protocol was not formally registered. Study selection.
Two authors (TM and JB) conducted the literatures searches and
independently coded articles for inclusion or exclusion. A third author,
(LC) compared the codes for inclusion and exclusion and retained all
items that were agreed upon by the rst two authors. In the event of a
disagreement, the item was reviewed (LC) and a determination made
as to whether the item met inclusion criteria and decided whether it
met inclusion criteria. A fourth author (AW) resolved dierences as to
whether to exclude studies from the nal inclusion list. Once the initial
list was agreed upon and data extraction began, any decision about
whether a study should be excluded was determined by consensus.
Data collection: Two authors independently assessed the quality of
the studies (high, good, or poor/major aws) utilizing the Johns
Hopkins Nursing Evidence-Based Practice Rating Scale [18]. Another
individual (AC) compared the quality ratings, and discrepancies were
discussed until consensus was reached. Another author (AW) made
two nal determinations. Data on the population, methods, treatment
protocol, operationalization of concepts (e.g. treatment success), and
study results were extracted by three of the authors (TM, JB, AC).
Data extraction: Data were extracted from each of the included
studies based upon a priori criteria determined by four of the authors
(TM, JB, LC, and AW). Study authors were also contacted for
additional information or clarication.
Variables: Data items included funding source, study type and
duration, population, sample, methods, design, analysis, outcomes,
strengths, limitations, and risk of bias. Study type and duration
included: length of study, length of follow-up period, and years in
which the data were collected. Sample description data included
sample size, mean age, gender, race, and whether signicant
dierences exist between study groups on demographic information.
Study methods data extracted included recruitment, study settings,
measures and measure reliability, type of laboratory test used to detect
substances, whether urine samples were observed, and type of
buprenorphine (BUP) and comparison treatment. Study protocol
considerations included whether individual, group counseling, and 12-
Step program meetings were required; the use of adjunctive treatment
for breakthrough symptoms; individualization of treatment;
comparison treatments; and treatment medication information (mean
dose, frequency of administration, number of weeks received, taper
start, length, and taper duration).
Citation: Mariolis T, Bosse J, Martin S, Wilson A, Chiodo L (2019) A Systematic Review of the Effectiveness of Buprenorphine for Opioid Use
Disorder Compared to Other Treatments: Implications for Research and Practice. J Addict Res Ther 10: 379. doi:
10.4172/2155-6105.1000379
Page 2 of 14
J Addict Res er, an open access journal
ISSN:2155-6105
Volume 10 • Issue 2 • 1000379
Data were extracted on outcomes related to abstinence from opiates
and other substances, relapse with opiates and other substance;
treatment length; adherence; retention; Human Immunodeciency
Virus (HIV) and hepatitis C virus (HCV) risk behaviors; medication
safety and side eects; cravings for substances and symptom
management; use and cost of substance abuse treatment; use and cost
of other health services; physical and mental health; quality of life; and
functional outcomes such as employment and legal involvement. Study
analysis data included handling of missing lab samples and other data
and year of US dollar value utilized in reports, where applicable. When
specically noted by study authors, operationalization of variables such
as treatment compliance, treatment retention, and treatment success
were recorded, as was US dollar value of any nancial analyses.
Data analyses: Data were evaluated descriptively as not enough
studies comparing the same treatments and outcomes were identied
that would allow for a formal meta-analysis.
Results
Study selection
e search strategies returned 1,981 articles, and an additional eight
articles were added through hand searching of references. A total of 18
studies were included in the nal analyses. Inter-rater agreement on
whether studies met inclusion criteria was 92.4%. Figure 1 shows the
literature ow for the articles in this study.
Figure 1: Literature ow diagram.
As demonstrated in Figure 1, approximately 99% of the articles
identied in our searches were excluded. Nearly a quarter of the
studies that could have been included ultimately had to be excluded
because it was not possible to determine the eect of compared to
another treatment on the outcomes of interest. ese included: the
outcome of being in treatment considered being in any treatment
compared to no treatment at all [19-22]; the study compared
buprenorphine (BUP) to BUP plus other treatments, such as an
additional medication [23], or dierent types of counseling [15,24,25];
dierent lengths of BUP taper as the treatment groups [26-30]; and not
reporting BUP data [31,32]. A detailed list of all studies excluded is
provided in Table 1.
N%
Included 18 0.9
Not a research study (e.g., policy, educational) 291 14.6
Animal studies/studies not focused on OUD 30 1.5
Qualitative studies 44 2.2
No comparison to buprenorphine 384 19.3
Detox only 48 2.4
Predicting attitudes about addiction/MAT 45 2.3
Predicting patient/provider characteristics 144 7.2
Primary population comorbid major disorder 2 0.1
Primary population is incarcerated/recently released 53 2.7
Primary population is pregnant women 21 1.1
Primary population is youth 31 1.6
Focus is pharmacokinetics of medications 142 7.1
Scale/instrument development 9 0.5
Educational Interventions for providers 19 1.0
Duplicate study 189 9.5
Not conducted in US 519 26.0
Total 1989
Table 1: Description of excluded studies.
Study quality
e majority of the included studies were rated as having “good”
quality (n=12). One study was rated as high quality, and ve studies
were rated to be of poor quality or had major aws.
Study characteristics
Study sample sizes for experimental studies ranged from 152 to 287.
Samples from analyses of medical record data or insurance claims were
larger and ranged from 56 to 56,278 patients (Table 1 highlights study
characteristics). Samples included subjects that were predominantly
white, male, and in their mid-30 s. Figures 2-4 show the race, sex, and
mean age of each study group. Studies frequently (n=11) reported
signicant dierences between study groups on major characteristics
(race, ethnicity, insurance status, use history, etc.) [Table 2].
N%
Funding source
Government (e.g., NIH)a6 33.3
Multiple (including pharmaceutical) 4 22.3
Multiple (no pharmaceutical) 2 11.1
Pharmaceutical Industry 2 11.1
Private/Internal 2 11.1
Citation: Mariolis T, Bosse J, Martin S, Wilson A, Chiodo L (2019) A Systematic Review of the Effectiveness of Buprenorphine for Opioid Use
Disorder Compared to Other Treatments: Implications for Research and Practice. J Addict Res Ther 10: 379. doi:
10.4172/2155-6105.1000379
Page 3 of 14
J Addict Res er, an open access journal
ISSN:2155-6105
Volume 10 • Issue 2 • 1000379
None 2 11.1
Study type
Effectiveness 8 44.4
Efficacy 5 27.8
Cost Effectiveness 3 16.7
Safety 2 11.1
Data source
Randomized Controlled Trial 6 33.3
Medical Record/Charts 6 33.3
Secondary Analysis 6 33.3
Number of comparison treatments
Compared to 1 med/treatment 8 44.4
Compared to 2 meds/treatments 6 33.3
Compared to 3 meds/treatments 4 22.3
Comparison treatments/groupsb
Methadone (any) 9 50.0
Location (office/clinic) 1 11.1
Specific doses 3 16.6
Naltrexone (incl. XR-NTX) 1 11.1
LAAM 2 22.3
Placebo 2 22.3
BUP detox 2 22.3
BUP/NX (sublingual) 2 22.3
Naltrexone (XR-NTX) 1 11.1
No treatment 1 11.1
Behavioral only treatment 1 11.1
Patients without OUD 1 11.1
Study protocols
Included urine drug screen (UDS) 11 61.1
Required counseling (any) 61.1
Reduced frequency visits over time 11 16.7
Different treatment protocols between groups 27.8
Handling of missing UDS data
Treated as positive 5 27.8
Not reported 6 33.3
Table 2: Study characteristics.
Figure 2: Reported race of study group participants.
Figure 3: Reported sex of study groups.
Figure 4: Reported age of study group participants.
Data sources and study locations
Six studies used retrospective chart review of data from primary or
secondary sources, and six studies conducted secondary analyses from
insurance, episode treatment, WHO and FDA data. Six additional
studies presented primary or secondary data from experimental
designs, most of which were from randomized controlled trials
([RCTs] n=6). Two of the included studies [33,34], evaluated dierent
Citation: Mariolis T, Bosse J, Martin S, Wilson A, Chiodo L (2019) A Systematic Review of the Effectiveness of Buprenorphine for Opioid Use
Disorder Compared to Other Treatments: Implications for Research and Practice. J Addict Res Ther 10: 379. doi:
10.4172/2155-6105.1000379
Page 4 of 14
J Addict Res er, an open access journal
ISSN:2155-6105
Volume 10 • Issue 2 • 1000379
outcomes on the same sample. Lott et al. [35] conducted a secondary
analysis of a study by Johnson et al. [36] which did not include patients
who were on low-dose methadone and then ‘rescued’ with higher
doses in their analyses.
Data were primarily from one or more outpatient addiction
treatment settings including methadone clinics (n=6) or oce-based
methadone programs (n=1), youth specic treatment programs (n=2),
or intensive outpatient program ([IOP] n=1). Data were also collected
from primary care (n=3), federally licensed opioid treatment programs
(n=1), state-subsidized treatment programs (n=1), FDA reports (n=1),
and the Veterans Health Administration ([VHA] n=1).
Study protocols
More than half of the studies (n=11) include urine drug screen
(UDS) results as at least one of their measures (Table 3). Some reported
using random drug screens (n=6) and some used observed urine drug
screens (n=6). Five studies reported temperature of urine when
subjects were not observed providing samples.
