Discontinuation of medication treatment for opioid use disorder after a successful course: The discontinuation phase of the CTN-0100 (RDD) trial.

INTRODUCTION AND BACKGROUND: Buprenorphine, and extended-release naltrexone, are effective in decreasing opioid use, morbidity and mortality. The available evidence suggests that these medications should be used for long term treatment; however, patients often ask how long they need to be on medication, and whether it would be safe to discontinue. There are sparse data to guide us. The CTN-0100 trial will address this gap in our knowledge by studying participants who have decided to discontinue buprenorphine and extended-release naltrexone for OUD. RESEARCH DESIGN AND METHODS: The trial is a multicenter, randomized, non-blinded study. Participants are stable adult volunteers, on sublingual buprenorphine, extended-release buprenorphine, or extended-release naltrexone, expressing an interest in discontinuing medication. Participants on buprenorphine must be stable for at least 1 year and participants on extended-release naltrexone must be stable for at least 6 months. Participants are engaged in the study for up to 96 weeks, including a flexible taper period, and are then transitioned to follow-up within the trial. All participants are randomly assigned to the study Medical Management (MM) or to MM plus Connections (CHESS health) digital smartphone application aimed at recovery and abstinence (MMD). Sublingual Buprenorphine participants are also randomized (2 × 2 design) to a taper using either sublingual or extended-release buprenorphine. DISCUSSION/CONCLUSION: It is hoped that this trial will provide a rich source of data on management of patients discontinuing medication for opioid use disorder (MOUD) to inform future research and practice. The trial will shed light on which strategies are most likely to lead to long-term success (absence of relapse), and what participant characteristics distinguish those who can safely discontinue MOUD from those who remain at risk of relapse should they discontinue. CLINICALTRIALS: gov Identifier: NCT04464980.

Developing a remotely delivered intensive outpatient program adapted for hospitalized patients with opioid use disorder: A qualitative study.

Introduction: Individuals with opioid use disorder (OUD) who inject drugs have an elevated risk of experiencing serious injection-related infections. While such infections can be treated, treatment for the underlying OUD is often limited. One potential strategy for more intensive addiction treatment is to offer a remotely delivered intensive outpatient program (IOP), adapted from an existing remote IOP ("Smart IOP"). We aimed to conduct a qualitative study to gather feedback on Smart IOP and identify adaptations needed for hospitalized patients. Methods: Individuals with OUD and a history of serious injection-related infections completed a semi-structured interview and were shown samples of the videos and program content. The interviews were transcribed verbatim and coded to conduct a thematic analysis. Results: Seventeen individuals participated. The mean age was 40.8 years and 70.6 % were men. Participants reported that IOP during the hospitalization would have been helpful to their recovery. The themes that emerged were the importance of medications for OUD, having a relapse prevention plan, engaging with a recovery coach, and ensuring treatment linkage post-discharge. Other themes included the recognition of the severity of one's illness and the emotional experiences related to the hospitalization. Conclusions: Participants expressed the value of an IOP during hospitalization and provided insights into the support needed while hospitalized. The tailored IOP is now being developed and will undergo a pilot feasibility trial.

Effect of the Communities that HEAL intervention on receipt of behavioral therapies for opioid use disorder: A cluster randomized wait-list controlled trial.

BACKGROUND: The U.S. opioid overdose crisis persists. Outpatient behavioral health services (BHS) are essential components of a comprehensive response to opioid use disorder and overdose fatalities. The Helping to End Addiction Long-Term® (HEALing) Communities Study developed the Communities That HEAL (CTH) intervention to reduce opioid overdose deaths in 67 communities in Kentucky, Ohio, New York, and Massachusetts through the implementation of evidence-based practices (EBPs), including BHS. This paper compares the rate of individuals receiving outpatient BHS in Wave 1 intervention communities (n = 34) to waitlisted Wave 2 communities (n = 33). METHODS: Medicaid data included individuals ≥18 years of age receiving any of five BHS categories: intensive outpatient, outpatient, case management, peer support, and case management or peer support. Negative binomial regression models estimated the rate of receiving each BHS for Wave 1 and Wave 2. Effect modification analyses evaluated changes in the effect of the CTH intervention between Wave 1 and Wave 2 by research site, rurality, age, sex, and race/ethnicity. RESULTS: No significant differences were detected between intervention and waitlisted communities in the rate of individuals receiving any of the five BHS categories. None of the interaction effects used to test the effect modification were significant. CONCLUSIONS: Several factors should be considered when interpreting results-no significant intervention effects were observed through Medicaid claims data, the best available data source but limited in terms of capturing individuals reached by the intervention. Also, the 12-month evaluation window may have been too brief to see improved outcomes considering the time required to stand-up BHS. TRIAL REGISTRATION: Clinical Trials.gov http://www. CLINICALTRIALS: gov: Identifier: NCT04111939.

