Injectable naltrexone, oral naltrexone, and buprenorphine utilization and discontinuation among individuals treated for opioid use disorder in a United States commercially insured population

A comparative study of the efficacy of venlafaxine and naltrexone for relapse prevention in patients with opioid use disorder attributed to tramadol

Tramadol and venlafaxine share similar pharmacological characteristics that may allow for overlapping therapeutic indications for them. The objective of this study was to compare the efficacy of venlafaxine and naltrexone in the treatment of tramadol abuse. This comparative trial included 95 patients with tramadol abuse who were detoxified for 2 weeks. Twenty-eight participants underwent the maintenance phase, while the remaining participants (n = 67) dropped out. The patients were randomized to use 50 mg/day of naltrexone or 225 mg/day of venlafaxine for 8 weeks. All participants were interviewed using SCID-I (DSM-IV-TR) criteria for diagnosing substance use and other psychiatric disorders. The proportion of relapsed patients was comparable between the naltrexone and venlafaxine groups (29.4% vs. 30.4%, P  = 0.9). However, participants in the venlafaxine group stayed in treatment longer than participants in the naltrexone group, and the difference was significant (22.9 ± 7.89 days vs. 16.9 ± 3.4 days, P = 0.01). Only psychiatric comorbidity was found to be significantly associated with retention in treatment (80% vs. 22%, P  = 0.005). Venlafaxine is as effective as naltrexone in preventing relapse in patients with tramadol abuse. Venlafaxine was more effective than naltrexone in treatment retention.

Substance use as subtext to health narratives: Identifying opportunities for improving care from community member perspectives

OBJECTIVE

To analyze patient and caregiver narratives addressing experiences related to substance use and substance use disorder (SUD).

METHODS

Thirty audio-narratives from the MyPaTH Story Booth archive addressed substance use between 5/20/2016 and 2/24/21. Two coders established an average Cohen's kappa statistics of 0.81 over 16 stories. The primary coder coded and summarized additional narratives and conducted content and thematic analyses. The final analytic sample addressed perspectives of individuals with SUD, caregivers for individuals with SUD and individuals who have used opioids to manage pain.

RESULTS

Storytellers' average age was 51, 55 % were female and 85 % were white. Participants with SUD and caregivers described frustration with the current treatment system, reported limited treatment of SUD in medical settings, and noted relying on community-based groups for ongoing care. Individuals with chronic pain felt stigmatized and resented perceived restrictions on pain treatment due to the opioid epidemic.

CONCLUSIONS

Unstructured narratives provide insights into the lived experiences of people impacted by SUD. Participants reported struggling with the effects of SUD and failing to find adequate treatment from the medical system. Stories highlight SUD-related stigma.

PRACTICE IMPLICATIONS

Understanding patient and caregiver perspectives related to SUD can be a critical step towards developing effective interventions.

Buprenorphine treatment and clinical outcomes under the opioid use disorder cascade of care

BACKGROUND

Challenges to engagement and retention on buprenorphine undermine treatment of individuals with opioid use disorder (OUD). Under the OUD Cascade of Care framework, we sought to identify patient characteristics and treatment response associated with superior clinical outcomes.

METHODS

A retrospective cohort study of specialty buprenorphine treatment patients entering treatment (n=19,487) based on EHR records from a large multi-state buprenorphine treatment network (2011-2019). Person-level care episodes were evaluated across treatment intake, engagement (i.e. 2+ visits in the month following intake), and retention at 6, 12, and 24 months. Time to achieving 90 days of continuous opioid abstinence was assessed using Cox proportional hazards regressions models and also assessed as a predictor of long-term retention.

RESULTS

Most patients engaged (82.4 %), but retention steadily declined over 6-month (38.7 %), 12-month (26.2 %), and 24-month (17.1 %) timepoints. Opioid-positive baseline tests were associated with lower hazards of achieving continuous abstinence for both buprenorphine-positive (aHR=0.33, p<.001) and buprenorphine-negative (aHR=0.49,p<.001) intakes. Opioid abstinence was associated with buprenorphine-positive baseline testing (aHR=1.59,p<.001), especially for those testing opioid-negative (aHR=1.82,p<.001). Patients who achieved and sustained abstinence at 6 months in care were 4.1 and 5.5 times as likely to achieve 12-month and 24-month retention, respectively, compared to patients with intermittent opioid use.

CONCLUSION

Treatment discontinuation was concentrated early in care and buprenorphine and opioid status at intake were prognostic of achieving and sustaining abstinence. Early abstinence was associated with higher likelihood of subsequent stage progression. Implementing interventions to support early clinical stability for high-risk patients is critical to improve clinical outcomes.

Receipt of medications for opioid use disorder before and after incarceration in Massachusetts State prisons, 2014-2019

BACKGROUND

Little is known about how use patterns of medications for opioid use disorder (MOUDs) evolve from pre-incarceration to post-incarceration among incarcerated individuals with opioid use disorder. This article describes pre- and post-incarceration MOUD receipt during a period when naltrexone was the only type of MOUD offered in a state prison system, the Massachusetts Department of Correction (MADOC).

METHODS

A retrospective cohort study of individuals with opioid use disorder who had an incarceration episode in MADOC during January 2015 to March 2019. The data source was the Massachusetts Public Health Data Warehouse, a multi-sector data platform that links individual-level data from multiple statewide datasets. We described patterns of MOUD receipt during the four weeks prior to and after an incarceration episode. Multivariable logistic regression models characterized predictors of post-incarceration MOUD receipt.

RESULTS

In the male sample (n=691 incarcerations), from the pre- to post-incarceration periods, receipt of buprenorphine increased (14.3 % to 18.3 %), naltrexone increased (5.0 % to 10.5 %), and methadone decreased (4.7 % to 1.7 %). Similarly, in the female sample (n=892 incarcerations), from the pre- to post-incarceration periods, receipt of buprenorphine increased (10.3 % to 12.3 %, naltrexone increased (4.5 % to 9.3 %), and methadone decreased (5.0 % to 2.9 %). Much of the post-release naltrexone receipt occurred among participants in MADOC's pre-release naltrexone program.

CONCLUSIONS

MOUD receipt was low but increased slightly in the post-incarceration period. This change was driven by increases in buprenorphine and naltrexone and despite decreases in methadone.

Simulating the effects of medicaid expansion on the opioid epidemic in North Carolina

Expanding Medicaid plays a large role in ensuring that people across the United States have access to health care services. Although North Carolina recently moved toward Medicaid expansion, the impact of expansion on overdoses and overdose mortality may vary based on the type of treatment (offering medications for opioid use disorder [MOUD] vs. offering inpatient medically managed withdrawal without linkage to further MOUD treatment or non-MOUD-based treatment) accessed by individuals newly eligible for treatment through expansion. Based on official North Carolina statistics and published peer-reviewed literature, we developed a simulation model that forecasts opioid overdose and mortality under different scenarios for type of treatment accessed (MOUD-based vs. non-MOUD-based) and Medicaid coverage levels. An optimistic scenario assuming 70 % of individuals newly eligible for treatment would enter treatment during the first year of expansion estimated that 332 (Simulation Interval: 246-412) overdose deaths would be averted. A scenario more in line with recent historical trends assuming 38 % of individuals newly eligible for treatment would enter treatment resulted in 213 (Simulation Interval: 157-263) averted overdose deaths. In all scenarios, MOUD-based treatment approaches increased the number of lives saved compared with approaches expanding opioid treatment through non-MOUD-based treatment. Our study emphasized the need to ensure access to MOUD-based treatment for individuals newly covered by the Medicaid expansion.

Evolution of the substance use landscape: Implications for contingency management

Contingency management (CM), which involves the delivery of incentives upon meeting behavioral goals, has the potential to improve substance use treatment outcomes. The intervention allows for flexibility through numerous modifiable components including changes to incentive magnitude and schedule, target behavior, and intervention structure. Unfortunately, numerous changes in the substance use landscape have occurred in the past 10 to 15 years: Substances are more potent, overdose risk has increased, new substances and methods of use have been introduced, and substance classes are increasingly being intentionally and unintentionally mixed. These developments potentially undermine CM outcomes. We explored recent substance use changes due to legislative, regulatory, social, and economic factors for four substance classes: stimulants, opioids, tobacco, and cannabis. We discuss potential adjustments to the modifiable components of CM for future research in response to these changes. By continually adapting to the shifting substance use landscape, CM can maintain optimal efficacy.

Comparative effectiveness of extended-release naltrexone and sublingual buprenorphine for treatment of opioid use disorder among Medicaid patients

BACKGROUND AND AIMS

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

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

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

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

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.

Wiidookaage'win: Beta-test of a Facebook group intervention for Native women to support opioid use recovery

INTRODUCTION

The ongoing opioid misuse epidemic has had a marked impact on American Indian/Alaska Native (AI/AN) communities. Culture- and gender-specific barriers to medically assisted recovery from opioid use disorder (OUD) have been identified, exacerbating its impact for AI/AN women. Wiidookaage'win is a community-based participatory research study that aims to develop a culturally tailored, moderated, private Facebook group intervention to support Minnesotan AI/AN women in medically assisted recovery from OUD. The current study assessed the preliminary feasibility and acceptability of the intervention in a beta-test to inform refinements before conducting a pilot randomized controlled trial (RCT).

METHODS

The intervention was beta-tested for 30 days. Moderators were trained prior to delivering the intervention. Study assessments were conducted at baseline and post-intervention. The post-intervention assessments included substance use (self-report and urine drug screen), treatment acceptability, mental health, and spirituality outcomes. We examined intervention engagement patterns using Facebook metrics and qualitatively explored common topics that emerged in participant posts and comments.