Differences in treatment protocols
Random drug screens used 6
Both/all groups 4
Comparison group Only 2
Observed drug screens used 6
Both/All groups 3
Comparison group Only 3
Required group counseling 5
Both/All groups 3
Comparison group only 2
Required individual counseling 9
Both/All groups 7
Comparison group only 2
Required 12-step attendance 1
Comparison group only 1
Reasons for study withdrawal
Missing counseling 3
Missing meds/appts 2
Missing UDS 2
Provider discretion 1
Table 3: Dierences in treatment protocols.
Counseling
Half of the studies (n=9) required individual counseling of at least
some study participants, fewer (n=5) required group counseling for at
least some study participants. In one study, participants’ medication
was withheld until participants attended counseling [37]. In three
studies, participants who struggled with continued opioid use received
additional counseling [33,34,38]. One study required subjects who
received MET to attend a 12-Step program as part of the treatment
protocol [34]. Participants in one study that received medication also
received psychosocial treatment; it is unclear if the psychosocial
treatment was required [39].
Medication dosing
e majority of the studies required frequent visits to the study site
to obtain treatment. Kamien et al. [37] required all participants to
attend seven days a week. Two studies required daily attendance except
for Sundays and holidays [40,41], and another required attendance ve
to seven days a week [38]. Participants in an adult intensive outpatient
program (IOP) attended sessions for three hours a day, four days a
week [42]. In another study following daily visits for medication
induction, participants had to come to the site Monday, Wednesday,
and Friday [35,36]. Adolescent IOP patients could earn up to one
week’s supply of medication as they progressed in treatment [43].
ree of the retrospective chart reviews reported patients who received
BUP were seen weekly and MET patients were seen daily or near daily
[33,44,45]. Five studies reported dierent protocols for dierent study
groups, generally with less strict requirements, (e.g., no counseling, less
frequent visits to receive medication, fewer urine drug screens) for
subjects receiving buprenorphine.
Study outcomes
Study outcomes were grouped into primary and secondary
outcomes. Treatment adherence, retention, abstinence from
substances, and medication safety were considered primary outcomes.
e most common study outcome was relapse with opiates (n=12) or
other substances (n=9). Studies also evaluated length of time in
treatment (n=7), treatment adherence (n=6) continuing treatment
aer the study ended (n=3), and medication safety (n=2). Secondary
outcomes considered included: cost of substance abuse treatment
(n=3), all medical treatment (n=3), crime and arrests (n=3), HIV and
Hepatitis C risk reduction (n=2), symptom management (n=2),
employment (n=1), cost of mental health treatment (n=1) and
treatment utilization (n=1).
Risk of bias with within studies: Six of the studies received some or
all of their funding from the pharmaceutical industry [38-40,46-48];
and another study that did not receive pharmaceutical funding
included authors who were aliated with a pharmaceutical company
[37]. Response bias is present in two studies [38,41], which relied only
on self-reported data for some or all of the outcomes (including recent
use of substances, criminality, etc.). Self-selection bias is present in
three studies [33,43,49], as they allowed clients to choose their own
treatment.
In the sections that follows, the results are presented based on the
treatment that buprenorphine is being compared to: MET, levo-alpha
acetyl methadol (LAAM), naltrexone (NTX), and other treatments
(e.g., counseling only, placebo). A summary of these ndings is
presented in Table 4.
Citation: Mariolis T, Bosse J, Martin S, Wilson A, Chiodo L (2019) A Systematic Review of the Effectiveness of Buprenorphine for Opioid Use
Disorder Compared to Other Treatments: Implications for Research and Practice. J Addict Res Ther 10: 379. doi:
10.4172/2155-6105.1000379
Page 5 of 14
J Addict Res er, an open access journal
ISSN:2155-6105
Volume 10 • Issue 2 • 1000379
First
author
(year)
Study design Primary outcome Secondary outcomes Protocol
Problems/
Bias
Overall
finding
Sample Setting Req Fund TX
Adh
ere
TX
Retent
TX
Length
Abstain
from
Opiates
Abstain
from other
Safety HIV/HC
V risk
TX
Cost/
Util
N Treatment
groups
Buprenorphinea vs. Other treatments
BUP/NX vs. MET
Johnson
(2000)
S
220 BUP (55) Outpatien
t TX
Y G NS NS BOTH BOTH - NS - - Small/
unmatched
samples;
generalizabi
lity
Both
MET
dose (55)
MET
¯dose
(55)
Lott (2006) 137 BUP (47) Secondar
y analysis
- - - NS NS - NS - Small
samples;
generalizabi
lity
NS
MET (51)
Kamien
(2008)
268 BUP
(140)
Outpatien
t TX
Y G NS NS NS BUP NS - - - Potential
conflict of
interest
bias;
unequal
sample
sizes;
generalizabi
lity
BUP
MET
(128)
Barnett
(2009)
8,
673
Only
BUP
(482)
Secondar
y analysis
of VA
EMR
G - - BUP - - BUP - BUP Generalizab
ility
BUP
Only
MET
(8191)
Jones
(2009)
78 BUP
OBT (34)
Office &
Clinic
Y - NS - - NS - - MET Small and
unmatched
samples;
generalizabi
lity
NS
Primary
MET
OBT (21)
MET
clinic
(23)
MET
Secondar
y
Fingerhoo
d (2014) 504 BUP
OBT
(252)
Office &
Clinic
Y MET MET MET MET - - - - Unmatched
samples;
generalizabi
lity
MET
MET
clinic
(252)
(MET)
Hser
(2014)
1267 BUP
(738)
Secondar
y analysis
N MET MET MET BUP - - - - Generalizab
ility;
inadequate
treatment
protocol info
Both
MET
(529)
Proctor
(2014)
BUP
(102)
Retrospec
tive
review;
NR I - MET MET NS NS - - - Inadequate
treatment
protocol info
MET
Citation: Mariolis T, Bosse J, Martin S, Wilson A, Chiodo L (2019) A Systematic Review of the Effectiveness of Buprenorphine for Opioid Use
Disorder Compared to Other Treatments: Implications for Research and Practice. J Addict Res Ther 10: 379. doi:
10.4172/2155-6105.1000379
Page 6 of 14
J Addict Res er, an open access journal
ISSN:2155-6105
Volume 10 • Issue 2 • 1000379
b
Couns.
MET
(2,738)
Outpatient
TX
Woody
(2014) 731 BUP
(340)
Secondary
analysis
NR G - MET - BOTH MET - BOTH - Generalizab
ility;
inadequate
treatment
protocol info
Both
MET
(391)
Methadone
clinic
Clark
(2015)
43,
175
BUP
(18,866)
Secondary
analysis
NA I - - BOTH - - - - BOTH Generalizab
ility
Both
MET
(24,309)
Medicaid
claims
Rastegar
(2016)
504 BUP
(252)
Retrospec
tive chart
Review
Y
(MET)
N - NS - - - - - - Generalizab
ility
NS
MET
(252)
Office &
clinic
Sessler
(2017)
60,
179
BUP
trans
(22,454)
Secondary
analysis
FDA
database
NA I - - - - - BUP - - Generalizab
ility
BUP
BUP/NX
(11,206)
MET
(26,519)
Johnson
(2000)
220 BUP (55) Outpatient
TX
Y G - NS NS BOTH BOTH NS - - Small/
unmatched
samples;
generalizabi
lity
Both
LAAM
(55)
Lott (2006) 86 BUP (47) Secondary
analysis
Y G - - - NS NS NS Small
samples;
generalizabi
lity
NS
LAAM
(39)
BUP/NX vs. XR-NTX
Crits-
Christoph
(2016)
548 BUP
(394)
Outpatien
t TX
N MI BUP BUP - - - - - - Potential
COI bias;
unequal
sample
sizes
BUP
XR-NTX
(154)
Vo (2016) 56 BUP (43) Communit
y-based
IOP
Y S NS NS - NS NS - - - Small/
unequal
sample
sizes;
generalizabi
lity
NS
XR-NTX
(13)
BUP/NX vs. BA treatment only
Clark
(2015)
50,
086
BUP
(18,866)
Secondar
y analysis
of
medicaid
claims
NA I - - - BUP - - - BUP Generalizab
ility
BUP
BA Only
(31,220)
Buprenorphine vs. No buprenorphine
BUP/NX implant vs Placebo
Ling
(2010)
163 Implant
(108)
Multiple
outpatient
Y I BUP BUP - BUP BUP - - - Unequal
sample
sizes;
BUP
Citation: Mariolis T, Bosse J, Martin S, Wilson A, Chiodo L (2019) A Systematic Review of the Effectiveness of Buprenorphine for Opioid Use
Disorder Compared to Other Treatments: Implications for Research and Practice. J Addict Res Ther 10: 379. doi:
10.4172/2155-6105.1000379
Page 7 of 14
J Addict Res er, an open access journal
ISSN:2155-6105
Volume 10 • Issue 2 • 1000379
Placebo
(55)
generalizabi
lity
Rosenthal
(2013)
168 Implant
(114)
Outpatient
TX
Y M
O*
- BUP - BUP - - - - Unequal
sample
sizes;
generalizabi
lity
BUP
Placebo
(54)
BUP/NX maintenance vs. BUP/NX detox
Caldiero
(2006)
60 Maint
(30)
Retrospec
tive chart
review;
Hospital-
based
IOP
Y M
O
Main
t
Maint Maint NS NS - - - Small
sample;
generalizabi
lity; potential
bias
Maint
Detox
(30)
Woody
(2008)
152 Maint
(74)
Outpatient
TX
(adol)
Y MI Main
t
Maint - Maint NS - - - Generalizab
ility
Maint
Detox
(78)
BUP/NX vs. no treatment
Barnett
(2009)
19,
642
Only
BUP
(482)
Secondary
analysis
of VA
EMR
NA G - - BUP - - BUP - BUP Generalizab
ility
BUP
No TX
(19,160)
Buprenorphine forms & doses compared
BUP/NX vs. BUP
Proctor
(2014)
495 BUP
(393)
BUP/NX
(102)
Retrospec
tive chart
review;
Outpatient
TX
NR I - BUP BUP NS NS - - - Inadequate
treatment
protocol info
BUP
BUP/NX 16 mg/day vs. BUP/NX 8 mg/day
Kamien
(2008)
140 BUP 8/2
(82)
Outpatient
TX
Y G* - - - 16 mg - - - - Potential
conflict of
interest
bias;
unequal
sample
sizes;
generalizabi
lity
16 mg
BUP
16/4 (58)
aExcept where noted, BUP and BUP/NX refer to sublingual forms
bFunding: F: Foundation; G: Government, I: Industry, MI: Multiple, incl. industry, MO: Multiple, No industry, N: None, NR: Not Reported, S: Internal
*Not funded by pharmaceutical industry, but PI or author is affiliated with pharmaceutical industry
Abbreviations: Adhere: Adherence; BUP: Buprenorphine; BUP/NX: Buprenorphine/Naloxone; detox: Short:term treatment with buprenorphine; HCV: Hepatitis C
Virus; HIV: Human Immunodeficiency Virus; I: Implant; IOP: Intensive Outpatient Program, LAAM: Levo Alpha Acetyl Methadol; Maint: Buprenorphine maintenance
treatment; MET: Methadone; NA: Not Applicable; NTX: Naltrexone; NR: Not Reported; NS: Non Significant findings; Retent: Retention; Subs: Substances; Sx:
Symptoms; TX: Treatment; Util: Utilization; XR-NTX: Extended release naltrexone; BOTH-BUP and Comparison treatment
Table 4: Primary and secondary outcomes and favored treatment by comparison treatment.
