Faculty Bibliography

BACKGROUND:Medications for opioid use disorder are associated with a lower risk of drug overdoses at the individual level. However, little is known about whether these effects translate to population-level reductions. We investigated whether county-level efforts to increase access to medication for opioid use disorder in 2012-2014 were associated with opioid overdose deaths in New York State during the first years of the synthetic opioid crisis. METHODS:We performed an ecologic county-level study including data from 60 counties (2010-2018). We calculated rates of people receiving medication for opioid use disorder among the population misusing opioids in 2012-2014 and categorized counties into quartiles of this exposure. We modeled synthetic and nonsynthetic opioid overdose death rates using Bayesian hierarchical models. RESULTS:Counties with higher rates of receiving medications for opioid use disorder in 2012-2014 had lower synthetic opioid overdose deaths in 2016 (highest vs. lowest quartile: rate ratio [RR] = 0.33, 95% credible interval [CrI] = 0.12, 0.98; and second-highest vs. lowest: RR = 0.20, 95% CrI = 0.07, 0.59) and 2017 (quartile second-highest vs. lowest: RR = 0.22, 95% CrI = 0.06, 0.83), but not 2018. There were no differences in nonsynthetic opioid overdose death rates comparing higher quartiles versus lowest quartile of exposure. CONCLUSIONS:A spatio-temporal modeling approach incorporating counts of the population misusing opioids provided information about trends and interventions in the target population. Higher rates of receiving medications for opioid use disorder in 2012-2014 were associated with lower rates of synthetic opioid overdose deaths early in the crisis.

BACKGROUND AND AIMS/OBJECTIVE:US regulatory changes allowed for additional methadone take-home doses following COVID-19 onset. How dispensing practices changed and which factors drove variation remains unexplored. We determined daily methadone dispensing trajectories over six months before and after regulatory changes due to COVID-19 using state sequence analysis and explored correlates. DESIGN/METHODS:Retrospective chart review of electronic health records. SETTINGS/METHODS:Nine opioid treatment programs (OTPs) across nine US states. PARTICIPANTS/METHODS:Adults initiating treatment in 2019 (n = 328) vs. initiating 1 month after the COVID-19 regulatory changes of March 2020 (n = 376). MEASUREMENTS/METHODS:Type of daily methadone medication encounter (in-clinic, weekend/holiday take-home, take-home, missed dose, discontinued) based on OTP clinic; cohort (pre vs. post-COVID-19); and patient substance use, clinical and sociodemographic characteristics. FINDINGS/RESULTS:Following COVID-19 regulatory changes, allotted methadone take-home doses increased from 3.5% to 13.8% of total person-days in treatment within the first 6 months in care. Clinic site accounted for the greatest variation in methadone dispensing (6.2% and 9.5% of the variation of discrepancy between sequences pre- and post-COVID-19, respectively). People who co-use methamphetamine had a greater increase in take-homes than people who did not use methamphetamine (from 3.7% pre-pandemic to 21.2% post-pandemic vs. 3.5% to 12.5%) and higher discontinuation (average 3.6 vs. 4.7 months among people who did not use methamphetamine pre-COVID-19; average 3.3 vs. 4.6 months post-COVID-19). In the post-COVID-19 cohort, females had a higher proportion of missed doses (17.2% vs. 11.9%) than males. People experiencing houselessness had a higher proportion of missed doses (19% vs. 12.3%) and shorter stays (average 3.5 vs. 4.5 months) when compared with those with stable housing. CONCLUSION/CONCLUSIONS:Daily methadone dispensing trajectories in the US both before and following COVID-19 regulatory changes appeared to depend more on the opioid treatment programs' practices than individual patient characteristics or response to treatment.

