Eric C Strain

Johns Hopkins University, Baltimore, Maryland, United States

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Publications (138)727.45 Total impact

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    ABSTRACT: Measurement of inappropriate medication use events (e.g., abuse, misuse) in clinical trials is important in characterizing a medication’s abuse potential. However, no “gold standard” assessment of inappropriate use events in clinical trials has been identified. In this systematic review, we examine the measurement properties (i.e., content validity, cross-sectional reliability and construct validity, longitudinal construct validity, ability to detect change, and responder definitions) of instruments assessing inappropriate use of opioid and non-opioid prescription medications to identify any that meet U.S. and European regulatory agencies’ rigorous standards for outcome measures in clinical trials. Sixteen published instruments were identified, most of which were not designed for the selected concept of interest and context of use. For this reason, many instruments were found to lack adequate content validity (or documentation of content validity) to evaluate current inappropriate medication use events; for example, evaluating inappropriate use across the lifespan rather than current use, including items that did not directly assess inappropriate use (e.g., questions about anger), or failing to capture information pertinent to inappropriate use events (e.g., intention, route of administration). In addition, the psychometric data across all instruments were generally limited in scope. A further limitation is the heterogeneous, non-standardized use of inappropriate medication use terminology. These observations suggest that available instruments are not well suited for assessing current inappropriate medication use within the specific context of clinical trials. Further effort is needed to develop reliable and valid instruments to measure current inappropriate medication use events in clinical trials.
    Journal of Pain 02/2015; DOI:10.1016/j.jpain.2015.01.009 · 4.22 Impact Factor
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    ABSTRACT: Background: Methadone maintenance patients (MMP) often abuse other drugs, including alcohol. The combined use of methadone and alcohol could impair performance and daily functioning. Objective: To examine the effects of methadone in combination with alcohol, as well as acute increases in methadone, on performance outcomes. Methods: This double-blind, double-dummy, crossover study included eight opioid-dependent participants stabilized on methadone. Participants completed six inpatient sessions corresponding to methadone (100% or 150% of daily dose) and beverage (placebo, 0.25 or 0.50 g/kg alcohol). Performance tasks were completed before and after drug administration. Area under the time-course values were analyzed by a 2 (methadone dose) by 3 (alcohol dose) repeated measures analysis of variance. Results: Main effects of methadone were observed for two attention outcomes, suggesting reduced accuracy and slowed responding at an elevated methadone dose. In addition, main effects of alcohol were observed for episodic memory (false alarms and response bias) suggesting more impulsive responding as alcohol dose increased. No robust interactions of methadone and alcohol were observed for any outcome. Conclusions: Study findings indicate that an acute increase in methadone (150%) and a moderate dose of alcohol (2–3 drinks) can impair distinct aspects of performance, although no significant interactive effect between methadone and alcohol was found. Future studies with larger sample sizes, larger doses, and more clinically informative tasks could expand on the present findings and further explore the cognitive consequences of concurrent opioid and alcohol use.
    The American Journal of Drug and Alcohol Abuse 01/2015; DOI:10.3109/00952990.2014.987348 · 1.47 Impact Factor
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    ABSTRACT: Aim Epidemiological data indicate that nonmedical use of prescription stimulants has increased over the past decade. However, little is known regarding the source of the misused stimulants and whether different sources correspond to differences in risk profiles and associated social and health problems Method Data from the 2006 to 2011 National Survey on Drug Use and Health were used. A total of 4,945 participants who used prescription stimulants nonmedically and also reported their source of misused stimulants were categorized by the source: friend/relative, physician and illegal. Logistic regression models compared the socio-demographic, mental health and behavioral problems, and stimulant use-related problems (onset, recency, frequency, severity) according to the source of the misused stimulants Results The most common sources of stimulants were friends/relatives, followed by physicians and illegal sources. Compared to participants reporting friends/relatives as the source, participants reporting an illegal source were more likely to be male, unemployed, have less than a high school education, a history of criminal behavior and an earlier age of use onset. Participants reporting a physician source were more likely to have mental health problems and mental health service use. Higher odds of past-month stimulant use, frequent use (≥10 days per year), drug dependence and substance service use were found in individuals reporting physician and illegal sources Conclusions Identifying the source of misused stimulants may be useful in detecting distinct subgroups of nonmedical prescription stimulant users, which may inform development of tailored prevention and treatment programs and contribute to individual treatment planning.