Methadone
Twelve studies compared the relative eectiveness of buprenorphine
(BUP) versus MET and mainly examined primary outcomes. Of these,
ten studies examined their relative eectiveness on treatment
adherence and retention; seven of the twelve examined their
eectiveness in helping subjects remain abstinent from opioids. Several
studies examined secondary outcomes such as medication safety and
treatment costs. Overall, MET performed better than BUP on both
Citation: Mariolis T, Bosse J, Martin S, Wilson A, Chiodo L (2019) A Systematic Review of the Effectiveness of Buprenorphine for Opioid Use
Disorder Compared to Other Treatments: Implications for Research and Practice. J Addict Res Ther 10: 379. doi:
10.4172/2155-6105.1000379
Page 8 of 14
J Addict Res er, an open access journal
ISSN:2155-6105
Volume 10 • Issue 2 • 1000379
treatment adherence and retention, while BUP was superior than MET
in assisting subjects to abstain from opioids.
Two studies reported MET outperformed BUP in helping subjects
adhere to treatment [33,40] and four studies that compared treatment
retention also found MET was superior [33,40,41,49]. On the outcome
of treatment length, one study found BUP to perform better [50], while
two studies found the medications comparably eective [36,41], and
three others found that MET outperformed BUP [33,40,49].
One study found MET to be better in preventing subsequent opioid
use [33], two studies reported that BUP was superior to MET [37,40],
and two others found BUP and MET to be comparable [36,41]. BUP
was also found to be superior to MET on the outcome of medication
safety in two studies [48,50], while no studies reported MET to be safer
than BUP. Several studies reported no signicant dierences between
MET and BUP on treatment adherence [36,37], treatment retention
[34,36,37,45], abstinence from opioids [35,49], and abstinence from
other drugs [35,37,45,49].
Medication safety and symptom management: Among patients with
opioid use disorder (OUD) who were treated at the Veterans Health
Administration (VHA) over the course of one year, signicantly fewer
patients on buprenorphine (BUP) died in the study period compared
to patients receiving methadone (MET) or no treatment at all [50].
Another study compared adverse events for BUP and MET reported in
the Food and Drug Administration Database and identied
disproportionately higher rates of broad and narrow cardiac
arrhythmia among patients on MET compared to all forms of BUP
[48]. Johnson et al. [36] compared low- dose BUP (20 mg) and a
variable higher dose (60 mg-100 mg) MET and found subjects who
received either BUP or variable higher dose MET rated the severity of
their symptoms signicantly lower than patients who received low-
dose MET. ey found no signicant dierences in symptom severity
between BUP and high dose MET treatment groups.
Secondary outcomes: In a retrospective chart review comparing
patients enrolled in methadone (MET) maintenance compared to
buprenorphine (BUP), only MET patients reported a signicant
decline in number of criminal cases, including drug charges, at 12 and
24 months of treatment, both treatment groups, however, had
signicantly reduced odds of criminal charges at 12 months [51].
HIV and hepatitis C risk behaviors: Two studies evaluated whether
BUP or MET reduced high-risk behaviors associated with HIV and
Hepatitis C infection. Woody et al. [41] found injection risk behaviors
were signicantly reduced among females in both treatment groups;
however, there was no signicant dierences between groups. Sexual
risk behaviors were comparable and were signicantly reduced among
females in both treatment groups, and for males who received MET.
Such behaviors were increased for males on BUP and reduced in males
on MET [41]. In another study, patients receiving BUP and MET
demonstrated a signicant reduction in injection-related risks over
time compared to baseline (time eect), but there was no signicant
dierence between groups [35].
Treatment Cost and Utilization: Patients in the VHA system with
opioid use disorder (OUD) who were prescribed buprenorphine (BUP)
had signicantly fewer ambulatory care visits aer MAT initiation
compared to patients who received methadone (MET) [50]. e cost of
ambulatory care treatment was signicantly reduced for patients on
either BUP (18%) or MET (11.8%) [50]. Further, making BUP available
through providers in the VHA system did not result in a signicant
increase in visits in the system overall [50]. A study of Medicaid claims
also found that treatment with BUP costs signicantly less than MET
[44]. Additionally, the researchers found that providing either BUP or
MET costs signicantly less than behavioral-only (e.g. counseling)
treatment [44]. In a comparison of the cost of MAT that considered
both medication and location in which it was administered, MET
administered in a clinic was least expensive and BUP was the most
expensive for both providers and patients [45].
Levomethadyl acetate
Of the two studies which compared buprenorphine (BUP) to levo-
alpha acetyl methadol (LAAM), Johnson et al. [36] reported both
medications were comparably eective for sustaining abstinence from
opioids and other drugs, however, they found no signicant dierences
in length of time in treatment, treatment retention and medication
safety [36]. Lott et al. [35] reported no signicant dierences between
the two medications in maintaining abstinence from opioids and other
drugs, and for HIV/HCVI risk behaviors.
Naltrexone
In the two studies that compared buprenorphine (BUP) and
extended release naltrexone (XR-NTX), Crits-Christoph et al. [39]
reported BUP was more eective for treatment adherence and
retention [39], however, Vo et al. [43] reported no signicant
dierences between the two medications for treatment adherence,
treatment retention, and remaining abstinent from opioids and other
drugs. Subjects in the study by Crits-Christoph et al. [39], who received
XR-NTX showed a signicant increase in employment from baseline
compared to BUP patients. Conversely, BUP patients had a signicant
decrease in employment at the end of the study compared to baseline
[39]. Neither group reported signicant changes in arrests or self-help
group attendance over time [39].
Other treatments
Clark et al. [44], found buprenorphine (BUP) superior to counseling
alone in maintaining abstinence from opioids, and for treatment cost
and utilization. In studies that compared BUP and placebo, BUP was
found more eective for maintaining treatment adherence and
treatment retention [46,47], abstinence from opioids [46,47] and
abstinence from other drugs [46]. Barnett [50] found that BUP was
superior to an absence of any treatment for lengthening time in
treatment, medication safety, and treatment cost and utilization. In a
study that compared BUP alone versus BUP combined with naloxone,
the results suggest BUP was more eective for improving treatment
retention and lengthening time in treatment [49], however, no
signicant dierences were found for remaining abstinent from
opioids and other drugs [49].
In two studies, the ndings suggest BUP administered as a
maintenance medication was more eective than detoxication on
several outcomes including treatment adherence [38,42], treatment
retention [38,42], abstinence from opioids [42], and abstinence from
other drugs [38]. In at least one study, no signicant dierences were
noted in abstinence from opioids [42], and both studies found no
signicant dierence between the two methods of delivery for
sustaining abstinence from other drugs [38,42]. In a study that
compared high dosages (16 mg or greater) versus low dosages (8 mg)
of BUP, high dosages was found more eective for maintaining
abstinence from opioids than low dosages [37].
