Faculty Bibliography

As the USA faces a worsening overdose crisis, improving access to evidence-based treatment for opioid use disorder (OUD) remains a policy priority. Federal regulatory changes in response to the COVID-19 pandemic substantially expanded flexibilities on take-home doses for methadone treatment for OUD. These changes have fuelled questions about the effect of new regulations on OUD outcomes and the potential effect on health of permanently integrating these flexibilities into treatment policy going forward. To aide US policy makers as they consider implementing permanent methadone regulatory changes, we conducted a review synthesising peer-reviewed research on the effect of the flexibilities of methadone take-home policies introduced during COVID-19 on methadone programme operations, OUD patient and provider experiences, and patient health outcomes. We interpret the findings in the context of the federal rule-making process and discuss avenues by which these findings can be incorporated and implemented into US policies on substance use treatment going forward.

BACKGROUND AND AIMS/OBJECTIVE:Opioid overdose is a leading cause of death during the immediate time after release from jail or prison. Most jails in the United States do not provide methadone and buprenorphine treatment for opioid use disorder (MOUD), and research in estimating its impact in jail settings is limited. We aimed to test the hypothesis that in-jail MOUD is associated with lower overdose mortality risk post-release. DESIGN, SETTING AND PARTICIPANTS/METHODS:Retrospective, observational cohort study of 15 797 adults with opioid use disorder who were released from New York City jails to the community in 2011-17. They experienced 31 382 incarcerations and were followed up to 1 year. MEASUREMENTS/METHODS:The primary outcomes were death caused by accidental drug poisoning and all-cause death. The exposure was receipt of MOUD (17 119 events) versus out-of-treatment (14 263 events) during the last 3 days before community reentry. Covariates included demographic, clinical, behavioral, housing, healthcare utilization, and legal characteristics variables. We performed multivariable, mixed-effect Cox regression analysis to test association between in-jail MOUD and deaths. FINDINGS/RESULTS:A majority were male (82%) and their average age was 42 years. Receiving MOUD was associated with misdemeanor charges, being female, injection drug use, and homelessness. During 1 year post-release, 111 overdose deaths occurred, and crude death rates were 0.49 and 0.83 per 100 person-years for in-jail MOUD and out-of-treatment groups, respectively. Accounting for confounding and random effects, in-jail MOUD was associated with lower overdose mortality risk (adjusted hazard ratio = 0.20, 95% CI = 0.08-0.46), and all-cause mortality risk (adjusted hazard ratio = 0.22, 95% CI = 0.11-0.42) for the first month post-release. CONCLUSIONS:Methadone and buprenorphine treatment for opioid use disorder during incarceration was associated with an 80% reduction in overdose mortality risk for the first month post-release.

OBJECTIVE:The COVID-19 pandemic has significantly affected people's ability to buy, sell, and obtain items that they use in their daily lives. It may have had a particularly negative effect on the ability of people who use illicit opioids to obtain them because the networks they relied on are illicit and not part of the formal economy. Our objective in this research was to examine if, and how, disruptions related to COVID-19 of illicit opioid markets have affected people who use illicit opioids. METHOD:We collected 300 posts--including replies to posts--related to the intersection of COVID-19 and opioid use from Reddit.com, a forum that has several discussion threads (i.e., subreddits) dedicated to opioids. We then coded posts from the two most popular opioid subreddits during the early pandemic period (March 5, 2020-May 13, 2020) using an inductive/deductive approach. RESULTS:We found two themes related to active opioid use during the early pandemic: (a) changes in drug supply and difficulty obtaining opioids, and (b) buying less-trustworthy drugs from lesser-known sources. CONCLUSIONS:Our findings suggest that COVID-19 has created market conditions that place people who use opioids at risk of adverse outcomes, such as fatal overdose.

OBJECTIVES/OBJECTIVE:We sought to understand how opioid treatment programs (OTPs) adapted OTP operations to the COVID-19 pandemic and new federal regulations around methadone and buprenorphine. METHODS:In fall 2020, we conducted an online survey of all 103 OTPs licensed by the Pennsylvania Department of Drug and Alcohol Programs, including clinical directors. Survey domains included changes to methadone take-home and telehealth practices; overdose and diversion prevention tactics; perceptions regarding how such changes influence patient well-being; and financial/operational concerns related to the new policies and practices. We calculated descriptive statistics and conducted Chi-square test to test for differences between not-for-profit versus for-profit and large versus small OTPs. RESULTS:Forty-seven percent (46%) OTPs responded to the survey. 10% and 25%, respectively, endorsed offering telephone and video-based telemedicine buprenorphine induction. Sixty-six percent endorsed extending take-home supplies of methadone, but most indicated that these extensions applied to a minority of their patients. Most respondents agreed that provision of buprenorphine via telehealth and extended take-home methadone reduced patient burden in accessing medications and prevented exposure to COVID-19, while not significantly increasing risk of overdose. We did not find major differences in COVID-19 practice modifications by nonprofit status or size of OTP. CONCLUSIONS:In Pennsylvania, the COVID-19 pandemic led to rapid changes in provision of opioid treatment services. Findings on relatively low uptake of longer methadone take-home regimens and virtual buprenorphine initiation despite general support for these practices imply a need to further develop guidelines for best clinical practices and understand/address barriers to their implementation.