RESULTS

Ten AI/AN women taking medication for OUD (MOUD) were accrued (age range 25-62 years). Participants had been in opioid recovery a mean of 15.2 months (SD = 16.1; range = 3-60). The study participation rate (accrued/eligible) was 91 %. Nine participants completed the post-intervention survey assessment and eight completed a UDS. Acceptability was high based on the mean treatment satisfaction score (M = 4.8, SD = 0.2 out of a possible 5.0), Facebook group engagement, and positive qualitative feedback. All participants retained at post-intervention continued their MOUD treatment, and none had returned to opioid use.

CONCLUSIONS

The beta-test indicated that the Facebook platform and study procedures generally worked as intended and that the intervention was largely acceptable to study participants. The results of this study phase provided valuable insights to inform refinements prior to conducting a pilot RCT to further assess the feasibility, acceptability, and potential efficacy of the intervention.

Evaluating preferences for medication formulation and treatment model among people who use opioids non-medically: A web-based cross-sectional study

INTRODUCTION

Over the past decade, treatment for opioid use disorder has expanded to include long-acting injectable and implantable formulations of medication for opioid use disorder (MOUD), and integrated treatment models systematically addressing both behavioral and physical health. Patient preference for these treatment options has been underexplored. Gathering data on OUD treatment preferences is critical to guide the development of patient-centered treatment for OUD. This cross-sectional study assessed preferences for long-acting MOUD and integrated treatment using an online survey.

METHODS

An online Qualtrics survey assessed preferences for MOUD formulation and integrated treatment models. The study recruited participants (n = 851) in October and November 2019 through advertisements or posts on Facebook, Google AdWords, Reddit, and Amazon Mechanical Turk (mTurk). Eligible participants scored a two or higher on the opioid pain reliever or heroin scales of the Tobacco, Alcohol Prescription Medication and other Substance Use (TAPS) Tool. Structured survey items obtained patient preference for MOUD formulation and treatment model. Using stated preference methods, the study assessed preference via comparison of preferred options for MOUD and treatment model.

RESULTS

In the past year, 824 (96.8 %) participants reported non-prescribed use of opioid pain relievers (mean TAPS score = 2.72, SD = 0.46) and 552 (64.9 %) reported heroin or fentanyl use (mean TAPS score = 2.73, SD = 0.51). Seventy-four percent of participants (n = 631) reported currently or previously receiving OUD treatment, with 407 (48.4 %) receiving MOUD. When asked about preferences for type of MOUD formulation, 452 (53.1 %) preferred a daily oral formulation, 115 (13.5 %) preferred an implant, 114 (13.4 %) preferred a monthly injection and 95 (11.2 %) preferred a weekly injection. Approximately 8.8 % (n = 75) would not consider MOUD regardless of formulation. The majority of participants (65.2 %, n = 555) preferred receiving treatment in a specialized substance use treatment program distinct from their medical care, compared with receiving care in an integrated model (n = 296, 34.8 %).

CONCLUSIONS

Though most participants expressed willingness to try long-acting MOUD formulations, the majority preferred short-acting formulations. Likewise, the majority preferred non-integrated treatment in specialty substance use settings. Reasons for these preferences provide insight on developing effective educational tools for patients and suggesting targets for intervention to develop a more acceptable treatment system.

Reduction in substance use stigma following a peer-recovery specialist behavioral activation intervention

BACKGROUND

Patients' perceptions and experiences of stigma related to substance use and methadone treatment are barriers to successful treatment of opioid use disorder, particularly among low-income and medically underserved populations. Interventions led by peer recovery specialists (PRSs) may shift stigma-related barriers. This study sought to evaluate shifts in substance use and methadone treatment stigma in the context of an evidence-based behavioral intervention adapted for PRS delivery to support methadone treatment outcomes.

METHODS

We recruited patients who had recently started methadone treatment or demonstrated difficulty with adherence from a community-based program (N = 37) for an open-label pilot study of a 12-session behavioral activation intervention led by a PRS interventionist. Participants completed substance use and methadone treatment stigma assessments and the SIP-R, a brief measure of problems related to substance use, at baseline, mid-point (approximately six weeks), and post-treatment (approximately 12 weeks). Generalized estimating equations assessed change in total stigma scores between baseline and post-treatment as well as change in stigma scores associated with change in SIP-R responses.

RESULTS

There was a statistically significant decrease in substance use stigma (b(SE)=-0.0304 (0.0149); p = 0.042) from baseline to post-treatment, but not methadone treatment stigma (b(SE)=-0.00531 (0.0131); p = 0.68). Decreases in both substance use stigma (b(SE)=0.5564 (0.0842); p < 0.001) and methadone treatment stigma (b(SE)=0.3744 (0.1098); p < 0.001) were associated with a decrease in SIP-R scores.

CONCLUSIONS

PRS-led interventions have potential to shift substance use stigma, which may be associated with decrease in problems related to substance use, and therefore merit further testing in the context of randomized controlled trials.

Ecological momentary assessment and cue-elicited drug craving as primary endpoints: study protocol for a randomized, double-blind, placebo-controlled clinical trial testing the efficacy of a GLP-1 receptor agonist in opioid use disorder

BACKGROUND

Despite continuing advancements in treatments for opioid use disorder (OUD), continued high rates of relapse indicate the need for more effective approaches, including novel pharmacological interventions. Glucagon-like peptide 1 receptor agonists (GLP-1RA) provide a promising avenue as a non-opioid medication for the treatment of OUD. Whereas GLP-1RAs have shown promise as a treatment for alcohol and nicotine use disorders, to date, no controlled clinical trials have been conducted to determine if a GLP-1RA can reduce craving in individuals with OUD. The purpose of the current protocol was to evaluate the potential for a GLP-1RA, liraglutide, to safely and effectively reduce craving in an OUD population in residential treatment.

METHOD

This preliminary study was a randomized, double-blinded, placebo-controlled clinical trial designed to test the safety and efficacy of the GLP-1RA, liraglutide, in 40 participants in residential treatment for OUD. Along with taking a range of safety measures, efficacy for cue-induced craving was evaluated prior to (Day 1) and following (Day 19) treatment using a Visual Analogue Scale (VAS) in response to a cue reactivity task during functional near-infrared spectroscopy (fNIRS) and for craving. Efficacy of treatment for ambient craving was assessed using Ecological Momentary Assessment (EMA) prior to (Study Day 1), across (Study Days 2-19), and following (Study Days 20-21) residential treatment.

DISCUSSION

This manuscript describes a protocol to collect clinical data on the safety and efficacy of a GLP-1RA, liraglutide, during residential treatment of persons with OUD, laying the groundwork for further evaluation in a larger, outpatient OUD population. Improved understanding of innovative, non-opioid based treatments for OUD will have the potential to inform community-based interventions and health policy, assist physicians and health care professionals in the treatment of persons with OUD, and to support individuals with OUD in their effort to live a healthy life.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT04199728. Registered 16 December 2019, https://clinicaltrials.gov/study/NCT04199728?term=NCT04199728 .

PROTOCOL VERSION

10 May 2023.

An explainable machine learning framework for predicting the risk of buprenorphine treatment discontinuation for opioid use disorder among commercially insured individuals

OBJECTIVES

Buprenorphine is an effective evidence-based medication for opioid use disorder (OUD). Yet premature discontinuation undermines treatment effectiveness, increasing the risk of mortality and overdose. We developed and evaluated a machine learning (ML) framework for predicting buprenorphine care discontinuity within 12 months following treatment initiation.

METHODS

This retrospective study used United States (US) 2018-2021 MarketScan commercial claims data of insured individuals aged 18-64 who initiated buprenorphine between July 2018 and December 2020 with no buprenorphine prescriptions in the previous six months. We measured buprenorphine prescription discontinuation gaps of ≥30 days within 12 months of initiating treatment. We developed predictive models employing logistic regression, decision tree classifier, random forest, extreme gradient boosting, Adaboost, and random forest-extreme gradient boosting ensemble. We applied recursive feature elimination with cross-validation to reduce dimensionality and identify the most predictive features while maintaining model robustness. For model validation, we used several statistics to evaluate performance, such as C-statistics and precision-recall curves. We focused on two distinct treatment stages: at the time of treatment initiation and one and three months after treatment initiation. We employed SHapley Additive exPlanations (SHAP) analysis that helped us explain the contributions of different features in predicting buprenorphine discontinuation. We stratified patients into risk subgroups based on their predicted likelihood of treatment discontinuation, dividing them into decile subgroups. Additionally, we used a calibration plot to analyze the reliability of the models.

RESULTS

A total of 30,373 patients initiated buprenorphine and 14.98% (4551) discontinued treatment. C-statistic varied between 0.56 and 0.76 for the first-stage models including patient-level demographic and clinical variables. Inclusion of proportion of days covered (PDC) measured after one month and three months following treatment initiation significantly increased the models' discriminative power (C-statistics: 0.60 to 0.82). Random forest (C-statistics: 0.76, 0.79 and 0.82 with baseline predictors, one-month PDC and three-months PDC, respectively) outperformed other ML models in discriminative performance in all stages (C-statistics: 0.56 to 0.77). Most influential risk factors of discontinuation included early stage medication adherence, age, and initial days of supply.

CONCLUSION

ML algorithms demonstrated a good discriminative power in identifying patients at higher risk of buprenorphine care discontinuity. The proposed framework may help healthcare providers optimize treatment strategies and deliver targeted interventions to improve buprenorphine care continuity.