Citation: Mariolis T, Bosse J, Martin S, Wilson A, Chiodo L (2019) A Systematic Review of the Effectiveness of Buprenorphine for Opioid Use
Disorder Compared to Other Treatments: Implications for Research and Practice. J Addict Res Ther 10: 379. doi:
10.4172/2155-6105.1000379
Page 9 of 14
J Addict Res er, an open access journal
ISSN:2155-6105
Volume 10 • Issue 2 • 1000379
Predictors of relapse
An analysis of six years of Medicaid claims for patients with opioid
use disorder (OUD) demonstrated that the risk of relapse increased by
4.32 if patients had a co-occurring addiction to alcohol and 2.33 if
patients were addicted to other substances [44]. Rastegar et al. [34]
identied that being in any treatment at six months predicted being in
MAT at twelve months. Longer periods of treatment with MAT (either
MET or BUP) signicantly reduced the risk of relapse [44].
Strengths of reviewed studies
Six of the included studies were RCTs, which in some instances used
blind treatments [35-38,46,47], and six studies were secondary
analyses of data collected in other studies, RCTs or databases
[40,41,44,45,48,50]. Two studies focused on opioid use disorder
(OUD) treatment among young adults [38,43], an age group that is
disproportionately impacted by opioids, particularly prescription drug
misuse [52], and is also underrepresented in research studies. Six
additional studies were retrospective chart reviews of patients in
treatment for opioid use disorder [33,34,39,42,43,49], and improved
the quality of data by conducting rigorous analyses such as using only
cases that had complete demographic information available [49];
matching patients for comparison on age and gender [42]; and
including the rst episode of treatment in their analyses [39]. Among
other studies, additional strategies included triangulating data with
other sources (e.g. billing claims) [44], including patients with OUD
receiving no MAT when evaluating primary outcomes [39], and
including patients without OUD in cost and utilization studies [50].
One design that included searching databases for reports of adverse
events utilized standardized terminology in the queries [48].
Limitations of reviewed studies
Many of the studies had strict exclusion criteria, which limits the
generalizability of the ndings. For example, two studies did not
include subjects with another substance disorder, including nicotine
[38,46]. Ling et al. [46] also excluded participants who had moderate-
severe withdrawal symptoms, which could overestimate the
eectiveness of medications on symptom management. Another
analysis used secondary data from a study that required participants to
be stable on medication for 12 months prior to entering the study [45],
in contrast to most other studies. Rastegar et al. [34] compared
outcomes for patients who received treatment at two dierent
programs. Two other samples that might limit generalizability of the
ndings based on the population studied are a sample in which
25-30% of each group had a history of anti-social personality disorder
[35], and Medicaid patients receiving treatment in Massachusetts [44].
Some studies had small sample sizes and may have lacked statistical
power to identify small eects [37,39,42,43,45]. One study using
medical record data reported a great deal of missing or incomplete
data, making it dicult to interpret results [39]. e measurement of
outcomes was poorly done in some studies. For example, Woody et al.
[38] relied on self-report only at 6, 9, and 12-month follow up from
their study; response bias could be part of the reason they did not nd
signicant dierences between groups. In a few studies, treatment
groups were not mutually exclusive, so patients may have received
more than one type of MAT or other treatment in the time period
being evaluated [44,50]. Key variables were not clearly identied in
some studies such as duration of treatment with medication and
frequency and duration of counseling [39]. Finally, many of the studies
used protocols in which the delivery and requirements of care do not
emulate current best practice models, such as requiring daily or near-
daily dosing of medication with buprenorphine (BUP) [35,40,43].
Others mandated counseling [36-38,42,45,46], and some went so far as
to withhold treatment for missed counseling [37], or withdraw clients
from the study for missing counseling [38,46].
Discussion
e purpose of this review was to determine the eectiveness of
buprenorphine (BUP) compared to other treatments on several
primary and secondary outcomes for treatment of opioid use disorder
(OUD). Overall, methadone (MET) performed better than BUP in
helping subjects adhere to and remain in treatment, while BUP was
found to be superior to MET in helping patients abstain from opioids.
BUP was found to be superior to behavioral treatment alone, extended
release naltrexone (XR-NTX), an absence of any treatment, and
placebo. Given the range of study designs and quality, populations, and
outcomes examined, a meta-analysis was not feasible. e
heterogeneity of included studies, however, permitted close
examination of both the benets and barriers of MT for OUD in a
range of patient populations and clinical settings, as well as the
identication of gaps in both the research and treatment of OUD
across a body of available literature. Following is a discussion of the
results of this analysis.
Treatment cost and service utilization
Jones et al. [45] reported buprenorphine (BUP) and BUP/naloxone
(NX) cost more than other medications, accounting for 77% of the cost
associated with providing medication treatment. Cost of medications,
especially BUP and BUP/NX, to providers and patients may be
overestimated in the included studies as they were conducted before
generic forms of BUP and BUP/NX were available. In addition, other
studies highlighted that even when BUP cost more than the
comparison treatment, the overall cost of providing healthcare to
patients on BUP was signicantly lowered as it reduces the number of
ambulatory care and other visits required [44,50].
Criminal behavior
ough we excluded studies whose primary population was
incarcerated or recently incarcerated individuals, Rastegar et al. [34]
examined the association between treatment and criminal behavior
and identied that methadone (MET) is better at reducing drug-
related arrests [34, 53]. One possible reason for this nding is that
there were signicantly more men than women in the buprenorphine
(BUP) group, and men are more likely to have criminal issues and legal
involvement related to OUD opioid use disorder (OUD) than women
[26,53]. Arrest and formal charges may also be inuenced by other
factors (e.g., racism), and race of participants is not reported. Limited
evidence with populations a history of criminal justice involvement
suggests an increased willingness to use BUP over MET [54] and
reduced rates of recidivism [55].
Unclear study outcomes and methodological challenges
For some of the outcomes of interest (e.g., relapse) results are less
clear. Among the 12 studies that included relapse with opiates as an
outcome, three favored buprenorphine (BUP), two favored the
comparison treatment, four found no dierence between groups, and
three reported signicant reduction in relapse for both BUP and at
least one other comparison treatment. One possible explanation is that
Citation: Mariolis T, Bosse J, Martin S, Wilson A, Chiodo L (2019) A Systematic Review of the Effectiveness of Buprenorphine for Opioid Use
Disorder Compared to Other Treatments: Implications for Research and Practice. J Addict Res Ther 10: 379. doi:
10.4172/2155-6105.1000379
Page 10 of 14
J Addict Res er, an open access journal
ISSN:2155-6105
Volume 10 • Issue 2 • 1000379
patient characteristics (e.g., use history, insurance status) varied widely
within and between studies, as did study protocols. Similarly, strict
denitions of relapse (e.g., seeking care in ER) [44] and permissive
denitions of who is receiving medication (e.g. a single prescription for
BUP) [33,34] could also inuence results.
Both included and excluded studies had methodological challenges
that make it dicult to answer our initial research question. For
example, some studies excluded participants with co-occurring mental
disorders, but evidence suggests that a high proportion of patients with
OUD also have co-morbid conditions such as depression or are
addicted to multiple substances [52]. It is widely known that co-
occurring substance abuse disorder and other mental illnesses are
known to increase risk of relapse and cost for treatment [44]. Many
studies used protocols that are not consistent with current practice
such as requiring daily or near-daily dosing of medications [40,41],
administering dierent doses on dierent days [35,36], and higher
than usual doses of methadone (MET) [35-37], which could lead to an
overestimate of the eectiveness of comparison treatments (usually
MET). Patients in standard outpatient BUP treatment are generally not
be expected to have observed daily dosing of medication. As such, it
would be understandable that a subject participating in a study
examining treatment with BUP, may elect to seek treatment elsewhere
if they are required to come to a clinic on a daily basis. A deviation
from practice such as this, may explain a high attrition rate in subjects
in receiving BUP, and therefore makes it dicult to assess which of the
two medications would have improved retention rates.
Barriers to treatment
In our practice experience, many patients never return to oce
based treatment aer being prescribed buprenorphine (BUP). is
may be due in part to requirements for frequent oce visits or random
drug screening which present a signicant burden on patients in early
recovery, making continued drug use easier than participation in care.
Practice models that present signicant barriers to treatment for many
patients were frequently used in the included studies and may have
inuenced the outcomes as well.
Required counseling: In some of the studies that required
counseling, missing counseling was the most common reason for
people being withdrawn from the study [38]. ough counseling is a
common addition to treatment programs, there are few if any studies
to date that demonstrate that counseling is an essential component of
outpatient opioid use disorder (OUD) treatment for all patients. In
fact, the few studies that have examined the eects of types of
counseling combined with BUP have identied few if any additional
benets [15,25,56,57]. Similarly, lower-barrier counseling options (e.g.,
phone-based) have had little impact on treatment outcomes, mostly
due to patients’ lack of interest in participation. In one study, more
than half of the intervention group didn’t complete a single phone-
based counseling session [58]. Based on the lack of evidence in support
of counseling, In fact, the American Society of Addiction Medicine
[59] has recently updated their treatment guidelines to suggest
counseling should not be mandatory; instead, patient care should be
individualized and reassessed oen to determine if any additional
supports beyond medication may be necessary to continue treatment.