    Drug and Alcohol Dependence 12/2014; DOI:10.1016/j.drugalcdep.2014.09.781 · 3.28 Impact Factor
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    ABSTRACT: We examined the use of employment-based abstinence reinforcement in out-of-treatment injection drug users, in this secondary analysis of a previously reported trial. Participants (N = 33) could work in the therapeutic workplace, a model employment-based program for drug addiction, for 30 weeks and could earn approximately $10 per hr. During a 4-week induction, participants only had to work to earn pay. After induction, access to the workplace was contingent on enrollment in methadone treatment. After participants met the methadone contingency for 3 weeks, they had to provide opiate-negative urine samples to maintain maximum pay. After participants met those contingencies for 3 weeks, they had to provide opiate- and cocaine-negative urine samples to maintain maximum pay. The percentage of drug-negative urine samples remained stable until the abstinence reinforcement contingency for each drug was applied. The percentage of opiate- and cocaine-negative urine samples increased abruptly and significantly after the opiate- and cocaine-abstinence contingencies, respectively, were applied. These results demonstrate that the sequential administration of employment-based abstinence reinforcement can increase opiate and cocaine abstinence among out-of-treatment injection drug users.
    Journal of Applied Behavior Analysis 12/2014; 47(4). DOI:10.1002/jaba.158 · 1.19 Impact Factor
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    ABSTRACT: Abstract Health systems in the USA have received a mandate to improve quality while reining in costs. Several opportunities have been created to stimulate this transformation. This paper describes the design, early implementation and lessons learned for the behavioural components of the John Hopkins Community Health Partnership (J-CHiP) programme. J-CHiP is designed to improve health outcomes and reduce the total healthcare costs of a group of high healthcare use patients who are insured by the government-funded health insurance programmes, Medicaid and Medicare. These patients have a disproportionately high prevalence of depression, other psychiatric conditions, and unhealthy behaviours that could be addressed with behavioural interventions. The J-CHiP behavioural intervention is based on integrated care models, which include embedding mental health professionals into primary sites. A four-session behaviour-based protocol was developed to motivate self-efficacy through illness management skills. In addition to staff embedded in primary care, the programme design includes expedited access to specialist psychiatric services as well as a community outreach component that addresses stigma. The progress and challenges involved with developing this programme over a relatively short period of time are discussed.
    International Review of Psychiatry 12/2014; 26(6):648-56. DOI:10.3109/09540261.2014.979777 · 1.80 Impact Factor
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    ABSTRACT: Topiramate is being investigated as a potential pharmacotherapy for the treatment of addictive disorders. However, its cognitive side effects raise concerns about its use, especially in populations with cognitive impairment, such as persons with chronic substance use disorders. This study investigated topiramate's cognitive effects in individuals dually dependent on cocaine and opioids as part of a double-blind, randomized, controlled trial of topiramate for cocaine dependence treatment. After 5 weeks of stabilization on daily oral methadone (M = 96 mg), participants were randomized to topiramate (n = 18) or placebo (n = 22). Cognitive testing took place at 2 time points: study weeks 4 through 5 to assess baseline performance and 10 to 13 weeks later to assess performance during stable dosing (300 mg topiramate or placebo). All participants were maintained on methadone at both testing times, and testing occurred 2 hours after the daily methadone plus topiramate/placebo administration. The topiramate and placebo groups did not differ on sex, level of education, premorbid intelligence, methadone dose, or illicit drug use. Topiramate slowed psychomotor and information processing speed, worsened divided attention, reduced n-back working memory accuracy, and increased the false alarm rate in recognition memory. Topiramate had no effects on visual processing, other measures of psychomotor function, risk-taking, self-control, Sternberg working memory, free recall, and metamemory. These findings indicate that topiramate may cause cognitive impairment in this population. This effect may limit its acceptability and use as a treatment in individuals with chronic opioid and cocaine use disorders, among whom preexisting cognitive impairments are common. (PsycINFO Database Record (c) 2014 APA, all rights reserved).