OBJECTIVES/OBJECTIVE:Behavioral health diagnoses are frequently underreported in administrative health data. For a pragmatic trial of a hospital addiction consult program, we sought to determine the sensitivity of Medicaid claims data for identifying patients with opioid use disorder (OUD). METHODS:A structured review of electronic health record (EHR) data was conducted to identify patients with OUD in 6 New York City public hospitals. Cases selected for review were adults admitted to medical/surgical inpatient units who received methadone or sublingual buprenorphine in the hospital. For cases with OUD based on EHR review, we searched for the hospitalization in Medicaid claims data and examined International Classification of Diseases, Tenth Revision discharge diagnosis codes to identify opioid diagnoses (OUD, opioid poisoning, or opioid-related adverse events). Sensitivity of Medicaid claims data for capturing OUD hospitalizations was calculated using EHR review findings as the reference standard measure. RESULTS:Among 552 cases with OUD based on EHR review, 465 (84.2%) were found in the Medicaid claims data, of which 418 (89.9%) had an opioid discharge diagnosis. Opioid diagnoses were the primary diagnosis in 49 cases (11.7%), whereas in the remainder, they were secondary diagnoses. CONCLUSION/CONCLUSIONS:In this sample of hospitalized patients receiving OUD medications, Medicaid claims seem to have good sensitivity for capturing opioid diagnoses. Although the sensitivity of claims data may vary, it can potentially be a valuable source of information about OUD patients.

OBJECTIVES/OBJECTIVE:There is a growing concern over the increased prevalence of fentanyl contaminated oxycodone pills, referred to as M30s. The current study is an examination of content on the Reddit social media site in order to understand the perceptions of and experiences with exposure to fentanyl contaminated M30 pills. METHODS:Data include subreddit posts collected from January 1, 2021, to July 28, 2021, from 71 drug-related subreddits using 34 fentanyl-related search terms. A random subsample of 500 posts was examined for thematic analysis. 226 (45.2%) of posts were determined to be relevant and included in the final sample. RESULTS:Over one-third (n = 85, 37.6%) of subreddit posts with mention of fentanyl were related to pressed M30 pills. Three emergent themes related to pressed M30 pills were identified: suspicion of contamination in oxycodone pills was pervasive (51.2%), composition of pills evoked anxiety (40%), and M30 mitigation and testing strategies (29.4%). CONCLUSIONS:Many persons on the online communities of Reddit who use drugs were aware of fentanyl contamination in the current pressed pill market. Reddit offered a space to network with others to discuss harm reduction strategies and anxieties surrounding the pervasiveness of fentanyl in the current drug market.

BACKGROUND:Substance use treatment and harm reduction services are essential components of comprehensive strategies for reducing the harms of drug use and overdose. However, these services have been historically siloed, and there is a need to better understand how programs that serve people who use drugs (PWUD) are integrating these services. In this study, we compared treatment and harm reduction services offered by a multistate sample of substance use service providers and assessed how well they align with characteristics and needs of clients they serve early in the COVID-19 pandemic. METHODS:We recruited a convenience sample of programs that deliver harm reduction and/or treatment services in ten US states. Program directors participated in a survey assessing the services offered at their program. We also recruited clients of these programs to participate in a survey assessing a range of sociodemographic and health characteristics, substance use behaviors, and health service utilization. We then cross-compared client characteristics and behaviors relative to services being offered through these programs. RESULTS:We collected and analyzed data from 511 clients attending 18 programs that we classified as either offering treatment with medications for opioid use disorder (MOUD) (N = 6), syringe service programs (SSP) (N = 8), or offering both MOUD and SSP (N = 4). All programs delivered a range of treatment and harm reduction services, with MOUD & SSP programs delivering the greatest breadth of services. There were discrepancies between services provided and characteristics and behaviors reported by clients: 80% of clients of programs that offered MOUD without SSP actively used drugs and 50% injected drugs; 40% of clients of programs that offered SSP without MOUD sought drug treatment services. Approximately half of clients were unemployed and unstably housed, but few programs offered direct social services. CONCLUSIONS:In many ways, existing programs are not meeting the service needs of PWUD. Investing in innovative models that empower clients and integrate a range of accessible and flexible treatment, harm reduction and social services can pave the way for a more effective and equitable service system that considers the long-term health of PWUD.