Protocol for harmonization of randomized trials testing the addition of behavioral therapy to buprenorphine for opioid use disorder.

Background: Although buprenorphine is an effective treatment for opioid use disorder (OUD), much remains to be understood about treatment non-response and methods for improving treatment retention. The addition of behavioral therapies to buprenorphine has not yielded consistent benefits for opioid outcomes, on average. However, several studies suggest that certain subgroups may benefit from the combination of buprenorphine and behavioral therapy, highlighting the potential for personalized approaches to treatment. Furthermore, little is known about whether behavioral therapies improve buprenorphine retention or non-opioid (e.g., functional) outcomes. Methods: The objective of this project is to harmonize four previously conducted clinical trials testing the addition of behavioral therapy to buprenorphine maintenance for OUD and to use this larger dataset to answer critical clinical questions about the role of behavioral therapy in this population. Study aims include identifying potential moderators of the effect of the addition of behavioral therapy and quantifying the effect of behavioral therapy on buprenorphine retention and functional outcomes. Results: Analyses will consider outcomes of weeks of opioid use, weeks of retention in buprenorphine treatment, and functional outcomes as measured by the Addiction Severity Index. Analyses will include an indicator for each study to account for heterogeneity of samples and design. Conclusion: Results will help to inform clinical and research efforts to optimize the use of behavioral therapies in the treatment of OUD.

Cognitive behavioral therapy for anxiety and opioid use disorder: Development and pilot testing.

INTRODUCTION: Anxiety disorders are highly prevalent among people with opioid use disorder (OUD), and they have a negative impact on disorder course and treatment outcomes. The objective of this Stage 1 A/1B behavioral treatment development trial was to develop a novel cognitive-behavioral therapy (CBT) protocol for co-occurring anxiety disorders and OUD. METHODS: Following a period of iterative manual development involving patient interviews and feedback from content experts, we tested a 12-session individual CBT protocol in a small, open pilot trial (N = 5). This was followed by a small, randomized controlled trial (N = 32), comparing the new protocol to 12 sessions of manualized Individual Drug Counseling. All participants also received medication for OUD. RESULTS: Overall, support for feasibility and acceptability was strong, based on recruitment and retention rates and patient satisfaction ratings. Within-subjects results identified 11-point reductions in anxiety symptom severity (on a 0-56 point scale); these gains were sustained through 3 months of follow-up. However, these changes did not differ between randomized conditions. With respect to opioid outcomes, 85 % of participants were abstinent in the prior month at the end of treatment. Opioid use outcomes also did not differ by treatment condition. CONCLUSIONS: These results support the feasibility and acceptability of a CBT protocol for co-occurring anxiety and OUD. However, in this small pilot trial results do not show an initial benefit over an evidence-based psychosocial treatment targeted to OUD alone, in combination with medication for OUD.

Permutation Tests for Assessing Potential Non-Linear Associations between Treatment Use and Multivariate Clinical Outcomes.

In many psychometric applications, the relationship between the mean of an outcome and a quantitative covariate is too complex to be described by simple parametric functions; instead, flexible nonlinear relationships can be incorporated using penalized splines. Penalized splines can be conveniently represented as a linear mixed effects model (LMM), where the coefficients of the spline basis functions are random effects. The LMM representation of penalized splines makes the extension to multivariate outcomes relatively straightforward. In the LMM, no effect of the quantitative covariate on the outcome corresponds to the null hypothesis that a fixed effect and a variance component are both zero. Under the null, the usual asymptotic chi-square distribution of the likelihood ratio test for the variance component does not hold. Therefore, we propose three permutation tests for the likelihood ratio test statistic: one based on permuting the quantitative covariate, the other two based on permuting residuals. We compare via simulation the Type I error rate and power of the three permutation tests obtained from joint models for multiple outcomes, as well as a commonly used parametric test. The tests are illustrated using data from a stimulant use disorder psychosocial clinical trial.