    Psychology of Addictive Behaviors 11/2014; DOI:10.1037/adb0000027 · 2.09 Impact Factor
  • Drug and Alcohol Dependence 07/2014; 140:e226-e227. DOI:10.1016/j.drugalcdep.2014.02.627 · 3.28 Impact Factor
  • Eric C Strain
    Drug and Alcohol Dependence 07/2014; 140:e1. DOI:10.1016/j.drugalcdep.2014.02.695 · 3.28 Impact Factor
  • Drug and Alcohol Dependence 07/2014; 140:e52-e53. DOI:10.1016/j.drugalcdep.2014.02.163 · 3.28 Impact Factor
  • Drug and Alcohol Dependence 07/2014; 140:e6. DOI:10.1016/j.drugalcdep.2014.02.038 · 3.28 Impact Factor
  • Drug and Alcohol Dependence 07/2014; 140:e230. DOI:10.1016/j.drugalcdep.2014.02.636 · 3.28 Impact Factor
  • Drug and Alcohol Dependence 07/2014; 140:e230. DOI:10.1016/j.drugalcdep.2014.02.637 · 3.28 Impact Factor
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    Annual Meeting of the College on Problems of Drug Dependence, San Juan, PR; 06/2014
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    ABSTRACT: Aims: To examine patterns of concurrent substance use among adults with nonmedical ADHD stimulant use. Methods: We used latent class analysis (LCA) to examine patterns of past-year problematic substance use (meeting any criteria for abuse or dependence) in a sample of 6103 adult participants from the National Surveys on Drug Use and Health 2006-2011 who reported past-year nonmedical use of ADHD stimulants. Multivariable latent regression was used to assess the association of socio-demographic characteristics, mental health and behavioral problems with the latent classes. Results: A four-class model had the best model fit, including (1) participants with low probabilities for any problematic substance use (Low substance class, 53.3%); (2) problematic users of all types of prescription drugs (Prescription drug class, 13.3%); (3) participants with high probabilities of problematic alcohol and marijuana use (Alcohol-marijuana class, 28.8%); and (4) those with high probabilities of problematic use of multiple drugs and alcohol (Multiple substance class, 4.6%). Participants in the 4 classes had distinct socio-demographic, mental health and service use profiles with those in the Multiple substance class being more likely to report mental health and behavioral problems and service use. Conclusion: Nonmedical users of ADHD stimulants are a heterogeneous group with a large subgroup with low prevalence of problematic use of other substances. These subgroups have distinct patterns of mental health comorbidity, behavior problems and service use, with implications for prevention and treatment of nonmedical stimulant use.
    Drug and Alcohol Dependence 06/2014; DOI:10.1016/j.drugalcdep.2014.05.022 · 3.28 Impact Factor
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    ABSTRACT: Background Despite chemical similarities, ADHD stimulants and methamphetamine have distinct use patterns in the community. This study compared the characteristics of nonmedical ADHD stimulants users and methamphetamine users in a household sample. Methods In data from the 2009–2011 National Survey on Drug Use and Health, adult and adolescent stimulant users were categorized into three mutually exclusive subgroups: nonmedical ADHD stimulant users only (STM users), methamphetamine users (METH users), and both nonmedical ADHD stimulant and methamphetamine users (STM/METH users). Multivariate logistic regression analyses identified the substance comorbidity, mental health, and deviant behavior characteristics associated with these three groups. Results Compared to adolescent STM users, STM/METH users were more likely to be female, younger and uninsured while METH users were more likely to be younger, in a minority group and from a higher-income family. Compared to adult STM users, METH and STM/METH users were more likely to be male, older, uninsured, no longer married, and to be from rural areas. Adolescent METH users were more likely than STM users to report illegal drug use while adult METH users were less likely to report prescription drug use than their STM user counterparts. Overall, adult and adolescent STM/METH users were more likely to report substance use, mental health problems and deviant behaviors compared to STM users. Conclusion The characteristics of STM users differ from METH and STM/METH users, and their associations with substance use and psychiatric comorbidities differ by age. Findings have implications for understanding the risks for stimulant use in different age subgroups.