BACKGROUND AND AIMS/OBJECTIVE:The opioid crisis continues to exert a tremendous toll in North America, with existing interventions often falling short of addressing ongoing needs. Psychedelics are emerging as a possible alternative therapy for mental health and substance use disorders. This study aimed to gather insights on how people use or are considering using psychedelics to manage opioid use disorder (OUD), how these experiences are perceived to impact opioid use and what these lessons imply for future research and practice. METHODS:We conducted a qualitative study using the Reddit online community platform. We extracted posts that contained key psychedelic terms from the two most subscribed-to subreddits dedicated to discussions of OUD treatment (r/OpiatesRecovery and r/Methadone) from 2018 to 2021. We thematically analyzed content from 151 relevant posts and their respective comments. RESULTS:Two prominent themes identified in discussions were perspectives on the effectiveness of psychedelics in treating OUD, and mechanisms through which psychedelics were thought to impact use and desire to use opioids. For many, psychedelics were deemed to have a strong impact on opioid use via multiple mechanisms, including alleviating physical symptoms of dependence, shifting motivations around desire to use opioids and addressing underlying mental health problems and reasons for use. Others saw the potential promise around psychedelics as exaggerated, acknowledging many people eventually return to use, or even considered psychedelics dangerous. CONCLUSIONS:There appear to be diverse perspectives on the effects of using psychedelics to treat opioid use disorder and an urgent need for controlled studies to better understand the impact of different psychedelics on opioid use, how they may be used in the context of existing treatments and what strategies they must be combined with to ensure safety and effectiveness. Integrating the experiences of people who use drugs will help guide psychedelics research toward effective person-centered interventions to enhance health and wellness.

BACKGROUND:Medicaid expansion via the Affordable Care Act, more recent legislation and Medicaid 1115 waivers offer opportunity to increase health care access among individuals involved in the carceral system. Effective enrollment of new beneficiaries and temporary suspension and reactivation of existing Medicaid benefits upon release is key to the success of these efforts. This study aims to characterize how jails, prisons and Medicaid agencies are implementing Medicaid suspension and enrollment programs and identifies barriers and facilitators to implementation. METHODS:We conducted 19 semi-structured interviews with 36 multi-state leaders in carceral facilities, Medicaid agencies, local health departments and national policy experts from 2020 to 2021. Interviews covered 4 domains: (1) the role of policy in influencing carceral and reentry Medicaid practices, (2) implementation strategies to suspend and enroll incarcerated individuals into Medicaid, (3) barriers and facilitators to successful implementation, and (4) variation in implementation between jails and prisons. RESULTS:Participants identified logistical challenges with suspension and enrollment, including limited infrastructure for data sharing between carceral facilities and Medicaid agencies, burdensome bureaucratic requirements, and challenges with Medicaid renewal, particularly in the jail environment. They offered opportunities to overcome barriers, such as the creation of specialized incarcerated Medicaid benefit categories and provision of in-reach services via managed care organizations. Participants also called for improvements to Medicaid reactivation processes, as even when facilities successfully suspended benefits, individuals faced significant challenges and delays reactivating benefits upon release. Participants also called for further loosening of the Medicaid Inmate Exclusion Policy. DISCUSSION/CONCLUSIONS:Findings highlight the need to update data sharing infrastructure, which will be critical to the implementation of the 1115 waivers, as carceral facilities will be subject to Medicaid billing and reporting requirements. In addition to investing in the ability to newly enroll and suspend Medicaid benefits, attention towards improving timely reactivation practices is needed, particularly given the highly elevated risk of mortality immediately after release. Participants calls for further reforms to the Medicaid Inmate Exclusion Policy are consistent with proposed legislation. CONCLUSIONS:Findings can critically inform the successful implementation of Medicaid-based reforms to improve the health of incarcerated and formerly incarcerated people.