Individual-Level Risk Prediction of Return to Use During Opioid Use Disorder Treatment.

Importance: No existing model allows clinicians to predict whether patients might return to opioid use in the early stages of treatment for opioid use disorder. Objective: To develop an individual-level prediction tool for risk of return to use in opioid use disorder. Design, Setting, and Participants: This decision analytical model used predictive modeling with individual-level data harmonized in June 1, 2019, to October 1, 2022, from 3 multicenter, pragmatic, randomized clinical trials of at least 12 weeks' duration within the National Institute on Drug Abuse Clinical Trials Network (CTN) performed between 2006 and 2016. The clinical trials covered a variety of treatment settings, including federally licensed treatment sites, physician practices, and inpatient treatment facilities. All 3 trials enrolled adult participants older than 18 years, with broad pragmatic inclusion and few exclusion criteria except for major medical and unstable psychiatric comorbidities. Intervention: All participants received 1 of 3 medications for opioid use disorder: methadone, buprenorphine, or extended-release naltrexone. Main Outcomes and Measures: Predictive models were developed for return to use, which was defined as 4 consecutive weeks of urine drug screen (UDS) results either missing or positive for nonprescribed opioids by week 12 of treatment. Results: The overall sample included 2199 trial participants (mean [SD] age, 35.3 [10.7] years; 728 women [33.1%] and 1471 men [66.9%]). The final model based on 4 predictors at treatment entry (heroin use days, morphine- and cocaine-positive UDS results, and heroin injection in the past 30 days) yielded an area under the receiver operating characteristic curve (AUROC) of 0.67 (95% CI, 0.62-0.71). Adding UDS in the first 3 treatment weeks improved model performance (AUROC, 0.82; 95% CI, 0.78-0.85). A simplified score (CTN-0094 OUD Return-to-Use Risk Score) provided good clinical risk stratification wherein patients with weekly opioid-negative UDS results in the 3 weeks after treatment initiation had a 13% risk of return to use compared with 85% for those with 3 weeks of opioid-positive or missing UDS results (AUROC, 0.80; 95% CI, 0.76-0.84). Conclusions and Relevance: The prediction model described in this study may be a universal risk measure for return to opioid use by treatment week 3. Interventions to prevent return to regular use should focus on this critical early treatment period.

Gender differences in the prevalence of stimulant misuse in the United States: 2015-2019.

BACKGROUND AND OBJECTIVES: The gender gap in prevalence of substance-use disorders has narrowed. However, gender differences in stimulant misuse have not been well-characterized in recent years. The aim of this study was to quantify gender differences in past-year stimulant misuse and stimulant-use disorder, separated by stimulant type (cocaine/crack, prescription stimulants, and methamphetamine). In an exploratory aim, we investigated whether gender differences were moderated by age or sexual orientation. METHODS: We combined data from the National Survey on Drug Use and Health from 2015 to 2019 (unweighted N = 282,768) to test gender differences in the prevalence of past-year stimulant misuse. RESULTS: Results indicated that stimulant misuse was significantly more prevalent in men than women for all stimulant types for both past-year use and past-year use disorder. The magnitude of this sex difference was smallest for prescription stimulants, where men had 1.37 times higher odds of past-year misuse and no gender difference was observed in the prevalence of prescription stimulant-use disorder. The magnitude of gender differences also varied based on both age and sexual orientation. CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: Illicit stimulant misuse continues to be more common in men than in women; however, gender differences are more modest for prescription stimulant misuse, suggesting a narrowing of this historical gender difference.

Effects of live-online, group mindfulness training on opioid use and anxiety during buprenorphine treatment: A comparative effectiveness RCT.

BACKGROUND: Office-based opioid treatment with buprenorphine has emerged as a popular evidence-based treatment for opioid use disorder. Unfortunately, psychosocial stress, anxiety, pain, and co-morbid substance use increase patients' risk for relapse. We designed this study to compare the effects of complementing buprenorphine treatment with 24 weeks of a live-online Mindful Recovery Opioid Care Continuum (M-ROCC) group to a time and attention-matched, live-online Recovery Support Group (RSG) active control condition. METHODS: We plan to enroll a maximum of N = 280 and randomize at least N = 192 patients prescribed buprenorphine through referrals from office-based and telemedicine buprenorphine treatment providers and social media advertisements. Participants will be randomly assigned to M-ROCC or RSG and will be blinded to their treatment condition. The primary outcome for this study will be biochemically confirmed periods of abstinence from illicit opioids, as measured by self-reported use and randomly collected, video-observed oral fluid toxicology testing during the final 12 weeks of study participation. Secondary outcomes include changes in Patient-Reported Outcomes Measurement Information System (PROMIS) anxiety and pain interference scores between baseline and week 24. RESULTS: The trial was funded by the National Institutes of Health, HEAL Initiative through NCCIH (R33AT010125). Data collection is projected to end by September 2023, and we expect publication of results in 2024. CONCLUSION: If the M-ROCC intervention is found to be effective in this format, it will demonstrate that live-online mindfulness groups can improve outcomes and address common co-morbidities like anxiety and pain during buprenorphine treatment.

