Keith Humphreys’s research while affiliated with Stanford University and other places

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Publications (287)


Fig. 1 | Growth of opioid discussions amongst all users on Reddit. a The discussion about opioids on Reddit over time for the top 10 most discussed opioids. Fentanyl has become the most frequently mentioned non-heroin opioid in recent months. b Comment counts for opioids categorized by muopioid receptor activity. Mentions of full agonist opioids, those with the highest pain relief and nonmedical use potential, have been on the rise since 2010 at a rate similar to heroin mentions and fully surpassing heroin mentions by mid-2017. This change in rates is not identifiable from analyzing the individual opioids.
Fig. 2 | National trends in Reddit opioid discussion and CDC opioid overdose rates. a-c 12-month trailing monthly U.S. opioid overdose CDC death rates per 10,000 people (top panel of subplots, in blue), and monthly opioid comment rates on Reddit per 10,000 total comments (bottom panel of subplots, in orange) for different drug categories, along with d-f: the results of 6-month lead/lag cross-correlation analysis. The cross-correlation analysis indicates that for synthetic
Fig. 3 | Regional trends in Reddit opioid discussion and NFLIS report rates. Fentanyl (a), heroin (b), and hydrocodone (c) semi-annual NFLIS opioid report rates per 100,000 people (orange line, left axes) and semi-annual Reddit opioid comment rates per 100,000 total comments (blue line, right axes) from 2014 to 2022
Fig. 4 | Autoregressive Integrated Moving Average (ARIMA) simulations for synthetic opioids. a Methods summary. As an example, to obtain the mortality rate estimate for January 2023, we combined 6-month-lagged CDC data (blue trendline) with 1-month-lagged Reddit data (orange trendline). Grey bars show the observed monthly overdose death rates per 10,000 people as reported by the CDC once available; solid lines represent data incorporated into the prediction, but dashed line data is not included. In this example, the predicted overdose death rate for January 2023 is generated by CDC data from July 2022 alone (left) or in combination with Reddit data from December 2022 (right). b Predicted monthly overdose death rates
Opioid mentions, unique opioid comments, and unique users mentioning opioids on Reddit between January 2006 and December 2022
Monitoring the opioid epidemic via social media discussions
  • Article
  • Full-text available

May 2025

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4 Reads

npj Digital Medicine

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Adam Lavertu

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Aadesh Salecha

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[...]

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The opioid epidemic persists in the U.S., with over 80,000 deaths annually since 2021, primarily driven by synthetic opioids. Responding to this evolving epidemic requires reliable and timely information. One source of data is social media platforms. We assessed the utility of Reddit data for surveillance, covering heroin, prescription, and synthetic drugs. We built a natural language processing pipeline to identify opioid-related content and created a cohort of 1,689,039 Reddit users, each assigned to a state based on their previous Reddit activity. We measured their opioid-related posts over time and compared rates against CDC overdose and NFLIS report rates. To simulate the real-world prediction of synthetic opioid overdose rates, we added near real-time Reddit data to a model relying on CDC mortality data with a typical 6-month reporting lag. Reddit data significantly improved the prediction accuracy of overdose rates. This work suggests that social media can help monitor drug epidemics.

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Platform shortlisting consort diagram
Consort diagram of iterative exclusion criteria to attain shortlist of 11 social media platforms for further characterization.
Total hits for each of the shortlisted platforms
Shown with a logarithmic scale. Platforms are clustered into three categories by volume of hits, shown by color (darker shade of blue indicates higher volume of hits). Dotted line shows y = x diagonal. a) Total hits for formal opioid term list versus the sum of the total hits for the informal opioid term list and the algospeak opioid term list. b) Total hits for informal opioid term list versus algospeak opioid term list.
Term hits normalized by number of hits for common nouns
Shown with a logarithmic scale and scaling factor of 100,000. As in Fig 2, platforms are clustered into three categories by total volume of hits, shown by color (darker shade of blue indicates higher volume of hits). Dotted line shows y = x diagonal. a) Normalized hit ratios for formal opioid term list versus for informal opioid term list and algospeak opioid term list. b) Normalized hit ratios for informal opioid term list versus algospeak opioid term list.
of characteristics of the 11 shortlisted social media platforms
“Platform focus” gives a brief description of the primary usage of the platform. “Text data available” lists the types of text content that the platform contains, as determined by manual inspection of platforms. “Drug discussion not restricted” column has a checkmark if the platform does not restrict drug-related discussion, and an X if the platform has some form of restrictions, as determined by inspection of platform terms of use (provided in Appendix G in S1 Text). “Has API” column has a checkmark if the platform has an API available (whether the API is freely available or requires authorization before access), and an X if not. “Has research portal” column has a checkmark if the platform has a non-API platform for acquisition of platform data or to receive more information about collaboration with the platform, and an X if not. API and research portal designations were determined by inspection of platform data availability (provided in Appendix H in S1 Text). “Previously researched for opioid pharmacovigilance” column reflects the relative amount of prior research related to opioid surveillance, with a checkmark indicating some prior use in the literature, two checkmarks indicating high prior use in the literature, and an X indicating no prior use in the literature (see “Prior Use in Research Literature” section of Results). “Geolocation available” column has a checkmark if explicit geolocation data is provided for any platform content (this does not indicate explicit geolocation available for all content), and an X if not, as determined by inspection of public-facing platform data specifications (see “Evaluating data accessibility for academic research purposes” section of Results). “Example of geolocation inference strategy” column provides one possible method for inferring geolocation of platform content, based on inference strategies previously employed in the broader literature (see “Evaluating data accessibility for academic research purposes section” of Results).
Structured comparison of platform content policies
Which social media platforms facilitate monitoring the opioid crisis?