Caregivers' Attitudes Toward Treatment Length for Persons in Swedish Opioid Agonist Treatment. A Qualitative Interview Study

Although opioid agonist treatment (OAT) has several beneficial effects, the issue of optimal treatment length remains unresolved. It is plausible that caregivers' attitudes toward treatment length are of importance to whether, how and when tapering off will take place. In this study, we investigated caregivers' attitudes toward treatment length by interviewing 15 caregivers from a variety of professions working in seven OAT treatment programs in Sweden. Data were analyzed using applied thematic analysis. The participants were generally hesitant concerning the idea of tapering off. Few of them had experiences of patients tapering off successfully. Many of them never brought up the subject unless the patient did so her-/himself. Only younger, socially stable patients were perceived to be suitable for tapering off. Participants also expressed a need among staff for education and ethical discussions on treatment length. A person-centered focus may be promoted by recurrently discussing treatment goals and by co-operating with patients to map the recovery capital of those interested in tapering. To further support caregivers in developing person-centered care, more knowledge of opioid use disorder and professional and interprofessional discussions of caregivers' own attitudes and beliefs are paramount.

Characterizing the Association Between Traumatic Brain Injury and Discontinuation of Medications for Opioid Use Disorder in a Commercially Insured Adult Population

OBJECTIVE

Extending prior research that has found that people with traumatic brain injury (TBI) experience worse substance use treatment outcomes, we examined whether history of TBI was associated with discontinuation of medication to treat opioid use disorder (MOUD), an indicator of receiving evidence-based treatment.

SETTING

We used MarketScan claims data to capture inpatient, outpatient, and retail pharmacy utilization from large employers in all 50 states from 2016 to 2019.

PARTICIPANTS

We identified adults aged 18 to 64 initiating non-methadone MOUD (ie, buprenorphine, injectable naltrexone, and oral naltrexone) in 2016-2019. The exposure was whether an individual had a TBI diagnosis in the 2 years before initiating MOUD. During this period, there were 709 individuals with TBI who were then matched with 709 individuals without TBI.

DESIGN

We created a retrospective cohort of matched individuals with and without TBI and used quasi-experimental methods to identify the association between TBI status and MOUD use. We estimated propensity scores by TBI status and created a 1:1 matched cohort of people with and without TBI who initiated MOUD. We used a Cox proportional hazards model to identify the association between TBI and MOUD discontinuation.

MAIN MEASURE

The outcome was discontinuation of MOUD (ie, a gap of 14 days or more of MOUD).

RESULTS

Among those initiating MOUD, the majority were under 26 years of age, male, and living in an urban setting. Nearly 60% of individuals discontinued medication by 6 months. Adults with TBI had an elevated risk of MOUD discontinuation (hazard ratio [HR] 1.13; 95% confidence interval [CI], 1.01-1.27) compared to those without TBI. Additionally, initiating oral naltrexone was associated with a higher risk of discontinuation (HR 1.63; 95% CI, 1.40-1.90).

CONCLUSION

We found evidence of reduced MOUD retention among people with TBI. Differences in MOUD retention may reflect health care inequities, as there are no medical contraindications to using MOUD for people with TBI or other disabilities.

A multilevel analysis of changing telehealth availability in opioid use disorder treatment settings: Conditional effects of rurality, the number and types of medication for opioid use disorder available, and time, US, 2016-2023

PURPOSE

The opioid overdose crisis requires strengthening treatment systems with innovative technologies. How people use telehealth for opioid use disorder (OUD) is evolving and differs in rural versus urban areas, as telehealth is emerging as a local resource and complementary option to in-person treatment. We assessed changing trends in telehealth and medication for OUD (MOUD) and pinpoint locations of low telehealth and MOUD access.

METHODS

We used national data from the Mental health and Addiction Treatment Tracking Repository (2016-2023) to identify specialty outpatient SUD treatment facilities in the United States (N = 83,988). We modeled the availability of telehealth using multilevel multivariable logistic regression, adjusting for covariates. We included a 3-way interaction to test for conditional effects of rurality, the number of MOUD medication types dispensed, and year. We included two random effects to account for clustering within counties and states.

FINDINGS

We identified 495 facilities that offered both telehealth and all three MOUD medication types (methadone, buprenorphine, naltrexone) in 2023, clustered in the eastern United States. We identified a statistically significant 3-way interaction (p < 0.0001), indicating that telehealth in facilities that did not offer MOUD shifted from more telehealth in rural facilities in earlier years to more telehealth in urban facilities in later years.

CONCLUSIONS

Treatment facilities that offer both telehealth and all three MOUD medication types may improve access for hard-to-reach populations. We stress the importance of continued health system strengthening and technological resources in vulnerable rural communities, while acknowledging a changing landscape of increased OUD incidence and MOUD demand in urban communities.

An Approach to Enhancing Medication Treatment for Opioid Use Disorder in the HEALing Communities Study

The HEALing (Helping to End Addiction Long-term) Communities Study (HCS) aims to test the effectiveness of the Communities That HEAL intervention in decreasing opioid overdose deaths in 67 communities across four U.S. states. This intervention enlists a collaborative team of researchers, academic experts, and community coalitions to select and implement interventions from a menu of evidence-based practices, including medications for opioid use disorder (MOUD). The HCS's New York team developed an integrated network systems (INS) approach with a mapping tool to coach coalitions in the selection of strategies to enhance medication treatment. With the INS approach, community coalitions develop a map of service delivery venues in their local county to better engage people with medication treatment wherever this need arises. The map is structured around core services that can provide maintenance MOUD and satellite services, which include all settings where people with opioid use disorder are encountered and can be identified, possibly given medication, and referred to core programs for ongoing MOUD care. This article describes the rationale for the INS mapping tool, with a discussion framed by the consolidated framework for implementation research, and provides a case example of its application.

Cost-effectiveness of full and partial opioid agonists for opioid use disorder in outpatient settings: United States healthcare sector perspective

INTRODUCTION

Studies show that medications for opioid use disorder (MOUD) reduce illicit opioid use, emergency healthcare services, opioid-related overdose, and death. However, few studies have investigated the long-term cost-effectiveness of MOUD in office-based opioid treatment (OBOT) and opioid treatment program (OTP) settings. We aimed to estimate the cost, utility, quality-adjusted life years gained (QALYs), and incremental cost-effectiveness ratios (ICERs) of three MOUD compared to each other and counseling without medication from a US healthcare sector perspective.

METHODS

Our study developed a Markov model to conduct a cost-effectiveness analysis of counseling and three MOUD in the OBOT and OTP settings: sublingual buprenorphine/naloxone (BUPNX), buprenorphine extended-release (XR-BUP) injection, and oral methadone. The model included five health states representing combinations of receiving or off treatment while either using or not actively using illicit opioids, and death. The cycle length was one month; the time-horizon was ten years. The study obtained model inputs from systematic reviews of published literature and public data. A 3 % annual discount rate was applied to cost and utility calculation. The primary outcomes included total costs, life-years (LYs), QALYs, and ICERs. We also conducted a scenario analysis using a hypothetical OBOT outpatient setting with methadone.

RESULTS

In the base-case OBOT setting, the total costs and QALYs, respectively, were counseling $22,848, 5.60; BUPNX $29,875, 5.82; and XR-BUP $63,936, 5.87. ICERs were $32,345/QALY (BUPNX vs. counseling) and $625,858/QALY (XR-BUP vs BUPNX). In the OTP setting, the total costs of counseling, methadone, BUPNX, and XR-BUP were $20,124, $27,000, $33,500, and $75,272, respectively. QALYs of methadone were 5.86. QALYs of counseling, BUPNX, and XR-BUP remained the same as in the OBOT setting. Incremental ICERs were $26,714/QALY (methadone vs counseling) and $3,337,623/QALY (XR-BUP vs methadone). BUPNX was dominated by methadone. In the scenario analysis, BUPNX was also dominated by methadone.

CONCLUSIONS

Outpatient MOUD resulted in important gains in quality of life and life expectancy. In both OBOT and OTP settings, XR-BUP was not cost-effective. BUPNX was cost-effective in the OBOT setting, while it was dominated by methadone in the OTP setting. The cost-effectiveness of BUPNX and XR-BUP could be enhanced if the costs of these medications were reduced.

Association of buprenorphine retention and subsequent adverse outcomes following non-fatal overdose: An analysis using statewide linked Maryland databases

INTRODUCTION

Patients receiving buprenorphine after a non-fatal overdose have lower risk of future nonfatal or fatal overdose, but less is known about the relationship between buprenorphine retention and the risk of adverse outcomes in the post-overdose year.

OBJECTIVE

To examine the relationship between the total number of months with an active buprenorphine prescription (retention) and the odds of an adverse outcome within the 12 months following an index non-fatal overdose.

MATERIALS AND METHODS

We studied a cohort of people with an index non-fatal opioid overdose in Maryland between July 2016 and December 2020 and at least one filled buprenorphine prescription in the 12-month post-overdose observation period. We used individually linked Maryland prescription drug and hospital admissions data. Multivariable logistic regression models were used to examine buprenorphine retention and associated odds of experiencing a second non-fatal overdose, all-cause emergency department visits, and all-cause hospitalizations.

RESULTS

Of 5439 people, 25% (n=1360) experienced a second non-fatal overdose, 78% had an (n=4225) emergency department visit, and 37% (n=2032) were hospitalized. With each additional month of buprenorphine, the odds of experiencing another non-fatal overdose decreased by 4.7%, all-cause emergency department visits by 5.3%, and all-cause hospitalization decreased by 3.9% (p<.0001, respectively). Buprenorphine retention for at least nine months was a critical threshold for reducing overdose risk versus shorter buprenorphine retention.

CONCLUSIONS

Buprenorphine retention following an index non-fatal overdose event significantly decreases the risk of future overdose, emergency department use, and hospitalization even among people already on buprenorphine.

A Nationwide Survey Study of Recovery Community Centers Supporting People in Recovery From Substance Use Disorder

OBJECTIVE

The medical community has become aware of its role in contributing to the opioid epidemic and must be part of its resolution. Recovery community centers (RCCs) represent a new underused component of recovery support.