    Addictive behaviors 05/2014; 39(5):829–836. DOI:10.1016/j.addbeh.2014.01.018 · 2.44 Impact Factor
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    ABSTRACT: Dual dependence on opiate and cocaine occurs in about 60% of patients admitted to methadone maintenance and negatively impacts prognosis (Kosten et al. 2003. Drug Alcohol Depend. 70, 315). Topiramate (TOP) is an antiepileptic drug that may have utility in the treatment of cocaine dependence because it enhances the GABAergic system, antagonizes the glutamatergic system, and has been identified by NIDA as one of only a few medications providing a "positive signal" warranting further clinical investigation. (Vocci and Ling, 2005. Pharmacol. Ther. 108, 94). In this double-blind controlled clinical trial, cocaine dependent methadone maintenance patients (N=171) were randomly assigned to one of four groups. Under a factorial design, participants received either TOP or placebo, and monetary voucher incentives that were either contingent (CM) or non-contingent (Non-CM) on drug abstinence. TOP participants were inducted onto TOP over 7 weeks, stabilized for 8 weeks at 300mg daily then tapered over 3 weeks. Voucher incentives were supplied for 12 weeks, starting during the fourth week of TOP induction. Primary outcome measures were cocaine abstinence (Y/N) as measured by thrice weekly urinalysis and analyzed using Generalized Estimating Equations (GEE) and treatment retention. All analyses were intent to treat and included the 12-week evaluation phase of combined TOP/P treatment and voucher intervention period. There was no significant difference in cocaine abstinence between the TOP vs. P conditions nor between the CM vs. Non-CM conditions. There was no significant TOP/CM interaction. Retention was not significantly different between the groups. Topiramate is not efficacious for increasing cocaine abstinence in methadone patients.
    Drug and alcohol dependence 04/2014; DOI:10.1016/j.drugalcdep.2014.03.033 · 3.28 Impact Factor
  • Marcus R Munafò, Eric Strain
    Drug and alcohol dependence 04/2014; 137:1-2. DOI:10.1016/j.drugalcdep.2014.02.699 · 3.28 Impact Factor
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    ABSTRACT: Methadone is used for the treatment of opioid addiction and for treatment of chronic pain. The safety of methadone has been called into question by data indicating a large increase in the number of methadone-associated overdose deaths in recent years that has occurred in parallel with a dramatic rise in the use of methadone for chronic pain. The American Pain Society and the College on Problems of Drug Dependence, in collaboration with the Heart Rhythm Society, commissioned an interdisciplinary expert panel to develop a clinical practice guideline on safer prescribing of methadone for treatment of opioid addiction and chronic pain. As part of the guideline development process, the American Pain Society commissioned a systematic review of various aspects related to safety of methadone. After a review of the available evidence, the expert panel concluded that measures can be taken to promote safer use of methadone. Specific recommendations include the need to educate and counsel patients on methadone safety, use of electrocardiography to identify persons at greater risk for methadone-associated arrhythmia, use of alternative opioids in patients at high risk of complications related to corrected electrocardiographic QTc interval prolongation, careful dose initiation and titration of methadone, and diligent monitoring and follow-up. Although these guidelines are based on a systematic review, the panel identified numerous research gaps, most recommendations were based on low-quality evidence, and no recommendations were based on high-quality evidence. Perspective This guideline, based on a systematic review of the evidence on methadone safety, provides recommendations developed by a multidisciplinary expert panel. Safe use of methadone requires clinical skills and knowledge in use of methadone to mitigate potential risks, including serious risks related to risk of overdose and cardiac arrhythmias.