BACKGROUND:Individuals with opioid use disorder have high rates of hospital admissions, which represent a critical opportunity to engage patients and initiate medications for opioid use disorder (MOUD). However, few patients receive MOUD and, even if MOUD is initiated in the hospital, patients may encounter barriers to continuing MOUD in the community. OBJECTIVE:Describe hospital providers' experiences and perspectives to inform initiatives and policies that support hospital-based MOUD initiation and continuation in community treatment programs. DESIGN/METHODS:As part of a broader implementation study focused on inpatient MOUD (NCT#04921787), we conducted semi-structured interviews with hospital providers. PARTICIPANTS/METHODS:Fifty-seven hospital providers from 12 community hospitals. APPROACH/METHODS:Thematic analysis examined an emergent topic on challenges transitioning patients to outpatient MOUD treatment and related impacts on MOUD initiation by inpatient providers. KEY RESULTS/RESULTS:Participants described structural barriers to transitioning hospitalized patients to continuing outpatient MOUD including (a) limited outpatient buprenorphine prescriber availability, (b) the siloed nature of addiction treatment, and (c) long wait times. As a result of observing these structural barriers, participants experienced a sense of futility that deterred them from initiating MOUD. Participants proposed strategies that could better support these patient transitions, including developing partnerships between hospitals and outpatient addiction treatment and supporting in-reach services from community providers. CONCLUSIONS:We identified concerns about inadequate and inaccessible community-based care and transition pathways that discouraged hospital providers from prescribing MOUD. As hospital-based opioid treatment models continue to expand, programmatic and policy strategies to support inpatient transitions to outpatient addiction treatment are needed. NCT TRIAL NUMBER/UNASSIGNED:04921787.

BACKGROUND AND AIMS/OBJECTIVE:Extended-release naltrexone (XR-NTX) and sublingual buprenorphine (SL-BUP) are both approved for opioid use disorder (OUD) treatment in any medical setting. We aimed to compare the real-world effectiveness of XR-NTX and SL-BUP. DESIGN AND SETTING/METHODS:This was an observational active comparator, new user cohort study of Medicaid claims records for patients in New Jersey and California, USA, 2016-19. PARTICIPANTS/CASES/METHODS:The participants were adult Medicaid patients aged 18-64 years who initiated XR-NTX or SL-BUP for maintenance treatment of OUD and did not use medications for OUD in the 90 days before initiation. Our cohort included 1755 XR-NTX and 9886 SL-BUP patients. MEASUREMENTS/METHODS:We examined two outcomes up to 180 days after medication initiation: (1) composite of medication discontinuation and death and (2) composite of overdose and death. FINDINGS/RESULTS:In adjusted analyses, treatment with XR-NTX was more likely to result in discontinuation or death by the end of follow-up than treatment with SL-BUP: cumulative risk 75.9% [95% confidence interval (CI) = 73.9%, 77.9%] versus 62.2% (95% CI = 61.2%, 63.2%), respectively (risk difference = 13.7 percentage points, 95% CI = 11.4, 16.0). There was minimal difference in the cumulative risk of overdose or death by the end of follow-up: XR-NTX 3.9% (95% CI = 3.0%, 4.8%) versus SL-BUP 3.3% (95% CI = 2.9%, 3.7%); risk difference = 0.5 percentage points, 95% CI = -0.4, 1.5. Results were consistent across sensitivity analyses. CONCLUSIONS:Medicaid patients in California and New Jersey, USA, receiving treatment for opioid use disorder stayed in treatment longer on sublingual buprenorphine than on extended-release naltrexone, but the risk of overdose was similar. Most patients in this study discontinued medication within 6 months, regardless of which medication was initiated.

BACKGROUND:Despite proliferation of acute-care interventions to initiate medications for opioid use disorder (MOUD), significant challenges remain to supporting care continuity following discharge. Research is needed to inform effective hospital strategies to support patient transitions to ongoing MOUD in the community. OBJECTIVE:To inform a taxonomy of care transition strategies to support MOUD continuity from hospital to community-based settings and assess their perceived impact and feasibility among experts in the field. DESIGN/METHODS:A modified Delphi consensus process through three rounds of electronic surveys. PARTICIPANTS/METHODS:Experts in hospital-based opioid use disorder (OUD) treatment, care transitions, and hospital-based addiction treatment. MAIN MEASURES/METHODS:Delphi participants rated the impact and feasibility of 14 OUD care transition strategies derived from a review of the scientific literature on a scale from 1 to 9 over three survey rounds. Panelists were invited to suggest additional care transition strategies. Agreement level was calculated based on proportion of ratings within three points of the median. KEY RESULTS/RESULTS:Forty-five of 71 invited panelists participated in the survey. Agreement on impact was strong for 12 items and moderate for 10. Agreement on feasibility was strong for 11 items, moderate for 7, and poor for 4. Strategies with highest ratings on impact and feasibility included initiation of MOUD in-hospital and provision of buprenorphine prescriptions or medications before discharge. All original 14 strategies and 8 additional strategies proposed by panelists were considered medium- or high-impact and were incorporated into a final taxonomy of 22 OUD care transition strategies. CONCLUSIONS:Our study established expert consensus on impactful and feasible hospital strategies to support OUD care transitions from the hospital to community-based MOUD treatment, an area with little empirical research thus far. It is the hope that this taxonomy serves as a stepping-stone for future evaluations and clinical practice implementation toward improved MOUD continuity and health outcomes.