Subjects withdrawn from treatment: A signicant concern about
study approaches was the practice of withholding medication [37] or
withdrawing patients from a study for noncompliance, or treatment
‘failure’ [46]. For example, participants whose withdrawal symptoms
were not adequately reduced by treatment with a combination of either
1) buprenorphine (BUP) or placebo implant and 2) supplemental
sublingual BUP were withdrawn from the study conducted by Ling et
al. [46]. While such practices may make sense in a research setting, the
approach of withholding treatment is not consistent with the treatment
of a chronic, relapsing condition. Patients with OUD oen require
years of treatment before they stabilize and may require lifelong
maintenance therapy to avoid relapse. Remaining in treatment and
receiving either BUP or MET signicantly reduces risk of mortality
from overdose [60], suggesting a harm reduction approach is benecial
to patients [61]. Studies included in the review also highlighted
signicant benets of actively receiving any treatment, including
reductions in relapse, HIV and HCV risk behaviors, costs associated
with all treatment (including substance abuse treatment), and number
of arrests, as well as improved compliance, retention and predicted
being in treatment in the future [34-37,44].
Expanding denitions of successful treatment
Initially, we set out to include any outcomes of treatment, with an
interest in quality of life and other markers of recovery[62]. However,
none of the included studies (and few of the studies excluded aer
reading) evaluated addiction treatment success beyond abstinence. A
review focused on functional outcomes in medication assisted
treatment published aer our search was conducted and identied the
existing literature was both sparse and of low or very low quality. ere
have been a growing number of calls for a dierent approach to the
measurement of success in treatment. For example, SAMHSA’s
Recovery Support Strategic Initiative [63] recognized the need for a
new denition of recovery that includes four dimensions: 1) Health
[being healthy physically and emotionally], 2) Home [having a stable
place to live], 3) Purpose [having a purpose in life and the ability to
participate in society], and 4) Community [maintaining relationships].
Similarly, Dupont [64] argues that patient outcomes worth considering
include substance-related illness, injury, accidents, arrests, self-
evaluation of recovery, employment and education status, and overall
physical and mental health. e National Institute of Drug Abuse [65]
recognized that use of opioids while in treatment is common,
suggesting the need to consider opioid use disorder (OUD) treatment
outcomes other than abstinence. Martin et al. [61] remind that shiing
the focus to include other outcomes does not mean we should ignore
intermittent or continued opioid use; instead, it can be seen as an
opportunity to identify patient-centered augmentations to the
treatment plan (e.g. family supervision of BUP administration) to
support recovery
Suggestions for future research
e ndings of the review and limitations of the included studies
provide many questions to be answered in future research. First, given
the urgent need and lack of access to treatment, future research should
examine the eectiveness of the use of buprenorphine (BUP) as a
standalone treatment, as well as the eectiveness of reducing barriers
to treatment protocols presently suggested by current practice
guidelines. Studies should also examine the application of current
treatment models with the aforementioned expanded measures of
treatment “success”. is aligns more closely with the present view that
opioid use disorder (OUD) is chronic illness from which one can
expect to “recover”. Despite periods of relapse, many individuals with
OUD continue to function eectively in many areas and achieve a
good quality of life [13].
Citation: Mariolis T, Bosse J, Martin S, Wilson A, Chiodo L (2019) A Systematic Review of the Effectiveness of Buprenorphine for Opioid Use
Disorder Compared to Other Treatments: Implications for Research and Practice. J Addict Res Ther 10: 379. doi:
10.4172/2155-6105.1000379
Page 11 of 14
J Addict Res er, an open access journal
ISSN:2155-6105
Volume 10 • Issue 2 • 1000379
It is also important that treatment protocols and outcome measures
be standardized in order to permit direct comparison of treatment
eectiveness [64]. Also, including measures of patient satisfaction with
treatment may help clinicians and researchers further understand what
is and is not eective for patients. Although research ndings suggest
there is a wide range of eective treatments, a principle of opioid abuse
treatment put forth by NIDA [65] suggests that treatment plans should
be individualized, and that no one treatment plan works for everyone.
Studies evaluating the eectiveness of medications should be
adequately powered and include matched samples. Study designs
should account for between-group dierences or other confounding
variables in statistical analyses. Since methadone (MET) and BUP
demonstrate comparable eectiveness on many outcomes, research in
pinpointing characteristics of persons who respond better to one
medication over the other would be highly useful. For instance, we
may learn more about individuals who benet from continuous
monitoring oen required by treatment facilities that dispense MET.
A nal limitation of the current review is that many of the studies
included other medications in their OUD treatment protocols, for
example comfort medications for withdrawal and related symptoms.
ese reports did not provide information regarding the impact of
such medications on outcomes. us, it is not clear the extent to which
these medications might have impacted the results.
Implications for policy and practice
Policy makers, researchers, and clinicians will need to be cautious
and must not be misled by studies with short treatment schedules and
those with many barriers to care. We can begin the paradigm shi in
addiction treatment and research by moving away from the
abbreviation MAT, as ASAM has suggested, and using medication
treatment (MT) instead, which suggests that medication is treatment,
rather than a tool that assists other treatment approaches. As such,
payers should remove additional treatment requirements and limits on
treatment length, so providers and researchers can study the outcomes
of treatment when patients can engage in OUD treatment long-term.
Policy makers, providers, and researchers should work together to
identify a set of standardized outcomes for the evaluation of treatment
for opioid use disorder that allow (OUD) us to understand the benets
of treatment beyond abstinence from opiates and other substances.
Standardized outcomes should be required as common data elements
in clinical practice (via electronic health record) and research studies,
which would facilitate data-sharing and reasonable evaluation of
treatment.
Providers need to be aware of all barriers to successful treatment
that individuals might face including unidentied and untreated co-
occurring substance use disorders or mental illness; given the
increased prevalence of co-morbid conditions and risks to health
should they remain untreated. In addition, a compassionate approach
with an understanding that relapse is an inherent aspect of this chronic
illness, and providing additional support options rather than punishing
patients, could improve retention in treatment and the possibility for
better outcomes.
Conclusion
Buprenorphine (BUP) is an eective treatment option for many
individuals with opioid use disorder (OUD) and with emerging
treatment guidelines, may be easier to access than other forms of
treatment. Previous reviews have found BUP in higher doses is more
highly eective than other medications and counselling for reducing
the use of illicit opioids and as a standalone treatment. e unique
contribution of this review is the synthesis of data from multiple study
types (RCT, secondary data, retrospective chart review, and insurance
claims) that compare dierent formulations of BUP for a wide range of
outcomes. Further, these review highlights that much of the available
literature utilized protocols that are inconsistent with current clinical
practice recommendations and what is understood about the needs of
patients with OUD. In addition, aws in research designs make it
dicult for providers to determine the best MT and ancillary services
to improve outcomes for specic patient populations. us, additional
research that carefully examines the eectiveness of BUP when
administered in accordance with current best practice guidelines and a
set of standardized, patient-centered outcomes is needed to help us
understand the best approach to mitigate the personal and social
consequences of opioid use disorder.
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... 20 Studies comparing methadone to buprenorphine demonstrate mixed results, and there is no quality evidence to suggest one method is superior to the other. 21 The optimal length of medical treatment is not yet known; however, earlier or forced tapering of buprenorphine is demonstrated to increase rates of relapse. Adding behavioral treatments to medical management is a bit more controversial. ...
Article
Much of the focus on the current opioid crisis remains on how we arrived here and who is to blame. Despite having effective treatments for the management of patients with opioid use disorder (OUD), rates of overdose deaths continue to increase. As such, the focus needs to shift to increasing access to medications for OUD and better incorporation of harm reduction strategies to decrease not just the mortality but also the morbidity associated with OUD and other substance use disorders. Unfortunately, significant barriers rooted in misunderstanding and bias still limit access and prevent patients with OUD from seeking and staying in treatment. Until these are overcome and medical practice changes, both physicians and patients will continue to struggle to overcome this problem.
... Authors agree that Buprenorphine/naloxone is a safer agent. However, its advantage over methadone is tempered by the emerging evidence of problematic diversion and limited effectiveness for patients with more severe and chronic OUD [47]. This low retention rate indicates a need to enhance strategies to recruit new, potentially harder-to-reach patients with OUD who are not seeking treatment. ...
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Background The cascade of care framework is an effective way to measure attrition at various stages of engagement in Opioid Agonist Treatment (OAT). The primary objective of the study was to describe the cascade of care for patients who have accessed OAT from a network of specialized addiction clinics in Ontario, Canada. The secondary objectives were to evaluate correlates associated with retention in OAT at various stages and the impact of patients’ location of the residence on retention in OAT. Design A multi-clinic retrospective cohort study was conducted using electronic medical record (EMR) data from the largest network of OAT clinics in Canada (70 clinics) from 2014 to 2020. Study participants included all patients who received OAT from the network of clinics during the study period. Measurements In this study, four stages of the cascade of care framework were operationalized to identify treatment engagement patterns, including patients retained within 90 days, 90 to 365 days, one to 2 years, and more than 2 years. Correlates associated with OAT retention for 90 days, 90 to 365 days, 1 to 2 years, and more than 2 years were also evaluated and compared across rural and urban areas in northern and southern Ontario. Results A total of 32,487 patients were included in the study. Compared to patients who were retained in OAT for 90 days, patients who were retained for 90 to 365 days, 1 to 2 years, or more than 2 years were more likely to have a higher number of treatment attempts, a higher number of average monthly urine drug screening and a lower proportion of positive urine drug screening results for other drug use. Conclusion Distinct sociodemographic and clinical factors are likely to influence treatment retention at various stages of engagement along the OAT continuum. Research is required to determine if tailored strategies specific to people at different stages of retention have the potential to improve outcomes of OAT.