METHODS

This study performed an online national survey of all RCCs identified in the United States, and used US Census ZIP code tabulation area data to describe the communities they serve.

RESULTS

Residents of areas with RCCs were more likely to be Black (16.5% vs 12.6% nationally, P = 0.005) and less likely to be Asian (4.7% vs 5.7%, P = 0.005), American Indian, or Alaskan Native (0.6% vs 0.8%, P = 0.03), or live rurally (8.5% vs 14.0%, P < 0.0001). More than half of RCCs began operations within the past 5 years. Recovery community centers were operated, on average, by 8.8 paid and 10.2 volunteer staff; each RCC served a median of 125 individuals per month (4-1,500). Recovery community centers successfully engaged racial/ethnic minority groups (20.8% Hispanic, 22.5% Black) and young adults (23.5% younger than 25 years). Recovery community centers provide addiction-specific support (eg, mutual help, recovery coaching) and assistance with basic needs, social services, technology access, and health behaviors. Regarding medications for opioid use disorder (MOUDs), RCC staff engaged members in conversations about MOUDs (85.2%) and provided direct support for taking MOUD (77.0%). One third (36.1%) of RCCs reported seeking closer collaboration with prescribers.

CONCLUSIONS

Recovery community centers are welcoming environments for people who take MOUDs. Closer collaboration between the medical community and community-based peer-led RCCs may lead to significantly improved reach of efforts to end the opioid epidemic.

Simulating the Simultaneous Impact of Medication for Opioid Use Disorder and Naloxone on Opioid Overdose Death in Eight New York Counties

BACKGROUND

The United States is in the midst of an opioid overdose epidemic; 28.3 per 100,000 people died of opioid overdose in 2020. Simulation models can help understand and address this complex, dynamic, and nonlinear social phenomenon. Using the HEALing Communities Study, aimed at reducing opioid overdoses, and an agent-based model, Simulation of Community-Level Overdose Prevention Strategy, we simulated increases in buprenorphine initiation and retention and naloxone distribution aimed at reducing overdose deaths by 40% in New York Counties.

METHODS

Our simulations covered 2020-2022. The eight counties contrasted urban or rural and high and low baseline rates of opioid use disorder treatment. The model calibrated agent characteristics for opioid use and use disorder, treatments and treatment access, and fatal and nonfatal overdose. Modeled interventions included increased buprenorphine initiation and retention, and naloxone distribution. We predicted a decrease in the rate of fatal opioid overdose 1 year after intervention, given various modeled intervention scenarios.

RESULTS

Counties required unique combinations of modeled interventions to achieve a 40% reduction in overdose deaths. Assuming a 200% increase in naloxone from current levels, high baseline treatment counties achieved a 40% reduction in overdose deaths with a simultaneous 150% increase in buprenorphine initiation. In comparison, low baseline treatment counties required 250-300% increases in buprenorphine initiation coupled with 200-1000% increases in naloxone, depending on the county.

CONCLUSIONS

Results demonstrate the need for tailored county-level interventions to increase service utilization and reduce overdose deaths, as the modeled impact of interventions depended on the county's experience with past and current interventions.

Addressing cortex dysregulation in youth through brain health check coaching and prophylactic brain development

The Carter Center has estimated that the addiction crisis in the United States (US), if continues to worsen at the same rate, may cost the country approximately 16 trillion dollars by 2030. In recent years, the well-being of youth has been compromised by not only the coronavirus disease 2019 pandemic but also the alarming global opioid crisis, particularly in the US. Each year, deadly opioid drugs claim hundreds of thousands of lives, contributing to an ever-rising death toll. In addition, maternal usage of opioids and other drugs during pregnancy could compromise the neurodevelopment of children. A high rate of DNA polymorphic antecedents compounds the occurrence of epigenetic insults involving methylation of specific essential genes related to normal brain function. These genetic antecedent insults affect healthy DNA and mRNA transcription, leading to a loss of proteins required for normal brain development and function in youth. Myelination in the frontal cortex, a process known to extend until the late 20s, delays the development of proficient executive function and decision-making abilities. Understanding this delay in brain development, along with the presence of potential high-risk antecedent polymorphic variants or alleles and generational epigenetics, provides a clear rationale for embracing the Brain Research Commission's suggestion to mimic fitness programs with an adaptable brain health check (BHC). Implementing the BHC within the educational systems in the US and other countries could serve as an effective initiative for proactive therapies aimed at reducing juvenile mental health problems and eventually criminal activities, addiction, and other behaviors associated with reward deficiency syndrome.

What is the ideal time to begin tapering opioid agonist treatment? A protocol for a retrospective population-based comparative effectiveness study in British Columbia, Canada

INTRODUCTION

Opioid agonist treatment (OAT) tapering involves a gradual reduction in daily medication dose to ultimately reach a state of opioid abstinence. Due to the high risk of relapse and overdose after tapering, this practice is not recommended by clinical guidelines, however, clients may still request to taper off medication. The ideal time to initiate an OAT taper is not known. However, ethically, taper plans should acknowledge clients' preferences and autonomy but apply principles of shared informed decision-making regarding safety and efficacy. Linked population-level data capturing real-world tapering practices provide a valuable opportunity to improve existing evidence on when to contemplate starting an OAT taper. Our objective is to determine the comparative effectiveness of alternative times from OAT initiation at which a taper can be initiated, with a primary outcome of taper completion, as observed in clinical practice in British Columbia (BC), Canada.

METHODS AND ANALYSIS

We propose a population-level retrospective observational study with a linkage of eight provincial health administrative databases in BC, Canada (01 January 2010 to 17 March 2020). Our primary outcomes include taper completion and all-cause mortality during treatment. We propose a 'per-protocol' target trial to compare different durations to taper initiation on the likelihood of taper completion. A range of sensitivity analyses will be used to assess the heterogeneity and robustness of the results including assessment of effectiveness and safety.

ETHICS AND DISSEMINATION

The protocol, cohort creation and analysis plan have been classified and approved as a quality improvement initiative by Providence Health Care Research Ethics Board and the Simon Fraser University Office of Research Ethics. Results will be disseminated to local advocacy groups and decision-makers, national and international clinical guideline developers, presented at international conferences and published in peer-reviewed journals electronically and in print.

Out-of-pocket spending and health care utilization associated with initiation of different medications for opioid use disorder: Findings from a national commercially insured cohort

INTRODUCTION

Buprenorphine and naltrexone are effective medications for opioid use disorder (MOUD). Naltrexone requires complete detoxification from opioids before initiation while buprenorphine does not, which leads to a differential clinical induction challenge. Few studies have evaluated economic costs associated with MOUD initiation.

METHODS

We conducted a retrospective cohort analysis using the 2014-2019 Merative MarketScan database. We included individuals diagnosed with opioid use, abuse, or dependence from 2014 to 2019 who initiated one of three MOUD types: 1) buprenorphine, 2) extended-release naltrexone, or 3) oral naltrexone. We calculated total and monthly out-of-pocket spending, for overall and MOUD-specific claims, for the three months prior through three months after MOUD initiation. We also calculated utilization of detoxification, inpatient, and outpatient services monthly over this period.

RESULTS

Our cohort included 27,133 individuals; 19,536, 1886, and 5711 initiated buprenorphine, extended-release naltrexone, and oral naltrexone, respectively. Individuals who initiated naltrexone had the highest out-of-pocket spending over the study period. MOUD-specific spending did not contribute substantially to total out-of-pocket spending. Difference in overall spending by MOUD type was driven by a subset of individuals who initiated naltrexone and had very high out-of-pocket spending in the month prior to MOUD initiation. In this month, mean monthly out-of-pocket spending for high-spenders (above 90th percentile within MOUD type category) was $5734 (95 % confidence interval [CI]: $5181-$6286) and $4622 (95 % CI: $4161-$5082) for those who initiated oral and extended-release naltrexone, respectively, compared with $1852 (95 % CI: $1754-$1950) for those who initiated buprenorphine. In the month prior to MOUD initiation, those who initiated naltrexone also had higher detoxification, inpatient, and outpatient episode/visit frequency. In the month prior to initiation, 28.8 % (95 % CI: 27.7 %-30.0 %) and 25.5 % (95 % CI: 23.6 %-27.5 %) of individuals who initiated oral and extended-release naltrexone had detoxification episodes, compared with 9.7 % (95 % CI: 9.3 %-10.1 %) of those who initiated buprenorphine.

CONCLUSION

Findings suggest that individuals who initiated naltrexone utilized more intensive health services, including detoxification, in the period prior to MOUD initiation, resulting in significantly higher out-of-pocket spending. Out-of-pocket spending is a patient-centered outcome reflecting potential patient burden. Our results should be considered as part of the shared decision-making process between patients and providers when choosing treatment for OUD.

Comparative effectiveness of extended release naltrexone and sublingual buprenorphine for treatment of opioid use disorder among Medicaid patients

Aims

To compare the real-world effectiveness of extended release naltrexone (XR-NTX) and sublingual buprenorphine (SL-BUP) for the treatment of opioid use disorder (OUD).

Design

An observational active comparator, new user cohort study.

Setting

Medicaid claims records for patients in New Jersey and California, 2016-2019.

Participants/Cases

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.

Comparators

New initiation with XR-NTX versus SL-BUP for the treatment of OUD.

Measurements

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

Our cohort included 1,755 XR-NTX and 9,886 SL-BUP patients. 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 76% (95% confidence interval [CI] 75%, 78%) versus 62% (95% CI 61%, 63%), respectively (risk difference 14 percentage points, 95% CI 13, 16). There was minimal difference in the cumulative risk of overdose or death by the end of follow-up: XR-NTX 3.8% (95% CI 2.9%, 4.7%) versus SL-BUP 3.3% (95% 2.9%, 3.7%); risk difference 0.5 percentage points, 95%CI -0.5, 1.5. Results were consistent across sensitivity analyses.