April 2025

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20 Reads

Social media can provide real-time insight into trends in substance use, addiction, and recovery. Prior studies have used platforms such as Reddit and X (formerly Twitter), but evolving policies around data access have threatened these platforms’ usability in research. We evaluate the potential of a broad set of platforms to detect emerging trends in the opioid use disorder and overdose epidemic. From these, we identified 11 high-potential platforms, for which we documented policies regulating drug-related discussion, data accessibility, geolocatability, and prior use in opioid-related studies. We quantified their volume of opioid discussion, including in informal language by including slang generated using a large language model. Beyond the most commonly used Reddit and X/Twitter, the platforms with high potential for use in opioid-related surveillance are TikTok, YouTube, and Facebook. Leveraging a variety of social platforms, instead of merely one, yields broader subpopulation representation and safeguards against reduced data access in any single platform.


Intermittent theta burst to the left dorsolateral prefrontal cortex promoted decreased alcohol consumption and improved outcomes in those with alcohol use disorder: A randomized, double-blind, placebo-controlled clinical trial

February 2025

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17 Reads

Drug and Alcohol Dependence

Background: Over 60% of individuals with alcohol use disorder (AUD) resume hazardous drinking within 6 months post-treatment, necessitating the development of more efficacious interventions. Accumulating evidence suggests transcranial magnetic stimulation (TMS) is a promising intervention for AUD. This randomized, double-blind, placebo-controlled trial assessed the efficacy of intermittent theta burst (iTBS), a form of TMS, as an adjunct treatment for AUD. Methods: Forty-nine Veterans with AUD (48 males, 1 female) were recruited from residential AUD and substance use disorder treatment. Participants were randomized to 20 sessions of Active (n=25) or Sham (n=24) iTBS (1200 pulses/session), targeting the left dorsolateral prefrontal cortex (DLPFC) administered over 14 days or less. Five participants were withdrawn unrelated to iTBS procedure adverse events. Participant alcohol/substance use was monitored for 6-months following final iTBS session. Results: Relative to participants who received Sham iTBS, those who received Active iTBS showed a significantly greater reduction in percent heavy drinking days and a trend for higher rate of continuous abstinence over 6-months. Among participants who resumed alcohol consumption, those in the Active group demonstrated significantly lower quantity and duration of alcohol consumption than Sham. Pre-study alcohol consumption variables were not related to post-iTBS treatment outcomes. Conclusions: Findings indicated that Active left DLPFC iTBS, delivered over approximately 2-weeks, was a safe and efficient intervention for AUD that promoted significantly reduced heavy drinking and improved clinical outcomes compared to Sham over 6-months post-iTBS. This study provides novel data to inform and power future larger-scale, multi-site clinical trials employing iTBS for AUD.



High-Risk Emergency Department Visits and Risk of All-Cause Mortality, Suicide, and Fatal Overdose Among US Military Veterans

January 2025

American Journal of Epidemiology

Deaths due to overdose and suicide together comprise an urgent public health challenge. Using VHA electronic health records, we identified patients with high-risk Emergency Department (ED) visits related to suicidality or overdose between January 2010–September 2019 using diagnostic codes from the International Classification of Diseases. We calculated standardized mortality ratios (SMR) for 90-day all-cause and cause-specific mortality associated with high-risk VHA ED visits compared with other VHA ED users, all VHA users, and the US general population. Among 20,382,060 ED visits from 3,705,984 unique Veterans, we identified 318,950 high-risk ED visits. The 90-day all-cause mortality rate among Veterans with high-risk ED visits was 2.81 times the expected rate (95%CI:2.72, 2.92) for other VHA ED users after adjusting for sex, race, and age. Rates remained elevated compared to all VHA users and the US general population. By race, mortality rates were markedly elevated among veterans identified as Asian or Pacific Islander (SMR=3.50, 95%CI:2.86,4.24) compared to other VHA ED users. The 90-day cause-specific SMRs were most pronounced for suicide, overdose, and accidents or unintentional self-harm. These results suggest that high-risk ED visits should trigger assertive, continued mental health care directed at reducing acute mortality through structured suicide prevention programs.