... This study's subgroup analysis indicated that 1-year treatment retention was between 35 and 40% in our cohort. The retention in this cohort is crucial because it is much lower than retention rates represented in other studies (approximately 50%) [16,32,[44][45][46]. We attribute the lower retention to lower buprenorphine/naloxone retention in our study. ...
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Background: This study evaluated how telemedicine as a modality for opioid agonist treatment compares to in-person care. Methods: We conducted a retrospective cohort study of patients enrolled in opioid agonist treatment between January 1, 2011, and December 31, 2015, in Ontario, Canada. We compared patients who received opioid agonist treatment predominantly in person, mixed, and predominantly by telemedicine. We used a logistic regression model to evaluate mortality, a Cox proportional hazard model to assess retention, and a negative binomial regression model to evaluate emergency department visits and hospitalizations. The study was performed using administrative health data with physician billing data from the Ontario Health Insurance Plan and prescription data from the Ontario Drug Benefit databases. Results: A total of 55,924 individuals were included in the study. Receiving opioid agonist treatment by predominantly telemedicine was not associated with all-cause mortality (OR = 0.9, 95% CI: 0.8-1.0), 1-year treatment retention (OR = 1.0, 95% CI: 0.9-1.1), or opioid-related emergency department visits and hospitalizations when compared to in-person care. The rate of emergency department visits (IRR = 1.4), the rate of mental health-related emergency department visits (IRR = 1.5), and the rate of mental health-related hospitalizations per year (IRR = 1.2) was higher for patients who received opioid agonist treatment predominantly by telemedicine compared to in person. Conclusion: Our findings support the conclusion that telemedicine is equal to in-person care regarding mortality opioid-related emergency department visits and retention, and is a viable option for those seeking opioid agonist treatment.
... 1 abstinence and treating opioid dependence. 2,3 The practice of prescribing BZD to OMT patients is causing concern, since the combination of opioids with BZD is significantly associated with overdose death, 3 higher risk behaviours, and drug-related harm, such as using high doses of drugs, needle sharing, and intoxication-related accidents. [3][4][5][6] The prevalence of BZD use in OMT patients is not well established, and it is described between 13% and 47%. ...
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Introduction: The co-association of benzodiazepines and opioids is associated with an increased risk of overdose, death, and poorer psychosocial prognosis. The aim of this study is to characterize the prevalence, pattern of use, and primary clinical outcomes in benzodiazepines users in a public opioid maintenance treatment unit. Material and methods: We conducted a cross-sectional study involving 236 patients treated with opioid substitutes (methadone and buprenorphine). We conducted a descriptive, bivariable, and multivariable analysis to determine clinical differences between benzodiazepines users and non-users. Results: The prevalence of consumption of benzodiazepines was 25.4% (60). The benzodiazepines were obtained with a medical prescription (49.8%) or on the black market (42.6%). The most prescribed benzodiazepine was diazepam (29.1%), and the main reasons were to relieve insomnia (27.7%) or anxiety (26.9%) and to enhance the psychoactive effects of other drugs (19.7%). Regarding the clinical outcomes, we highlight: a very high prevalence of hepatitis C (51.7%); severe ongoing consumption of psychoactive drugs (73.7%); and a high rate of depression and anxiety (> 60%), significantly higher in the benzodiazepines-user group. In the multivariable analysis of benzodiazepine use, we found alcohol consumption (OR 0.482; IC 95% 0.247, 0.238) had a negative association and having hepatitis C (OR 2.544, IC 95% 1.273, 5.084) or anxiety symptoms (OR 5.591; IC 95% 2.345, 13.326) had positive associations. Discussion: Our results suggest the BZD users had a complex drug addiction problem and underline the importance of adequately addressing BZD use, contemplating psychological and psychiatric approach in this particular population. Conclusion: Past or current use of benzodiazepines is associated with poor clinical and psychiatric outcomes. A multidisciplinary approach with a focus on infectious diseases and mental health is critical in order to enhance the treatment effectiveness and overall prognosis.
... Since the 1990s, buprenorphine has been a first line medication in the detoxification and substitution treatment for opioid dependence (Auriacombe et al., 2004;Lintzeris et al., 2013Lintzeris et al., , 2019Lofwall and Walsh, 2014;Mariolis et al., 2019;Meader, 2010;Tanum et al., 2017;Walsh et al., 2017) and is also used in the treatment of chronic pain (Davis et al., 2018;Häkkinen et al., 2012;Karanges et al., 2016). The first formulation for the treatment of opioid dependence was a mono-buprenorphine sublingual tablet. ...
Article
Background Buprenorphine is a semi-synthetic opioid used in the treatment of opioid dependence and chronic pain. The current study aimed to determine the characteristics and circumstances of all recorded cases of buprenorphine-related toxicity death in Australia; determine toxicology and organ pathology; and compare these profiles to cases of death due to buprenorphine-related traumatic injury. Methods All cases of buprenorphine-related drug toxicity death were retrieved from the National Coronial Information System (2000–2019), as were all cases of buprenorphine-related traumatic injury. Information was collected on cause of death, case characteristics, toxicology and major organ pathology. Results A total of 314 cases of drug toxicity and 55 of traumatic injury were identified. Toxicity cases were significantly older (40.5 v 36.1 years), more likely to have a history of chronic pain (OR 2.95), less likely to have a history of injecting drug use (OR 0.09), but more likely to have injected buprenorphine proximal to death (OR 4.90). There were no group differences in buprenorphine or norbuprenorphine toxicology. Toxicity cases were more likely to have hypnosedatives (OR 2.08) and other opioids (OR 4.69) present, but less likely to have psychostimulants (OR 0.26) and THC (OR 0.45). Toxicity cases were more likely to be obese (OR 4.05), have pre-existing cardiovascular disease (OR 4.02) and heavier hearts (412.1 v 355.2 g). Conclusions Buprenorphine-related toxicity death cases differed from trauma deaths in their characteristics, toxicology and disease. Fatal buprenorphine toxicity is associated with older age, concurrent use of depressants and cardiovascular disease.
... The importance of Suboxone utilization (and other medications for OUD) in combating the opioid crisis cannot be overstated. Its effectiveness in reducing opioid use is widely known (Fiellin et al., 2015;Hser et al., 2014;Kamien, Branstetter, & Amass, 2008;Mariolis, Bosse, Martin, Wilson, & Chiodo, 2019;Rosenthal et al., 2013). ...
Thesis
In 2017, more than 70,000 people in the United States died due to drug overdoses; of that number, approximately 68% involved prescription or illicit opioids (CDC, 2019). Presently, insurance companies and physicians require all opioid use disorder (OUD) patients to receive counseling during medication treatment for OUD, despite the lack of evidence it is necessary for all patients. This requirement restricts access and creates hardship for those who may benefit from medication alone. In an effort to inform policy and improve quality of treatment, this nonexperimental, correlational study examined the relationship between individual counseling status and treatment outcomes in patients receiving medication treatment for OUD. Treatment outcome variables (treatment utilization, medication use, and opioid use) were extracted from the electronic health records of 11,551 adults who received treatment between January 2016 and January 2018. The impact of individual counseling on outcome variables was examined while controlling for confounding variables (gender, age, race, ethnicity, PTSD/trauma, anxiety, and criminal justice involvement). Bivariate analyses suggested women in OUD treatment were prone to have experienced PTSD/trauma and anxiety, while males were more likely to have CJS involvement. Women were more often retained in care and were in treatment for longer periods of time than males. In addition, older patients used OUD medication more often than younger patients; however, older patients were also more prone to use benzodiazepines and alcohol. Multivariate analyses revealed patients with increased rates of treatment utilization were more likely to utilize medication treatment and demonstrate reduced opioid use. In addition, higher rates of treatment utilization were related to reduced opioid use. Patients with more frequent interruptions in OUD treatment more often tested positive for opioids. This study revealed very little evidence that counseling during OUD treatment had a positive impact on treatment utilization. Yet, it found no evidence that counseling while active in treatment had an impact on medication utilization or opioid use. Although counseling may have some benefit for some patients in OUD treatment, these findings do not support mandating counseling during OUD treatment.