BACKGROUND:There is pressing need to improve hospital-based addiction care. Various models for integrating substance use disorder care into hospital settings exist, but there is no framework for describing, selecting, or comparing models. We sought to fill that gap by constructing a taxonomy of hospital-based addiction care models based on scoping literature review and key informant interviews. METHODS:Methods included a scoping review of the literature on US hospital-based addiction care models and interventions for adults, published between January 2000 and July 2021. We conducted semi-structured interviews with 15 key informants experienced in leading, implementing, evaluating, andpracticing hospital-based addiction care to explore model characteristics, including their perceived strengths, limitations, and implementation considerations. We synthesized findings from the literature review and interviews to construct a taxonomy of model types. RESULTS:Searches identified 2,849 unique abstracts. Of these, we reviewed 280 full text articles, of which 76 were included in the final review. We added 8 references from reference lists and informant interviews, and 4 gray literature sources. We identified six distinct hospital-based addiction care models. Those classified as addiction consult models include (1) interprofessional addiction consult services, (2) psychiatry consult liaison services, and (3) individual consultant models. Those classified as practice-based models, wherein general hospital staff integrate addiction care into usual practice, include (4) hospital-based opioid treatment and (5) hospital-based alcohol treatment. The final type was (6) community-based in-reach, wherein community providers deliver care. Models vary in their target patient population, staffing, and core clinical and systems change activities. Limitations include that some models have overlapping characteristics and variable ways of delivering core components. DISCUSSION/CONCLUSIONS:A taxonomy provides hospital clinicians and administrators, researchers, and policy-makers with a framework to describe, compare, and select models for implementing hospital-based addiction care and measure outcomes.

BACKGROUND:The United States overdose crisis continues unabated. Despite efforts to increase capacity for treating opioid use disorder (OUD) in the U.S., how actual treatment receipt compares to need remains unclear. In this cross-sectional study, we estimate progress in addressing the gap between OUD prevalence and OUD treatment receipt at the national and state levels from 2010 to 2019. METHODS:We estimated past-year OUD prevalence rates based on the U.S. National Survey on Drug Use and Health (NSDUH), using adjustment methods that attempt to account for OUD underestimation in national household surveys. We used data from specialty substance use treatment records and outpatient pharmacy claims to estimate the gap between OUD prevalence and number of persons receiving medications for opioid use disorder (MOUD) during the past decade. RESULTS:Adjusted estimates suggest past-year OUD affected 7,631,804 individuals in the U.S. in (2,773 per 100,000 adults 12+), relative to only 1,023,959 individuals who received MOUD (365 per 100,000 adults 12+). This implies approximately 86.6% of individuals with OUD nationwide who may benefit from MOUD treatment do not receive it. MOUD receipt increased across states over the past decade, but most regions still experience wide gaps between OUD prevalence and MOUD receipt. CONCLUSIONS:Despite some progress in expanding access to MOUD, a substantial gap between OUD prevalence and treatment receipt highlights the critical need to increase access to evidence-based services.

OBJECTIVE:Polysubstance use may complicate treatment outcomes for individuals who use opioids. This research aimed to examine the prevalence of polysubstance use in an opioid use disorder treatment trial population and polysubstance use's association with opioid relapse and craving. METHODS:This study is a secondary data analysis of individuals with opioid use disorder who received at least one dose of medication (n = 474) as part of a 24-week, multi-site, open label, randomized Clinical Trials Network study (CTN0051, X:BOT) comparing the effectiveness of extended-release naltrexone versus buprenorphine. Models examined pretreatment polysubstance use and polysubstance use during the initial 4 weeks of treatment on outcomes of relapse by week 24 of the treatment trial and opioid craving. RESULTS:Polysubstance use was generally not associated with treatment outcomes of opioid relapse and craving. Proportion of days of pretreatment sedative use was associated with increased likelihood of opioid relapse (OR: 1.01, 95 % CI: 1.00-1.02). Proportion of days of cocaine use during the initial 4 weeks of treatment was associated with increased likelihood of opioid relapse (OR: 1.05, 95 % CI: 1.01-1.09) but this effect was no longer significant once the potential of confounding by opioid use was considered. Sedative use during initial 4 weeks of treatment was associated with increased opioid craving (b: 0.77, 95 % CI: 0.01-1.52). The study found no other significant relationships. CONCLUSIONS:In the current study population, polysubstance use was only marginally associated with 24-week treatment outcomes.