Conclusions

Longer medication retention is important because risks of negative outcomes are elevated after discontinuation. Our results support selection of SL-BUP over XR-NTX. However, most patients discontinued medication by 6 months indicating that more effective tools are needed to improve medication retention, particularly after initiation with XR-NTX, and to identify which patients do best on which medication.

Naltrexone Compared With Buprenorphine or Methadone in Pregnancy: A Systematic Review

OBJECTIVE

Although naltrexone is an evidence-based medication for opioid use disorder (MOUD), few data are available with use in pregnancy. Our objective was to assess outcomes of pregnant individuals with opioid use disorder (OUD) taking naltrexone compared with those taking methadone or buprenorphine.

DATA SOURCES

We undertook a systematic review using electronic database search (PubMed, CINAHL, EMBASE, PsycInfo), conference proceedings, and trial registries including ClinicalTrials.gov .

METHODS OF STUDY SELECTION

We conducted an electronic search of research articles through May 2023 for randomized controlled trials, prospective cohort, and retrospective cohort studies of naltrexone (oral, implant, or extended release) compared with methadone or buprenorphine (sublingual or extended release) among pregnant individuals with OUD. After double review of all articles, we abstracted obstetric (primary outcome: gestational age at delivery), neonatal (primary outcome: neonatal abstinence syndrome [NAS]), and substance use outcomes.

TABULATION, INTEGRATION, AND RESULTS

Five studies met eligibility criteria; four were retrospective cohort studies, and one was a prospective cohort study. Four studies included data on gestational age at delivery (weeks) with no difference detected between the two groups in any study (mean difference ranging -0.20, 95% CI, -1.49-1.09 to 0.8, 95% CI, -0.15 to 1.75). Three studies included data on NAS with all studies detecting a lower risk in the naltrexone group compared with methadone or buprenorphine (relative risk ranging from 0.08, 95% CI, 0.01-1.16 to 0.15, 95% CI, 0.06-0.36). Most studies (four of five) had a moderate or high potential for selection bias primarily driven by small sample size and lack of controlling for confounders.

CONCLUSION

Although the evidence base is limited, available data suggest that naltrexone use in pregnancy is a reasonable MOUD option with reassuring perinatal outcomes. To enhance confidence in this conclusion and to assess substance use outcomes, further comparative studies of pregnant people with OUD taking naltrexone and other MOUD types are needed.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO, 42017074249.

Use of in-network insurance benefits is critical for improving retention in telehealth-based buprenorphine treatment

An empiric evidence base is lacking regarding the relationship between insurance status, payment source, and outcomes among patients with opioid use disorder (OUD) on telehealth platforms. Such information gaps may lead to unintended impacts of policy changes. Following the phase-out of the COVID-19 Public Health Emergency, states were allowed to redetermine Medicaid eligibility and disenroll individuals. Yet, financial barriers remain a common and significant hurdle for patients with OUD and are associated with worse outcomes. We studied 3842 patients entering care in 2022 at Ophelia Health, one of the nation's largest OUD telehealth companies, to assess associations between insurance status and 6-month retention. In multivariable analyses, in-network patients who could use insurance benefits were more likely to be retained compared with cash-pay patients (adjusted risk ratio [aRR]: 1.50; 95% CI: 1.40-1.62; P < .001). Among a subsample of 882 patients for whom more detailed insurance data were available (due to phased-in electronic health record updates), in-network patients were also more likely to be retained at 6 months compared with insured, yet out-of-network patients (aRR: 1.86; 95% CI: 1.54-2.23; P < .001). Findings show that insurance status, and specifically the use of in-network benefits, is associated with superior retention and suggest that Medicaid disenrollment and insurance plan hesitation to engage with telehealth providers may undermine the nation's response to the opioid crisis.

Delivering integrated strategies from a mobile unit to address the intertwining epidemics of HIV and addiction in people who inject drugs: the HPTN 094 randomized controlled trial protocol (the INTEGRA Study)

BACKGROUND

Persons with opioid use disorders who inject drugs (PWID) in the United States (US) face multiple and intertwining health risks. These include interference with consistent access, linkage, and retention to health care including medication for opioid use disorder (MOUD), HIV prevention using pre-exposure prophylaxis (PrEP), and testing and treatment for sexually transmitted infections (STIs). Most services, when available, including those that address substance misuse, HIV prevention, and STIs, are often provided in multiple locations that may be difficult to access, which further challenges sustained health for PWID. HPTN 094 (INTEGRA) is a study designed to test the efficacy of an integrated, "whole-person" strategy that provides integrated HIV prevention including antiretroviral therapy (ART), PrEP, MOUD, and STI testing and treatment from a mobile health delivery unit ("mobile unit") with peer navigation compared to peer navigation alone to access these services at brick and mortar locations.

METHODS

HPTN 094 (INTEGRA) is a two-arm, randomized controlled trial in 5 US cities where approximately 400 PWID without HIV are assigned either to an experimental condition that delivers 26 weeks of "one-stop" integrated health services combined with peer navigation and delivered in a mobile unit or to an active control condition using peer navigation only for 26 weeks to the same set of services delivered in community settings. The primary outcomes include being alive and retained in MOUD and PrEP at 26 weeks post-randomization. Secondary outcomes measure the durability of intervention effects at 52 weeks following randomization.

DISCUSSION

This trial responds to a need for evidence on using a "whole-person" strategy for delivering integrated HIV prevention and substance use treatment, while testing the use of a mobile unit that meets out-of-treatment PWID wherever they might be and links them to care systems and/or harm reduction services. Findings will be important in guiding policy for engaging PWID in HIV prevention or care, substance use treatment, and STI testing and treatment by addressing the intertwined epidemics of addiction and HIV among those who have many physical and geographic barriers to access care.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04804072 . Registered on 18 March 2021.

Receipt of opioid use disorder treatments prior to fatal overdoses and comparison to no treatment in Connecticut, 2016-17

OBJECTIVE

To determine the relative risk of death following exposure to treatments for OUD compared to no treatment.

METHODS

In this retrospective cohort study we compiled and merged state agency data on accidental and undetermined opioid overdose deaths in 2017 and exposures to OUD treatment in the prior six months to determine incidence rates following exposure to different treatment modalities. These rates were compared to the estimated incidence among those exposed to no treatment to determine relative risk of death for each treatment exposure.

RESULTS

Incidence rates for opioid poisoning deaths for those exposed to treatment ranged from 6.06±1.40 per 1000 persons exposed to methadone to 17.36±3.22 per 1000 persons exposed to any non-medication treatment. The estimated incidence rate for those not exposed to treatment was 9.80±0.72 per 1000 persons. With no exposure to treatment as referent, exposure to methadone or buprenorphine reduced the relative risk by 38% or 34%, respectively; the relative risk of non-medication treatments was equal to or worse than no exposure to treatment (RR = 1.27-1.77).

PRINCIPAL CONCLUSIONS

Exposure to non-MOUD treatments provided no protection against fatal opioid poisoning whereas the relative risk was reduced following exposures to MOUD treatment, even if treatment was not continued. Population level efforts to reduce opioid overdose deaths need to focus on expanding access to agonist-based MOUD treatments and are unlikely to succeed if access to non-MOUD treatments is made more available.

IUPHAR-review: The integration of classic psychedelics into current substance use disorder treatment models

Substance use disorders (SUDs) have an enormous impact on public health. With classic psychedelic-assisted therapies showing initial promise in treating multiple SUDs, it is possible that these treatments will become legally available options for patients with SUDs in the future. This article highlights how classic psychedelic-assisted therapies might be integrated into current clinical practice. We first describe contemporary evidence-based treatments for SUDs and highlight how classic psychedelic-assisted therapies might fit within each treatment. We suggest that classic psychedelic-assisted therapies can be integrated into most mainstream evidence-based SUD treatments that are currently used in clinical settings, indicating broad compatibility of classic psychedelics with contemporary SUD treatment paradigms.

Improving Medical Student Knowledge and Reducing Stigmatizing Attitudes Toward Treating Patients With Opioid Use Disorder

Objectives

Stigma and lack of knowledge are barriers to clinicians when caring for individuals with opioid use disorder (OUD). In 2018, only about 15 out of 180 American medical schools had comprehensive addiction programs. The AAMC reports that institutions are increasingly incorporating competencies to address the OUD and opioid epidemic. There have been few evaluated curriculums focused on reducing stigmatizing attitudes. This study evaluated whether a 4-hour case-based curriculum focused on improving stigmatizing attitudes toward patients with OUD could reduce medical student perceptions around viewing addiction as a punitive condition and other substitution-based misconceptions around opioid agonist-based medication.

Methods

Medical students completed a 4-hour curricular workshop which included learning objectives focusing on barriers to healthcare/stigmatizing attitudes, effective behavioral therapy options, and appropriate use of opioid medications. We measured changes in knowledge and attitudes using validated scales on stigma. Non-parametric repeated measure tests determined statistically significant differences between pre and post assessments between OUD related perceptions and a control condition (diabetes).

Results

Of 135 eligible participants, 99 (76%) students completed both pre- and post-surveys. Mean scores across knowledge questions improved (60%-81%, P < .001) and stigmatizing attitudes regarding perceived violence of people with OUD decreased (2.04-1.82, P = .016). There was significant improvement in mean scores for OUD-related opinions including desire to work with and effectively treat patients with OUD (3.58-3.88, P < .001) while no significant concurrent change was observed in mean opinion scores of a non-OUD comparator, diabetes (3.88-3.97, P = .201).