Characterizing Collegiate Recovery Programs in the US and Canada: A Survey of Program Directors

October 2024

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15 Reads

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1 Citation

Journal of Studies on Alcohol and Drugs

Background: Collegiate Recovery Programs (CRPs) play a vital and expanding role in supporting students in recovery from substance use disorders and behavioral addictions at higher education institutions. Despite their importance, there is a lack of comprehensive research characterizing CRPs, including their program directors and the nature and influence of their funding streams. Methods: A survey was administered to 70 CRP directors across the US and Canada. Directors reported on their CRPs across a variety of site physical features, policy and program offerings, and funding sources, with "sustainable" funding defined as two or more sources. Results: CRP directors were predominantly non-Hispanic, White, and female, with representation from gender and sexual minorities. The highest concentration of directors responding were in the US states of North Carolina, California, and Texas. CRPs with more than one funding source served twice as many students and had significantly more space, drop-in facilities, and relapse management policies. CRP directors had positive perceptions of harm reduction principles. Additionally, results highlighted the robust availability of All Recovery meetings and the wide diversity of mutual-help group meetings offered within CRPs and directors' positive perceptions of these meetings. Conclusion: This research lays a foundation for enhancing CRPs within higher education settings, emphasizing the significance of sustained funding and an inclusive support framework for the program directors that run CRPs. Future studies should further explore the effectiveness of CRPs and their impacts on the schools and students they serve.


Therapeutic Potential of Psychedelic Drugs: Navigating High Hopes, Strong Claims, Weak Evidence, and Big Money

August 2024

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37 Reads

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5 Citations

Annual Review of Psychology

Therapeutic claims about many psychedelic drugs have not been evaluated in any studies of even modest rigor. The science of psychedelic drugs is strengthening however, making it easier to differentiate some promising findings amid the hype that suffuses this research area. Ketamine has risks of adverse side effects (e.g., addiction and cystitis), but multiple studies suggest it can benefit individuals with treatment-resistant depression. Other therapeutic signals from psychedelic drug research that merit rigorous replication studies include 3,4-Methylenedioxymethamphetamine (MDMA) for post-traumatic stress disorder (PTSD) and psilocybin for depression, end of life dysphoria, and alcohol use disorder. The precise mechanisms through which psychedelic drugs can produce benefit and harm are not fully understood. Rigorous research is the best path forward for evaluating the therapeutic potential and mechanisms of psychedelic drugs. Policies governing the clinical use of these drugs should be informed by evidence and prioritize the protection of public health over the profit motive.


Citations (71)


... Overdose rates from synthetic opioids have increased by over 22% from 2020 to 2022, with the 2021 annual rate of 73,838 deaths per US population being 22 times greater than the 2013 rate 1 . While fentanyl overdose rates have decreased slightly in 2023, these rates remain very high relative to past years 1,2 . To facilitate a more effective response to this epidemic, public health agencies must be able to quickly identify, monitor, and address both established and emerging patterns of non-medical use 3 . ...

Reference:

Monitoring the opioid epidemic via social media discussions
Recent Drug Overdose Mortality Decline Compared With Pre–COVID-19 Trend
  • Citing Article
  • February 2025

JAMA Network Open

... Stigma, as defined by Goffman [5], refers to an attribute that is deeply discrediting, leading to the marginalization and discrimination of individuals or groups who possess such characteristics. Previous literature highlights that stigmatization can manifest in various forms, such as social exclusion, devaluation, and unjust treatment, all of which contribute to negative stereotypes and social inequalities [6]. Indeed, the issue of stigma is pertinent to the study of psychedelics as they are a class of substances that have been historically stigmatized, yet more recently are receiving a resurgence of interest both in scientific research and popular culture [7]. ...

Therapeutic Potential of Psychedelic Drugs: Navigating High Hopes, Strong Claims, Weak Evidence, and Big Money
  • Citing Article
  • August 2024

Annual Review of Psychology

... The majority of research on drug and disease surveillance in social media has focused on Twitter (recently renamed X), although some research has used Reddit, Facebook, Instagram, or smaller online discussion forums 14 . A review article by Sarker et al. found over 1,000 articles since 2012 related to social media and drug use monitoring 15 . ...