BACKGROUND:Most patients in specialty drug treatment programs that are not federally licensed Opioid Treatment Programs (OTPs) programs do not receive medications for opioid use disorder (MOUD). METHODS:We linked results from a survey of non-OTP treatment program directors in New Jersey (n = 81) to statewide administrative records of admissions for opioid use to those programs between July 2021-June 2022. Using multi-level regression, we examined the association of three types of factors with planned MOUD use: program survey responses, client-level factors, and program-level client characteristic mix. RESULTS:Of 9583 opioid treatment admissions in non-OTP settings, 41 % included treatment plans involving MOUD. Programs where directors reported staff concerns about buprenorphine's efficacy or diversion had a lower proportion of clients with planned MOUD, as did programs reporting too little physical space to prescribe. Being self-referred to treatment, unemployed and not looking for work, aged 30-49, heroin use (vs. prescription opioid use), and stimulant use in addition to opioids, were positively associated with planned MOUD; while non-Medicaid insurance, and Black and Hispanic race/ethnicity, were negatively associated with planned MOUD. Clients were more likely to have planned MOUD if their programs had a higher proportion of clients aged 30 or older, heroin as primary "drug of abuse," stimulant use, and not working but actively looking for work. CONCLUSION/CONCLUSIONS:Findings suggest addressing program staff attitudes toward buprenorphine could help increase planned MOUD. There is also a need to improve access for clients with non-Medicaid insurance, address within-program race and ethnic disparities, and address employment-related barriers to medication.

INTRODUCTION/BACKGROUND:Methadone and buprenorphine are effective treatment for opioid use disorder (OUD), yet they are vastly under-utilized across US hospitals. To inform a national trial assessing the effectiveness of implementation strategies to increase adoption of an inpatient hospital-based opioid treatment (HBOT) model (NCT04921787), we explored barriers and facilitators to expanding medication for opioid use disorder (MOUD) within community hospitals across the United States. METHODS:From November 2021 to March 2022, we used purposeful and snowball sampling to identify and interview participants involved in inpatient care of patients with OUD from twelve community hospitals. We conducted semi-structured interviews on providers' experiences and perspectives on current treatment approaches as well as potential influences on MOUD expansion in their hospitals. We used thematic analysis to identify key barriers and facilitators that could impact implementation of an HBOT model, and organized these findings based on the Consolidated Framework for Implementation Research (CFIR). RESULTS:From qualitative interviews with 57 participants (30 physicians, 7 pharmacists, 6 nurses, and 14 professionals involved in the care of patients with OUD), we identified key barriers and facilitators mapped to CFIR's internal and outer settings. The most salient inner setting domains included tension for change and relative priority, compatibility, available resources, organizational culture, access to knowledge and information, relational connections and communications, and information technology infrastructure. Outer setting domains included policies and laws, financing, and partnerships and connections. CONCLUSIONS:Identifying potential barriers and facilitators can inform hospital-specific strategies to support implementation of HBOT. Implementation strategies that address barriers such as staff availability, knowledge, and attitudes may support increased HBOT adoption. On a broader scale, national policy changes such as increased financing and public reporting of quality metrics would address other barriers we identified and may also encourage hospitals to adopt HBOT models.