Conclusions

Results indicate that the workshop was associated with measurable changes in knowledge and attitudinal forms of OUD stigma. With recent policy changes eliminating the X-waiver, healthcare institutions are eager to design curriculum around OUD management and treatment. This study provides a blueprint for an effective curriculum that improves clinician knowledge and reduces stigmatizing attitudes.

Prescriptions for Buprenorphine in Michigan Following an Education Intervention

Importance

Buprenorphine is an underused treatment for opioid use disorder (OUD) that can be prescribed in general medical settings. Founded in 2017, the Michigan Opioid Collaborative (MOC) is an outreach and educational program that aims to address clinician and community barriers to buprenorphine access; however, the association between the MOC and buprenorphine treatment is unknown.

Objective

To evaluate the association between MOC service use and county-level temporal trends of density of buprenorphine prescribers and patients receiving buprenorphine.

Design, Setting, and Participants

This cohort study exploited staggered implementation of MOC services across all Michigan counties. Difference-in-difference analyses were conducted by applying linear fixed-effects regression across all counties to estimate the overall association of MOC engagement with outcomes and linear regression for each MOC-engaged county separately to infer county-specific results using data from May 2015 to August 2020. Analyses were conducted from September 2021 to November 2023.

Exposures

MOC engagement.

Main Outcomes and Measures

County-level monthly numbers of buprenorphine prescribers and patients receiving buprenorphine (per 100 000 population).

Results

Among 83 total counties, 57 counties (68.7%) in Michigan were engaged by MOC by 2020, with 3 (3.6%) initiating engagement in 2017, 19 (22.9%) in 2018, 27 (32.5%) in 2019, and 8 (9.6%) in 2020. Michigan is made up of 83 counties with a total population size of 9 990 000. A total of 5 070 000 (50.8%) were female, 1 410 000 (14.1%) were African American or Black, 530 000 (5.3%) were Hispanic or Latino, and 7 470 000 (74.7%) were non-Hispanic White. The mean (SD) value of median age across counties was 44.8 (6.4). The monthly increases in buprenorphine prescriber numbers in the preengagement (including all time points for nonengaged counties) and postengagement periods were 0.07 and 0.39 per 100 000 population, respectively, with the absolute difference being 0.33 (95% CI, 0.12-0.53) prescribers per 100 000 population (P = .002). The numbers of patients receiving buprenorphine increased by an average of 0.6 and 7.15 per 100 000 population per month in preengagement and postengagement periods, respectively, indicating an estimated additional 6.56 (95% CI, 2.09-11.02) patients receiving buprenorphine per 100 000 population (P = .004) monthly increase after engagement compared with before.

Conclusions and Relevance

In this cohort study measuring buprenorphine prescriptions in Michigan over time, counties' engagement in OUD-focused outreach and clinician education services delivered by a multidisciplinary team was associated with a temporal increase in buprenorphine prescribers and patients receiving buprenorphine.

Retention in Telehealth Treatment for Opioid Use Disorder Among Rural Populations: A Retrospective Cohort Study

Introduction: There are limited studies to date on telemedicine treatment outcomes for opioid use disorder (OUD) among rural populations. Methods: This was a retrospective cohort study of rural adults enrolled in telemedicine OUD treatment. Study outcomes were percent retained in care and adherence to buprenorphine assessed by urine drug screens at 1, 3, and 6 months. Results: From April 1, 2020, through January 31, 2022, 1,816 rural patients across 14 states attended an initial telemedicine visit and received a clinical diagnosis of OUD. Participants had the following characteristics: mean age 37.7 years (±8.6); 52.4% female; and 66.7% Medicaid. At 1, 3, and 6 months, 74.8%, 61.5%, and 52.3% of participants were retained in care, and 69.0%, 56.0%, and 49.2% of participants were adherent, respectively. Conclusions: Telemedicine is an effective approach for treating OUD in rural populations, with retention comparable to in-person treatment.

Mortality, incarceration and cost implications of fentanyl felonization laws: A modeling study

BACKGROUND

Opioid overdose continues to be a major cause of death in the United States. One effort to control opioid use has been to implement policies that enhance criminalization of opioid possession. Laws to further criminalize possession of fentanyl have been enacted or are under consideration across the country, including at the national level.

OBJECTIVE

Estimate the long-term effects on opioid death and incarceration resulting from increasingly strict fentanyl possession laws .

DESIGN

We built a Markov simulation model to explore the potential outcomes of a 2022 Colorado law which made possession of >1 g of drug with any amount of fentanyl a Level 4 drug felony (and escalation of the previous law, where >4 g of any drug with any amount of fentanyl in possession was considered a felony). The model simulates a cohort of people with fentanyl possession moving through the criminal justice system, exploring the probability of overdose and incarceration under different scenarios, including various fentanyl possession policies and potential interventions.

SETTING

Colorado PARTICIPANTS: A simulated cohort of people in possession of fentanyl.

MEASUREMENTS

Number of opioid overdose deaths, people incarcerated, and associated costs over 5 years.

RESULTS

When >4 g of a drug containing any amount of fentanyl is considered a felony in Colorado, the model predicts 5460 overdose deaths (95% CrI 410-9260) and 2,740 incarcerations for fentanyl possession (95% CrI: 230-10,500) over 5 years. When the policy changes so that >1 g possession of drug with fentanyl is considered a felony, opioid overdose deaths increase by 19% (95% CRI: 16-38%) and incarcerations for possession increase by 98% (CrI: 85-98%). Diversion programs and MOUD in prison help alleviate some of the increases in death and incarceration, but do not completely offset them.

LIMITATIONS

The mathematical model is meant to offer broad assessment of the impact of these policies, not forecast specific and exact numerical outcomes.

CONCLUSIONS

Our model shows that lowering thresholds for felony possession of fentanyl containing drugs can lead to more opioid overdose deaths and incarceration.

Racial/ethnic disparities in timely receipt of buprenorphine among Medicare disability beneficiaries

BACKGROUND

Medicare disability beneficiaries (MDBs) have disproportionately high risk of opioid use disorder (OUD) and related harms given high rates of comorbidities and high-dose opioid prescribing. Despite this increased risk, little is known about timely receipt of medication for opioid use disorder (MOUD), including potential disparities by patient race/ethnicity or moderation by county-level characteristics.

METHODS

National Medicare claims for a sample of MDBs with incident OUD diagnosis between March 2016 and June 2019 were linked with county-level data. Multivariable mixed effects Cox proportional hazards models estimated time (in days) to buprenorphine receipt within 180 days of incident OUD diagnosis. Primary exposures included individual-level race/ethnicity and county-level buprenorphine prescriber availability, percent non-Hispanic white (NHW) residents, and Social Deprivation Index (SDI) score.

RESULTS

The sample (n=233,079) was predominantly White (72.3%), ≥45 years old (76.3%), and male (54.8%). Black (adjusted hazard ratio [aHR]=0.50; 95% CI, 0.47-0.54), Asian/Pacific Islander (aHR=0.54; 95% CI, 0.41-0.72), Hispanic/Latinx (aHR=0.81; 95% CI, 0.76-0.87), and Other racial/ethnic groups (aHR=0.75; 95% CI, 0.58-0.97) had a lower likelihood of timely buprenorphine than non-Hispanic white beneficiaries after adjusting for individual and county-level confounders. Timely buprenorphine receipt was positively associated with county-level buprenorphine prescriber availability (aHR=1.05; 95% CI, 1.04-1.07), percent non-Hispanic white residents (aHR=1.01; 95% CI, 1.00-1.01), and SDI (aHR=1.06; 95% CI, 1.01-1.10).

CONCLUSIONS

Racial/ethnic disparities highlight the need to improve access to care for underserved groups. Implementing equity-focused quality and performance measures and developing interventions to increase office-based buprenorphine prescribing in predominantly minority race/ethnicity counties may reduce disparities in timely access to medication for OUD.

Improvements in recovery capital are associated with decreased alcohol use in a primary opioid use disorder treatment-seeking cohort

BACKGROUND AND OBJECTIVES

Comorbid substance use can negatively impact multiple aspects of treatment for patients with an opioid use disorder (OUD). We investigated if treatment for OUD led to improvements in patients' recovery capital (RC) overtime, and whether there were associated changes in co-occurring alcohol use.

METHODS

Participants (n = 133) were patients with OUD seeking outpatient treatment, who completed the Assessment of Recovery Capital (ARC) and reported drinking days per 30-day period thrice over the 6-month study. No specific treatments targeting alcohol were used. Two different models were employed to assess changes in total ARC score and adjusted odds ratio (aOR) for past 30-day abstinence.

RESULTS

Baseline mean ARC scores were 36.6 and significantly increased to mean score of 41.2 at study end. Ninety-one participants (68.4%) reported no alcohol use at baseline, and 97 (78.9%) reported no use in the previous 30 days at study endpoint. For each increase in ARC, there was an aOR 1.07 (confidence interval [CI]: 1.02-1.13) for past 30-day abstinence. Considering ARC standard deviation of 10.33 over all measurements, this equates to an aOR of 2.10 (CI: 1.22-3.62) for past 30-day abstinence.

DISCUSSION AND CONCLUSIONS

We saw significantly increased aOR for past 30-day abstinence as RC improved in an OUD treatment-seeking population. This difference was not caused by differences in ARC between study completers and noncompleters.

SCIENTIFIC SIGNIFICANCE

Showcases how RC growth may be protective of past 30-day alcohol use in an OUD cohort and adds specific aOR for abstinence per ARC increase.

Trends in buprenorphine dosage and days supplied for new treatment episodes for opioid use disorder, 2010-2019

BACKGROUND

Buprenorphine reduces risk of opioid overdose mortality. However, its benefits are limited by low retention, particularly in early treatment. Optimizing initial dosage may impact retention. However, little is known about the prescription characteristics of new buprenorphine treatment episodes.