Article
Objective Retaining adolescents and young adults (AYA) in medications for opioid use disorder (MOUD), like methadone maintenance treatment (MMT), is critical to reducing toxic drug fatalities. This analysis sought to identify factors associated with MMT discontinuation among AYA. Method Data were derived from the At-Risk Youth Study, a prospective cohort study of street-involved AYA in Vancouver, Canada, between December 2005 and June 2018. Multivariable extended Cox regression identified factors associated with time to MMT discontinuation among AYA who recently initiated MMT. In subanalysis, multivariable extended Cox regression analysis identified factors associated with time to “actionable” MMT discontinuation, which could be addressed through policy changes. Results A total of 308 participants reported recent MMT during the study period. Participants were excluded if they reported MMT in the past 6 months at baseline and were retained in MMT ( n = 94, 30.5%); were missing MMT status data ( n = 43, 14.0%); or completed an MMT taper ( n = 11, 3.6%). Of the remaining 160 participants who initiated MMT over the study period, 102 (63.8%) discontinued MMT accounting for 119 unique discontinuation events. In multivariable extended Cox regression, MMT discontinuation was positively associated with recent weekly crystal methamphetamine use (adjusted hazard ratio [AHR] = 1.67, 95% confidence interval [CI]: 1.19 to 2.35), but negatively associated with age of first “hard” drug use (per year older) (AHR = 0.95, 95% CI: 0.90 to 1.00) and female sex (AHR = 0.66, 95% CI: 0.44 to 0.99). In subanalysis, recent weekly crystal methamphetamine use (AHR = 4.61, 95% CI: 1.78 to 11.9) and weekly heroin or fentanyl use (AHR = 3.37, 95% CI: 1.21 to 9.38) were positively associated with “actionable” MMT discontinuation, while older age (AHR = 0.87, 95% CI: 0.76 to 0.99) was negatively associated. Conclusions Efforts to revise MMT programming; provide access to a range of MOUD, harm reduction, and treatments; and explore coprescribing stimulants to AYA with concurrent stimulant use may improve treatment retention and reduce toxic drug fatalities.
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Morbidity and mortality associated with opioid use have been on the rise, exemplifying a major public health epidemic. Despite public health interventions, opioid-related morbidity and mortality have yet to plateau or decrease. One explanation for this phenomenon is the presence of barriers to evidence-based pharmacotherapies. Stigma has only recently been identified as a barrier to treatment. The purpose of this report is to evaluate the language used to describe opioid use disorder and associated pharmacologic treatment. Nurse practitioners must emerge as leaders in ensuring that patient-centered and nonstigmatizing language is used to improve patient outcomes.
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Buprenorphine has been used internationally for the treatment of opioid use disorder (OUD) since the 1990s and has been available in the United States for more than a decade. Initial practice recommendations were intentionally conservative, were based on expert opinion, and were influenced by methadone regulations. Since 2003, the American crisis of OUD has dramatically worsened, and much related empirical research has been undertaken. The findings in several important areas conflict with initial clinical practice that is still prevalent. This article reviews research findings in the following 7 areas: location of buprenorphine induction, combining buprenorphine with a benzodiazepine, relapse during buprenorphine treatment, requirements for counseling, uses of drug testing, use of other substances during buprenorphine treatment, and duration of buprenorphine treatment. For each area, evidence for needed updates and modifications in practice is provided. These modifications will facilitate more successful, evidence-based treatment and care for patients with OUD.
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This systematic review synthesizes evidence on the effects of Medication-Assisted Treatment (MAT) for opioid use disorder (OUD) on functional outcomes, including cognitive (e.g., memory), physical (e.g., fatigue), occupational (e.g., return to work), social/behavioral (e.g., criminal activity), and neurological (e.g., balance) function. Five databases were searched from inception to July 2017 to identify English-language controlled trials, case control studies, and cohort comparisons of one or more groups; cross-sectional studies were excluded. Two independent reviewers screened identified literature, abstracted study-level information, and assessed the quality of included studies. Meta-analyses used the Hartung-Knapp method for random-effects models. The quality of evidence was assessed using the GRADE approach. A comprehensive search followed by 1411 full text publication screenings yielded 30 randomized controlled trials (RCTs) and 10 observational studies meeting inclusion criteria. The studies reported highly diverse functional outcome measures. Only one RCT was rated as high quality, but several methodologically sound observational studies were identified. The statistical power to detect differences in functional outcomes was unclear in most studies. When compared with matched “healthy” controls with no history of substance use disorder (SUD), in two studies MAT patients had significantly poorer working memory and cognitive speed. One study found MAT patients scored worse in aggressive responding than did “healthy” controls. A large observational study found that MAT users had twice the odds of involvement in an injurious traffic accident as non-users. When compared with persons with OUD not on MAT, one cohort study found lower fatigue rates among buprenorphine-treated OUD patients. No differences were reported for occupational outcomes and results for criminal activity and other social/behavioral areas were mixed. There were few differences among MAT drug types. A pooled analysis of three RCTs found a significantly lower prevalence of fatigue with buprenorphine compared to methadone, while a meta-analysis of the same RCTs found no statistical difference in insomnia prevalence. Three RCTs that focused on cognitive function compared the effects of buprenorphine to methadone; no statistically significant differences in memory, cognitive speed and flexibility, attention, or vision were reported. The quality of evidence for most functional outcomes was rated low or very low. In sum, weaknesses in the body of evidence prevent strong conclusions about the effects of MAT for opioid use disorder on functional outcomes. Rigorous studies of functional effects would strengthen the body of literature.
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Background: Extended-release naltrexone (XR-NTX), an opioid antagonist, and sublingual buprenorphine-naloxone (BUP-NX), a partial opioid agonist, are pharmacologically and conceptually distinct interventions to prevent opioid relapse. We aimed to estimate the difference in opioid relapse-free survival between XR-NTX and BUP-NX. Methods: We initiated this 24 week, open-label, randomised controlled, comparative effectiveness trial at eight US community-based inpatient services and followed up participants as outpatients. Participants were 18 years or older, had Diagnostic and Statistical Manual of Mental Disorders-5 opioid use disorder, and had used non-prescribed opioids in the past 30 days. We stratified participants by treatment site and opioid use severity and used a web-based permuted block design with random equally weighted block sizes of four and six for randomisation (1:1) to receive XR-NTX or BUP-NX. XR-NTX was monthly intramuscular injections (Vivitrol; Alkermes) and BUP-NX was daily self-administered buprenorphine-naloxone sublingual film (Suboxone; Indivior). The primary outcome was opioid relapse-free survival during 24 weeks of outpatient treatment. Relapse was 4 consecutive weeks of any non-study opioid use by urine toxicology or self-report, or 7 consecutive days of self-reported use. This trial is registered with ClinicalTrials.gov, NCT02032433. Findings: Between Jan 30, 2014, and May 25, 2016, we randomly assigned 570 participants to receive XR-NTX (n=283) or BUP-NX (n=287). The last follow-up visit was Jan 31, 2017. As expected, XR-NTX had a substantial induction hurdle: fewer participants successfully initiated XR-NTX (204 [72%] of 283) than BUP-NX (270 [94%] of 287; p<0·0001). Among all participants who were randomly assigned (intention-to-treat population, n=570) 24 week relapse events were greater for XR-NTX (185 [65%] of 283) than for BUP-NX (163 [57%] of 287; hazard ratio [HR] 1·36, 95% CI 1·10-1·68), most or all of this difference accounted for by early relapse in nearly all (70 [89%] of 79) XR-NTX induction failures. Among participants successfully inducted (per-protocol population, n=474), 24 week relapse events were similar across study groups (p=0·44). Opioid-negative urine samples (p<0·0001) and opioid-abstinent days (p<0·0001) favoured BUP-NX compared with XR-NTX among the intention-to-treat population, but were similar across study groups among the per-protocol population. Self-reported opioid craving was initially less with XR-NTX than with BUP-NX (p=0·0012), then converged by week 24 (p=0·20). With the exception of mild-to-moderate XR-NTX injection site reactions, treatment-emergent adverse events including overdose did not differ between treatment groups. Five fatal overdoses occurred (two in the XR-NTX group and three in the BUP-NX group). Interpretation: In this population it is more difficult to initiate patients to XR-NTX than BUP-NX, and this negatively affected overall relapse. However, once initiated, both medications were equally safe and effective. Future work should focus on facilitating induction to XR-NTX and on improving treatment retention for both medications. Funding: NIDA Clinical Trials Network.
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Objective To compare the risk for all cause and overdose mortality in people with opioid dependence during and after substitution treatment with methadone or buprenorphine and to characterise trends in risk of mortality after initiation and cessation of treatment. Design Systematic review and meta-analysis. Data sources Medline, Embase, PsycINFO, and LILACS to September 2016. Study selection Prospective or retrospective cohort studies in people with opioid dependence that reported deaths from all causes or overdose during follow-up periods in and out of opioid substitution treatment with methadone or buprenorphine. Data extraction and synthesis Two independent reviewers performed data extraction and assessed study quality. Mortality rates in and out of treatment were jointly combined across methadone or buprenorphine cohorts by using multivariate random effects meta-analysis. Results There were 19 eligible cohorts, following 122 885 people treated with methadone over 1.3-13.9 years and 15 831 people treated with buprenorphine over 1.1-4.5 years. Pooled all cause mortality rates were 11.3 and 36.1 per 1000 person years in and out of methadone treatment (unadjusted out-to-in rate ratio 3.20, 95% confidence interval 2.65 to 3.86) and reduced to 4.3 and 9.5 in and out of buprenorphine treatment (2.20, 1.34 to 3.61). In pooled trend analysis, all cause mortality dropped sharply over the first four weeks of methadone treatment and decreased gradually two weeks after leaving treatment. All cause mortality remained stable during induction and remaining time on buprenorphine treatment. Overdose mortality evolved similarly, with pooled overdose mortality rates of 2.6 and 12.7 per 1000 person years in and out of methadone treatment (unadjusted out-to-in rate ratio 4.80, 2.90 to 7.96) and 1.4 and 4.6 in and out of buprenorphine treatment. Conclusions Retention in methadone and buprenorphine treatment is associated with substantial reductions in the risk for all cause and overdose mortality in people dependent on opioids. The induction phase onto methadone treatment and the time immediately after leaving treatment with both drugs are periods of particularly increased mortality risk, which should be dealt with by both public health and clinical strategies to mitigate such risk. These findings are potentially important, but further research must be conducted to properly account for potential confounding and selection bias in comparisons of mortality risk between opioid substitution treatments, as well as throughout periods in and out of each treatment.