Which Social Media Platforms Provide the Most Informative Data for Monitoring the Opioid Crisis?
  • Citing Preprint
  • July 2024

... We used data from two EHR-derived datasets from Stanford Hospital. The first was the Stanford Medication for Opioid Use Disorder (MOUD) cohort 6,64 . This cohort includes data from patients treated for opioid use disorder at Stanford Hospital between 2009 and 2023. ...

Predictability of buprenorphine‐naloxone treatment retention: A multi‐site analysis combining electronic health records and machine learning
  • Citing Article
  • June 2024

Addiction

... Regarding clinicians or other individuals in the medical profession, evidence-based education on psychedelics' therapeutic applications, risks, benefits and limitations will be important in addressing stigma, as knowledge about psychedelics obtained from media or news articles can often skew overly positive or negative (Shane, Cho & Akhar, 2024;Wells et al., 2024). Similarly, public education on the risks and benefits of psychedelics and psychedelic treatments will be important in countering excessive hype (positive and negative), as increasing advocacy and positive media coverage of psychedelics may lead to public beliefs of psychedelics' treatment efficacy being beyond what has been currently found (Smith & Appelbaum, 2022;Andrews et al., 2024). Education should be responsive to concerns and questions from the public (Belouin et al., 2022). ...

Crafting effective regulatory policies for psychedelics: What can be learned from the case of cannabis?

Addiction

... By including data from multiple sites and diverse clinical settings, the learning models demonstrated improved prediction when applied to new datasets, well beyond the generalizability achieved with data from only a single institution. 18 Another example of using OHDSI for surgeryrelated research was published by Williams et al 4 , who characterized a predictive model for 90-day allcause mortality in total knee replacements using routinely collected patient data. This study used observational health care data from both the United Kingdom and the United States (The Health Improvement Network and Optum, respectively) for a total of 193,615 patients. ...

Towards global model generalizability: independent cross-site feature evaluation for patient-level risk prediction models using the OHDSI network
  • Citing Article
  • February 2024

Journal of the American Medical Informatics Association

... We used data from two EHR-derived datasets from Stanford Hospital. The first was the Stanford Medication for Opioid Use Disorder (MOUD) cohort 6,64 . This cohort includes data from patients treated for opioid use disorder at Stanford Hospital between 2009 and 2023. ...

Predicting premature discontinuation of medication for opioid use disorder from electronic medical records
  • Citing Article
  • January 2024

AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

... However, not all studies reporting improved clinical outcomes were randomized, double-blind, placebo-controlled clinical trials (RCT) and most had limited follow-up periods to assess the durability of TMS-related clinical outcomes. Recently, we reported on the clinical efficacy of a pilot RCT that delivered 20 sessions of left DLPFC iTBS (600 pulses per session, two-to-three sessions/day, over approximately 14 days) to US Armed Services Veterans (designated as Veterans in remainder of this manuscript) in residential treatment for AUD (Padula et al., 2024). Among those who resumed alcohol consumption, individuals who received active iTBS, compared to sham, showed reduced rates of hazardous alcohol consumption for 3 months following treatment. ...

A pilot, randomized clinical trial: Left dorsolateral prefrontal cortex intermittent theta burst stimulation improves treatment outcomes in veterans with alcohol use disorder

... However, a systematic review found that due to the competing demands of the role, staff working in homeless settings often lack quality time with residents and struggle with building good quality relationships (Peters et al., 2022). Importantly, the majority of studies included in existing systematic reviews (Carver et al., 2020;Peters et al., 2022) were mostly conducted in the USA or Canada, where hostels are run with different regulations and where there are differential patterns of drug use and drug-related deaths amongst those experiencing homelessness (Roberts et al., 2023). At the same time, living in hostel accommodation whilst using substances is likely to give rise to similar interpersonal challenges, regardless of the sociopolitical contexts, given combinations of insecure interpersonal attachment styles (Horácio et al., 2023), mental health difficulties (Shulman et al., 2023), and risks of exploitation (McMordie and Fitzpatrick, 2024). ...

Drug-related deaths among housed and homeless individuals in the UK and the USA: comparative retrospective cohort study

The British journal of psychiatry: the journal of mental science

... Machine learningbased predictive models have been reported for spine surgery [10][11][12], knee arthroplasty [13][14][15][16], hip arthroplasty [17], arthroscopic joint surgery [18][19][20][21], outpatient surgery, (20,21) and mixed surgical populations. (22,23) The Stopping Opioids After Surgery score was described as a risk score for sustained opioid use after surgery (defined as sustained prescription opioid use for six months following surgery) [22]. This logistic regression-based model used claims data from TRICARE (the insurance program of the US Department of Defense) that included ~ 90,000 patients undergoing 1 of 10 common surgeries from 2005 to 2014. ...

Prediction of opioid-related outcomes in a medicaid surgical population: Evidence to guide postoperative opiate therapy and monitoring