METHODS

In a US sample of commercial and employer-sponsored pharmacy claims, we identified new buprenorphine treatment episodes (days 1-30) from individuals ≥16 years following 90 days without buprenorphine from 2010 to 2019. Outcomes included first prescription average days supplied, first prescription average daily dosage, and average dosage on days 2, 8, 15 and 30.

RESULTS

We identified 117,793 new episodes among 96,451 unique individuals. Episodes per 10,000 person-years decreased slightly over time. Stratifying by age, sex and region demonstrated decreasing episodes among individuals ≤34 years and increasing episodes among individuals ≥35 years. From 2010-2019, first prescription average days supplied and daily dosage decreased from 17.1 to 15.3 days and 13.6mg to 11.6mg, respectively. Simultaneously, the proportion of episodes without possession and with dosages <16mg increased across all days and years. By day 30, episodes without buprenorphine possession grew from 27.9% to 30.8% and episodes involving dosages of <16mg grew from 26.4% to 33.4%.

CONCLUSIONS

We found that buprenorphine dosage and days supplied for new treatment episodes decreased from 2010 to 2019 while buprenorphine possession worsened. Further investigation examining the relationship between buprenorphine dosage and retention in the early treatment period is needed.

Examining buprenorphine diversion through a harm reduction lens: an agent-based modeling study

BACKGROUND

Recent policies have lessened restrictions around prescribing buprenorphine-naloxone (buprenorphine) for the treatment of opioid use disorder (OUD). The primary concern expressed by critics of these policies is the potential for buprenorphine diversion. However, the population-level effects of increased buprenorphine diversion are unclear. If replacing the use of heroin or fentanyl, use of diverted buprenorphine could be protective.

METHODS

Our study aim was to estimate the impact of buprenorphine diversion on opioid overdose using an agent-based model calibrated to North Carolina. We simulated the progression of opioid misuse and opioid-related outcomes over a 5-year period. Our status quo scenario assumed that 50% of those prescribed buprenorphine diverted at least one dose per week to other individuals with OUD and 10% of individuals with OUD used diverted buprenorphine at least once per week. A controlled prescription only scenario assumed that no buprenorphine would be diverted, while an increased diversion scenario assumed that 95% of those prescribed buprenorphine diverted and 50% of individuals with OUD used diverted buprenorphine. We assumed that use of diverted buprenorphine replaced the use of other opioids for that day. Sensitivity analyses increased the risk of overdose when using diverted buprenorphine, increased the frequency of diverted buprenorphine use, and simulated use of diverted buprenorphine by opioid-naïve individuals. Scenarios were compared on opioid overdose-related outcomes over the 5-year period.

RESULTS

Our status quo scenario predicted 10,658 (credible interval [CI]: 9699-11,679) fatal opioid overdoses. A scenario simulating controlled prescription only of buprenorphine (i.e., no diversion) resulted in 10,741 (9895-11,650) fatal opioid overdoses versus 10,301 (9439-11,244) within a scenario simulating increased diversion. Compared to the status quo, the controlled prescription only scenario resulted in a similar number of fatal overdoses, while the scenario with increased diversion of buprenorphine resulted in 357 (3.35%) fewer fatal overdoses. Even when increasing overdose risk while using diverted buprenorphine and incorporating use by opioid naïve individuals, increased diversion did not increase overdoses compared to a scenario with no buprenorphine diversion.

CONCLUSIONS

A similar number of opioid overdoses occurred under modeling conditions with increased rates of buprenorphine diversion among persons with OUD, with non-statistical trends toward lower opioid overdoses. These results support existing calls for low- to no-barrier access to buprenorphine for persons with OUD.

Buprenorphine deregulation as an opioid crisis policy response - A comparative analysis between France and the United States

BACKGROUND

In passing the Maintstreaming Addiction Treatment Act, the United States has abolished its federal X waiver, considered a major barrier to the wider buprenorphine prescribing needed to respond to opioid-related harms. Advocates for this policy have drawn on the French response of deregulating buprenorphine prescribing to address increasing overdose mortality around the turn of the millennium. So far, such policy advocacy has incompletely accounted for contextual and health system differences between the two countries.

METHODS

Using the health system dynamics framework, this analysis compares France from 1995 to 2003 (the relevant period of buprenorphine reform) to the US from 2018 until today (the comparison period to explore potential impacts of reform). We used it to guide examination of a) contextual issues relating to opioid use epidemiology and b) health system factors including prescriber supply, sector organization, and insurance coverage for primary care to draw relevant policy learning for the contemporary US.

RESULTS

We identified that the US had a 22.5-fold higher mortality rate and a 2.3-fold higher opioid use disorder (OUD) rate compared to France, despite having rates of prescribed buprenorphine per-capita higher than, and per-person with OUD comparable to, than that of France. These wide gulfs between the scales and nature of the problems between France and the US suggest that relaxing restrictions on buprenorphine prescribing through abolishing the X waiver will be insufficient for achieving hoped-for reductions in overdose mortality.

CONCLUSION

Health system strengthening with a focus on improvements in primary care prescriber supply, coverage, and coordination are likely higher yield policy complements to relaxing buprenorphine regulation. Such an approach would better prepare the US to adapt to ongoing dynamics and uncertainties in the opioid crisis and to optimize the already relatively high levels of buprenorphine prescribing.

Multiobjective Molecular Optimization for Opioid Use Disorder Treatment Using Generative Network Complex

Opioid use disorder (OUD) has emerged as a significant global public health issue, necessitating the discovery of new medications. In this study, we propose a deep generative model that combines a stochastic differential equation (SDE)-based diffusion model with a pretrained autoencoder. The molecular generator enables efficient generation of molecules that target multiple opioid receptors, including mu, kappa, and delta. Additionally, we assess the ADMET (absorption, distribution, metabolism, excretion, and toxicity) properties of the generated molecules to identify druglike compounds. We develop a molecular optimization approach to enhance the pharmacokinetic properties of some lead compounds. Advanced binding affinity predictors were built using molecular fingerprints, including autoencoder embeddings, transformer embeddings, and topological Laplacians. Our process yields druglike molecules that can be used in highly focused experimental studies to further evaluate their pharmacological effects. Our machine learning platform serves as a valuable tool for designing effective molecules to address OUD.

Economic Evaluation of Extended-Release Buprenorphine for Persons With Opioid Use Disorder

Importance

In 2017, the US Food and Drug Administration (FDA) approved a monthly injectable form of buprenorphine, extended-release buprenorphine; published data show that extended-release buprenorphine is effective compared with no treatment, but its current cost is higher and current retention is lower than that of transmucosal buprenorphine. Preliminary research suggests that extended-release buprenorphine may be an important addition to treatment options, but the cost-effectiveness of extended-release buprenorphine compared with transmucosal buprenorphine remains unclear.

Objective

To evaluate the cost-effectiveness of extended-release buprenorphine compared with transmucosal buprenorphine.

Design, Setting, and Participants

This economic evaluation used a state transition model starting in 2019 to simulate the lifetime of a closed cohort of individuals with OUD presenting for evaluation for opioid agonist treatment with buprenorphine. The data sources used to estimate model parameters included cohort studies, clinical trials, and administrative data. The model relied on pharmaceutical costs from the Federal Supply Schedule and health care utilization costs from published studies. Data were analyzed from September 2021 to January 2023.

Interventions

No treatment, treatment with transmucosal buprenorphine, or treatment with extended-release buprenorphine.

Main Outcomes and Measures

Mean lifetime costs per person, discounted quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios (ICERs).

Results

The simulated cohort included 100 000 patients with OUD receiving (61% male; mean [SD] age, 38 [11] years) or not receiving medication treatment (58% male, mean [SD] age, 48 [18] years). Compared with no medication treatment, treatment with transmucosal buprenorphine yielded an ICER of $19 740 per QALY. Compared with treatment with transmucosal buprenorphine, treatment with extended-release buprenorphine yielded lower effectiveness by 0.03 QALYs per person at higher cost, suggesting that treatment with extended-release buprenorphine was dominated and not preferred. In probabilistic sensitivity analyses, treatment with transmucosal buprenorphine was the preferred strategy 60% of the time. Treatment with extended-release buprenorphine was cost-effective compared with treatment with transmucosal buprenorphine at a $100 000 per QALY willingness-to-pay threshold only after substantial changes in key parameters.

Conclusions and Relevance

In this economic evaluation of extended-release buprenorphine compared with transmucosal buprenorphine for the treatment of OUD, extended-release buprenorphine was not associated with efficient allocation of limited resources when transmucosal buprenorphine was available. Future initiatives should aim to improve retention rates or decrease costs associated with extended-release buprenorphine.

Design of CLARO+ (Collaboration Leading to Addiction Treatment and Recovery from Other Stresses, Plus): A randomized trial of collaborative care to decrease overdose and suicide risk among patients with co-occurring disorders

BACKGROUND

The United States is mired in two intertwined epidemics of death from suicide and overdose. Opioid use disorder (OUD) and mental illness contribute to both, and individuals with co-occurring disorders (CODs) are a complex population at high risk. Although universal prevention makes sense from a public health perspective, medical and behavioral health providers often lack the time to proactively address these issues with all patients. In this study, we build upon a parent study called Collaboration Leading to Addiction Treatment and Recovery from Other Stresses (CLARO), a model of collaborative care in which care coordinators deliver preventative measures to high-risk patients and coordinate care with the patients' care team, with the goal of increasing MOUD retention and decreasing risk of suicide and overdose.