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Background: The multi-site Prescription Opioid Addiction Treatment Study (POATS), conducted by the National Drug Abuse Treatment Clinical Trials Network, was the largest clinical trial yet conducted with patients dependent upon prescription opioids (N=653). In addition to main trial results, the study yielded numerous secondary analyses, and included a 3.5-year follow-up study, the first of its kind with this population. This paper reviews key findings from POATS and its follow-up study. Methods: The paper summarizes the POATS design, main outcomes, predictors of outcome, subgroup analyses, the predictive power of early treatment response, and the long-term follow-up study. Results: POATS examined combinations of buprenorphine-naloxone of varying duration and counseling of varying intensity. The primary outcome analysis showed no overall benefit to adding drug counseling to buprenorphine-naloxone and weekly medical management. Only 7% of patients achieved a successful outcome (abstinence or near-abstinence from opioids) during a 4-week taper and 8-week follow-up; by comparison, 49% of patients achieved success while subsequently stabilized on buprenorphine-naloxone. Long-term follow-up results were more encouraging, with higher abstinence rates than in the main trial. Patients receiving opioid agonist treatment at the time of follow-up were more likely to have better outcomes, though a sizeable number of patients succeeded without agonist treatment. Some patients initiated risky use patterns, including heroin use and drug injection. A limitation of the long-term follow-up study was the low follow-up rate. Conclusions: POATS was the first large-scale study of the treatment of prescription opioid dependence; its findings can influence both treatment guidelines and future studies.
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Importance: It is important to understand the magnitude and distribution of the economic burden of prescription opioid overdose, abuse, and dependence to inform clinical practice, research, and other decision makers. Decision makers choosing approaches to address this epidemic need cost information to evaluate the cost effectiveness of their choices. Objective: To estimate the economic burden of prescription opioid overdose, abuse, and dependence from a societal perspective. Design, setting, and participants: Incidence of fatal prescription opioid overdose from the National Vital Statistics System, prevalence of abuse and dependence from the National Survey of Drug Use and Health. Fatal data are for the US population, nonfatal data are a nationally representative sample of the US civilian noninstitutionalized population ages 12 and older. Cost data are from various sources including health care claims data from the Truven Health MarketScan Research Databases, and cost of fatal cases from the WISQARS (Web-based Injury Statistics Query and Reporting System) cost module. Criminal justice costs were derived from the Justice Expenditure and Employment Extracts published by the Department of Justice. Estimates of lost productivity were based on a previously published study. Exposure: Calendar year 2013. Main outcomes and measures: Monetized burden of fatal overdose and abuse and dependence of prescription opioids. Results: The total economic burden is estimated to be $78.5 billion. Over one third of this amount is due to increased health care and substance abuse treatment costs ($28.9 billion). Approximately one quarter of the cost is borne by the public sector in health care, substance abuse treatment, and criminal justice costs. Conclusions and relevance: These estimates can assist decision makers in understanding the magnitude of adverse health outcomes associated with prescription opioid use such as overdose, abuse, and dependence.
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The purpose of this study was to compare the naturalistic outcomes of individuals with alcohol or opioid use problems who were treated with extended-release naltrexone (XR-NTX) to those treated with psychosocial treatment only and also to those treated with other medication-assisted therapies in Missouri during 2010 to 2011. We analyzed intake and discharge data collected as part of SAMHSA's Treatment Episode Data Set assessments. Patients who received XR-NTX during their treatment episode were compared, for those reporting alcohol (but not opioids) as their problem (N = 21,137), to those who received oral naltrexone, acamprosate, and psychosocial treatment only, and for those who reported opioids as a problem (N = 8996), to those receiving oral naltrexone, buprenorphine/naloxone, and psychosocial treatment only. Group differences were adjusted using propensity score weighting, with propensity scores derived from 18 intake variables. For the alcohol sample, patients who received XR-NTX vs. the oral naltrexone group had superior composite outcomes on a measure combining abstinence, self-help participation, employment, and arrests. For the opioid sample, XR-NTX was found to have significantly better outcomes than oral naltrexone on the composite outcome measure. For both the alcohol and opioid samples, the group that received XR-NTX stayed in treatment longer vs. psychosocial treatment only. In the opioid sample, those receiving buprenorphine/naloxone remained in treatment longer than those receiving XR-NTX.
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Objective: A previous positive-controlled clinical study has shown a dose dependent effect of buprenorphine transdermal system on QTc interval prolongation. This study provides assessment of the buprenorphine transdermal system and cardiac arrhythmia using US FDA and WHO postmarketing reporting databases. Methods: Disproportionality analysis of spontaneously reported adverse events to assess whether the reporting rate of cardiac arrhythmia events was disproportionately elevated relative to expected rates of reporting in both FDA and WHO databases. Cardiac arrhythmia events were identified using the standardized Medical Dictionary for Regulatory Activities query for torsade de pointes and/or QT prolongation (TdP/QTP). The threshold for a signal of disproportionate adverse event reporting was defined as the lower 90% confidence limit ≥2 of the Empiric Bayes geometric mean in FDA database and as the lower 95% confidence limit of the Informational Component >0 in WHO database. Results: There were 124 (<1%) and 77 (2%) cardiac arrhythmia event cases associated with buprenorphine transdermal as compared to 3206 (12%) and 2913 (14%) involving methadone in the FDA and WHO databases, respectively. In the FDA database methadone was associated with a signal of disproportionate reporting for TdP/QTP (EB05 3.26); however, buprenorphine transdermal was not (EB05 0.33). In the WHO database methadone was associated with a signal of disproportionate reporting for TdP/QTP (IC025 2.66); however, buprenorphine transdermal was not (IC025 -0.88). Similar trends were observed in sensitivity analyses by age, gender, and specific terms related to ventricular arrhythmia. Conclusions: The signal identified in the transdermal buprenorphine thorough QTc study, which led to a dose limitation in its US label, does not translate into a signal of increased risk for cardiac arrhythmia in real world use, as assessed by this method of analyzing post-market surveillance data.
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Background: Entry into methadone maintenance is associated with a reduction in criminal activity; less is known about the effects of office-based buprenorphine. Objective: To compare criminal charges before and after enrollment in methadone maintenance or office-based buprenorphine. Methods: Subjects were opioid-dependent adults who initiated either methadone maintenance (n = 252) or office-based buprenorphine (n = 252) between 2003 and 2007. Medical records were reviewed to gather demographic data and a state-maintained web-based database to collect data on criminal charges. Overall charges and drug charges in the 2 years prior to and after treatment enrollment were compared. Multivariable analysis was used to examine risk factors for charges after treatment enrollment. Results: In the 2 years after enrolling in treatment, subjects receiving methadone had a significant decline in the proportion of subjects with any charges (49.6% vs. 32.5%, p < .001) or drug charges (25.0% vs. 17.5%, p = .015), as well as the mean number of cases (0.97 vs. 0.63, p = .002) and drug cases (0.38 vs. 0.23, p = .008), while those who initiated buprenorphine did not have significant changes in any of these measures. On multivariable analysis, the strongest predictor of criminal charges in the 2 years after treatment enrollment was prior charges (adjusted odds ratio 3.35, 95% confidence interval, 2.24-5.01). Conclusions: Enrollment in office-based buprenorphine treatment did not appear to have the same beneficial effect on subsequent criminal charges as methadone maintenance. If this observation is replicated in other settings, it may have implications for matching individuals to these treatment options.
Article
Background: Despite the well-known effectiveness and widespread use of relapse prevention medications such as extended release naltrexone (XR-NTX) and buprenorphine for opioid addiction in adults, less is known about their use in younger populations. Methods: This was a naturalistic study using retrospective chart review of N = 56 serial admissions into a specialty community treatment program that featured the use of relapse prevention medications for young adults with opioid use disorders (19-26). Treatment outcomes over 24 weeks included retention, and weekly opioid negative urine tests. Results: Patients were mean age 23.1, 70% male, 86% Caucasian, 82% with history of injection heroin use, and treated with either buprenorphine (77%) or XR-NTX (23%). The mean number of XR-NTX doses received was 4.1. Retention was approximately 65% at 12 weeks and 40% at 24 weeks, and rates of opioid negative urine were 50% at 12 weeks and 39% at 24 weeks, with missing samples imputed as positive. There were no statistically significant differences in retention (t = 1.87, p = .06) or in rates of weekly opioid negative urine tests (t = 1.96, p = .06) between medication groups, over the course of 24 weeks. The XR-NTX group had higher rates of weekly negative urine drug tests for other non-opioid substances (t = 2.83; p < .05) compared to the buprenorphine group. Males were retained in treatment longer and had higher rates of opioid negative weeks compared to females. Conclusions: Our results suggest that relapse prevention medications including both buprenorphine and XR-NTX can be effectively incorporated into standard community treatment for opioid addiction in young adults with good results. Specialty programming focused on opioid addiction in young adults may provide a promising model for further treatment development.