    The journal of pain: official journal of the American Pain Society 04/2014; 15(4):321–337. DOI:10.1016/j.jpain.2014.01.494 · 4.22 Impact Factor
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    ABSTRACT: Objective Determine if employment-based reinforcement can increase methadone treatment engagement and drug abstinence in out-of-treatment injection drug users. Method This study was conducted from 2008–2012 in a therapeutic workplace in Baltimore, MD. After a 4-week induction, participants (N=98) could work and earn pay for 26 weeks and were randomly assigned to Work Reinforcement, Methadone & Work Reinforcement, and Abstinence, Methadone & Work Reinforcement conditions. Work Reinforcement participants had to work to earn pay. Methadone & Work Reinforcement, and Abstinence, Methadone, & Work Reinforcement participants had to enroll in methadone treatment to work and maximize pay. Abstinence, Methadone, & Work Reinforcement participants had to provide opiate- and cocaine-negative urine samples to maximize pay. Results Most participants (92%) enrolled in methadone treatment during induction. Drug abstinence increased as a graded function of the addition of the methadone and abstinence contingencies. Abstinence, Methadone & Work Reinforcement participants provided significantly more urine samples negative for opiates (75% versus 54%) and cocaine (57% versus 32%) than Work Reinforcement participants. Methadone & Work Reinforcement participants provided significantly more cocaine-negative samples than Work Reinforcement participants (55% versus 32%). Conclusion The therapeutic workplace can promote drug abstinence in out-of-treatment injection drug users. Clinical Trial Registration Number: NCT01416584
    Preventive Medicine 03/2014; DOI:10.1016/j.ypmed.2014.02.021 · 2.93 Impact Factor
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    ABSTRACT: Given the long-term nature of methadone maintenance treatment, it is important to assess the extent of cognitive side effects. This study investigated cognitive and psychomotor performance in 51 methadone maintenance patients (MMP) as a function of time since last methadone dose and maintenance dose level. MMP maintained on doses ranging from 40 to 200 mg (mean = 97 mg) completed a battery of psychomotor and cognitive measures across 2 sessions, during peak and trough states, in a double-blind crossover design. Peak sessions were associated with worse performance on measures of sensory processing, psychomotor speed, divided attention, and working memory, compared with trough sessions. The effects of maintenance dose were mixed, with higher dose resulting in worse performance on aspects of attention and working memory, improved performance on executive function, and no effects on several measures. Longer treatment duration was associated with better performance on some measures, but was also associated with increased sensitivity to time since last dose (i.e., worse performance at peak vs. trough) on some measures. The results suggest that cognitive functioning can fluctuate as a function of time since last dose even in MMP who have been maintained on stable doses for an extended time (mean duration in treatment = 4 years), but worsened performance at peak is limited to a subset of functions and may not be clinically significant at these modest levels of behavioral effect. For patients on stable methadone maintenance doses, maintenance at higher doses may not significantly increase the risk of performance impairment. (PsycINFO Database Record (c) 2014 APA, all rights reserved).
    Experimental and Clinical Psychopharmacology 02/2014; DOI:10.1037/a0035712 · 2.63 Impact Factor

Publication Stats

4k Citations
727.45 Total Impact Points

Institutions

  • 1992–2015
    • Johns Hopkins University
      • Department of Psychiatry and Behavioral Sciences
      Baltimore, Maryland, United States
  • 1991–2014
    • Johns Hopkins Medicine
      • Department of Psychiatry and Behavioral Sciences
      Baltimore, Maryland, United States
  • 2013
    • Johns Hopkins Bloomberg School of Public Health
      • Department of Mental Health
      Baltimore, MD, United States
  • 2009
    • University of Kentucky
      • Department of Psychiatry
      Lexington, KY, United States
  • 1996
    • National Institute on Drug Abuse
      Роквилл, Maryland, United States