METHODS

CLARO+ adds intervention components on overdose prevention, recognition, and response training; lethal means safety counseling; and an effort to mail compassionate messages called Caring Contacts. Both CLARO and CLARO+ have been implemented at 17 clinics in New Mexico and California, and this study seeks to determine the difference in effectiveness between the two versions of the intervention. This paper describes the design protocol for CLARO+.

CONCLUSION

CLARO+ is an innovative approach that aims to supplement existing collaborative care with additional suicide and overdose prevention strategies.

CLINICALTRIALS

gov: NCT04559893.

Viewing Then Doing?: Problem-Solving Court Coordinators' Perceptions of Medications for Opioid Use Disorders from a Nationally Representative Survey in the United States

Background. Overdose deaths in the United States (U.S.) surpassed 100,000 in 2021. Problem-solving courts (PSCs), which originally began as drug courts, divert people with nonviolent felonies and underlying social issues (e.g. opioid use disorders (OUDs)) from the carceral system to a community-based treatment court program. PSCs are operated by a collaborative court staff team including a judge that supervises PSC clients, local court coordinators that manage PSC operations, among other staff. Based on staff recommendations, medications for opioid use disorders (MOUDs) can be integrated into court clients' treatment plans. MOUDs are an evidence-based treatment option. However, MOUDs remain widely underutilized within criminal justice settings partially due to negative perceptions of MOUDs held by staff. Objective. PSCs are an understudied justice setting where MOUD usage would be beneficial. This study sought to understand how court coordinators' perceptions and attitudes about MOUDs influenced their uptake and utilization in PSCs. Methods. A nationally representative survey of 849 local and 42 state PSC coordinators in the U.S. was conducted to understand how coordinators' perceptions influenced MOUD utilization. Results. Generally, court coordinators hold positive views of MOUDs, especially naltrexone. While state and local coordinators' views do not differ greatly, their stronger attitudes align with different aspects of and issues in PSCs such as medication diversion (i.e. misuse). Conclusions. This study has implications for PSCs and their staff, treatment providers, and other community supervision staff (e.g. probation/parole officers, court staff) who can promote and encourage the use of MOUDs by clients.

Re-Purposing FDA-Approved Drugs for Opioid Use Disorder

OBJECTIVE

To investigate FDA-approved drugs prescribed for unrelated diseases or conditions that promote remission in subjects diagnosed with opioid use disorder (OUD).

METHODS

This was a retrospective observational study utilizing the TriNetX electronic medical record data. Subjects between 18 and 65 years old were included in this study. First, a drug screen was employed to identify medications used for chronic illness that are associated with OUD remission. Based on Fisher's exact test for significance, 28 of 101 medications were selected for further analysis. Positive (buprenorphine/methadone) and negative controls (benazepril) were included in the analysis. Medications were analyzed in the absence and presence of buprenorphine or methadone, two medications used to treat OUD, to identify the likelihood of OUD remission up to one year following the index event.

RESULTS

We identify 8 medications (prazosin, propranolol, lithium carbonate, olanzapine, quetiapine, bupropion, citalopram, and escitalopram) that may be useful for increasing remission in OUD in the absence of buprenorphine or methadone. Additionally, our results identify psychiatric medications that when taken alongside buprenorphine and methadone improve remission rates.

CONCLUSION

These results provide medication options that may be useful in treating OUD as well as integrated therapies to treat comorbid mental illness.

Case Report: Buprenorphine-precipitated fentanyl withdrawal treated with high-dose buprenorphine

Background: Buprenorphine, a partial agonist of the mu-opioid receptor, is an increasingly prescribed medication for maintenance treatment of opioid use disorder. When this medication is taken in the context of active opioid use, precipitated withdrawal can occur, leading to acute onset of opioid withdrawal symptoms. Fentanyl complicates use of buprenorphine, as it slowly releases from body stores and can lead to higher risk of precipitated withdrawal. Objectives: Describe the successful management of buprenorphine precipitated opioid withdrawal from fentanyl with high doses of buprenorphine. We seek to highlight how no adverse effects occurred in this patient and illustrate his stable transition to outpatient treatment. Case report: We present the case of a patient with severe opioid use disorder who presented in moderately severe opioid withdrawal after taking non-prescribed buprenorphine-naloxone which precipitated opioid withdrawal from daily fentanyl use. He was treated with high doses of buprenorphine, 148 mg over the first 48 hours, averaging 63 mg per day over four days. The patient reported rapid improvement in withdrawal symptoms without noted side effects and was able to successfully taper to 16 mg twice daily by discharge. Conclusions: This case demonstrates the safety and effectiveness of buprenorphine at high doses for treatment of precipitated withdrawal. While other options include symptomatic withdrawal management, initiating methadone or less researched options like ketamine, utilizing buprenorphine can preserve or re-establish confidence in this life-saving medication. This case also increases the previously documented upper boundary on buprenorphine dosing for withdrawal and should provide additional confidence in its use.

Estimated Reductions in Opioid Overdose Deaths With Sustainment of Public Health Interventions in 4 US States

Importance

In 2021, more than 80 000 US residents died from an opioid overdose. Public health intervention initiatives, such as the Helping to End Addiction Long-term (HEALing) Communities Study (HCS), are being launched with the goal of reducing opioid-related overdose deaths (OODs).

Objective

To estimate the change in the projected number of OODs under different scenarios of the duration of sustainment of interventions, compared with the status quo.

Design, Setting, and Participants

This decision analytical model simulated the opioid epidemic in the 4 states participating in the HCS (ie, Kentucky, Massachusetts, New York, and Ohio) from 2020 to 2026. Participants were a simulated population transitioning from opioid misuse to opioid use disorder (OUD), overdose, treatment, and relapse. The model was calibrated using 2015 to 2020 data from the National Survey on Drug Use and Health, the US Centers for Disease Control and Prevention, and other sources for each state. The model accounts for reduced initiation of medications for OUD (MOUDs) and increased OODs during the COVID-19 pandemic.

Exposure

Increasing MOUD initiation by 2- or 5-fold, improving MOUD retention to the rates achieved in clinical trial settings, increasing naloxone distribution efforts, and furthering safe opioid prescribing. An initial 2-year duration of interventions was simulated, with potential sustainment for up to 3 additional years.

Main Outcomes and Measures

Projected reduction in number of OODs under different combinations and durations of sustainment of interventions.

Results

Compared with the status quo, the estimated annual reduction in OODs at the end of the second year of interventions was 13% to 17% in Kentucky, 17% to 27% in Massachusetts, 15% to 22% in New York, and 15% to 22% in Ohio. Sustaining all interventions for an additional 3 years was estimated to reduce the annual number of OODs at the end of the fifth year by 18% to 27% in Kentucky, 28% to 46% in Massachusetts, 22% to 34% in New York, and 25% to 41% in Ohio. The longer the interventions were sustained, the better the outcomes; however, these positive gains would be washed out if interventions were not sustained.

Conclusions and Relevance

In this decision analytical model study of the opioid epidemic in 4 US states, sustained implementation of interventions, including increased delivery of MOUDs and naloxone supply, was found to be needed to reduce OODs and prevent deaths from increasing again.

Optimally Choosing Medication Type for Patients With Opioid Use Disorder

Patients with opioid use disorder (OUD) tend to get assigned to one of 3 medications based on the treatment program to which the patient presents (e.g., opioid treatment programs tend to treat patients with methadone, while office-based practices tend to prescribe buprenorphine). It is possible that optimally matching patients with treatment type would reduce the risk of return to regular opioid use (RROU). We analyzed data from 3 comparative effectiveness trials from the US National Institute on Drug Abuse Clinical Trials Network (CTN0027, 2006-2010; CTN0030, 2006-2009; and CTN0051 2014-2017), in which patients with OUD (n = 1,459) were assigned to treatment with either injection extended-release naltrexone (XR-NTX), sublingual buprenorphine-naloxone (BUP-NX), or oral methadone. We learned an individualized rule by which to assign medication type such that risk of RROU during 12 weeks of treatment would be minimized, and then estimated the amount by which RROU risk could be reduced if the rule were applied. Applying our estimated treatment rule would reduce risk of RROU compared with treating everyone with methadone (relative risk (RR) = 0.79, 95% confidence interval (CI): 0.60, 0.97) or treating everyone with XR-NTX (RR = 0.71, 95% CI: 0.47, 0.96). Applying the estimated treatment rule would have resulted in a similar risk of RROU to that of with treating everyone with BUP-NX (RR = 0.92, 95% CI: 0.73, 1.11).

Machine-learning repurposing of DrugBank compounds for opioid use disorder

Opioid use disorder (OUD) is a chronic and relapsing condition that involves the continued and compulsive use of opioids despite harmful consequences. The development of medications with improved efficacy and safety profiles for OUD treatment is urgently needed. Drug repurposing is a promising option for drug discovery due to its reduced cost and expedited approval procedures. Computational approaches based on machine learning enable the rapid screening of DrugBank compounds, identifying those with the potential to be repurposed for OUD treatment. We collected inhibitor data for four major opioid receptors and used advanced machine learning predictors of binding affinity that fuse the gradient boosting decision tree algorithm with two natural language processing (NLP)-based molecular fingerprints and one traditional 2D fingerprint. Using these predictors, we systematically analyzed the binding affinities of DrugBank compounds on four opioid receptors. Based on our machine learning predictions, we were able to discriminate DrugBank compounds with various binding affinity thresholds and selectivities for different receptors. The prediction results were further analyzed for ADMET (absorption, distribution, metabolism, excretion, and toxicity), which provided guidance on repurposing DrugBank compounds for the inhibition of selected opioid receptors. The pharmacological effects of these compounds for OUD treatment need to be tested in further experimental studies and clinical trials. Our machine learning studies provide a valuable platform for drug discovery in the context of OUD treatment.