A Peer Recovery Coach Intervention for Hospitalized Patients with Opioid Use Disorder: A Pilot Randomized Controlled Trial.

OBJECTIVES: Patients with opioid use disorder (OUD) are increasingly being hospitalized for acute medical illnesses. Despite initiation of medications for OUD (MOUDs), many discontinue treatment after discharge. To evaluate whether a psychosocial intervention can improve MOUD retention after hospitalization, we conducted a pilot randomized controlled trial of a peer recovery coach intervention. METHODS: An existing peer recovery coach intervention was adapted for this trial. Hospitalized adults with OUD receiving MOUD treatment were randomized to receive either a recovery coach intervention or treatment-as-usual. For those in the intervention arm, the coach guided the participant to complete a relapse prevention plan, maintained contact throughout the 6-month follow-up period, encouraged MOUD continuation, and helped to identify community resources. Those receiving treatment-as-usual were discharged with a referral to outpatient treatment. Primary outcome was retention in MOUD treatment at 6 months. Secondary outcomes were the proportion of participants readmitted to the hospital and the number of days until treatment discontinuation and to hospital readmission. RESULTS: Twenty-five individuals who provided consent and randomized to the recovery coach intervention (n = 13) or treatment-as-usual (n = 12) were included in the analysis. No significant differences were found in the proportion of participants retained in MOUD treatment at 6 months (38.5% vs 41.7%, P = 0.87), proportion of participants readmitted at 6 months (46.2% vs 41.2%, P = 0.82), or the time to treatment discontinuation (log-rank P = 0.92) or readmission (log-rank P = 0.85). CONCLUSIONS: This pilot trial failed to demonstrate that a recovery coach intervention improved MOUD treatment retention compared with treatment-as-usual among hospitalized individuals with OUD.

Risks of returning to opioid use at treatment entry and early in opioid use disorder treatment: Role of non-opioid substances.

OBJECTIVE: Patients in treatment with medications for opioid use disorder (MOUD) often report use of other substances in addition to opioids. Few studies exist that examine the relationship between use at treatment entry and early non-opioid use in opioid treatment outcome. METHODOLOGY: We combined and harmonized three randomized, controlled MOUD clinical trials from the National Institutes of Drug Abuse (NIDA) Clinical Trials Network (CTN) (N=2197) and investigated the association of non-opioid substance use at treatment entry and during early treatment with a return to opioid use. The trials compared MOUD treatment (buprenorphine, methadone, extended-release naltrexone) in populations with opioid use disorder (OUD). Non-opioid substances were identified through harmonizing self-reported use. The primary outcomes were markers of return to opioid use by 12 weeks. RESULTS: When treatment cohorts were adjusted, no association between self-reported treatment entry use of non-opioid substances and week-12 opioid use was detected. During the first month of treatment, higher use of cocaine (OR 1.41 [1.18-1.69]) and amphetamine (OR 1.70 [1.27-2.26]) was found to be associated with higher likelihood of illicit opioid use by week 12. Exploratory analyses of potential treatment cohort-by-predictor interactions showed that those with heavier cocaine use had a lower rate of returning to opioid use in the extended-release naltrexone group than in the methadone group. CONCLUSION: Substance use other than opioids at treatment entry is not associated with relapse. Use of cocaine or amphetamines during the first few weeks of MOUD treatment may signal a worse outcome, suggesting a need for additional interventions.

Methods for handling missing binary data in substance use disorder trials.

Missing data are a ubiquitous problem in longitudinal substance use disorder (SUD) clinical trials. In particular, the rates of missingness are often high and study participants often intermittently skip their scheduled outcome assessments, leading to so-called "non-monotone" missing data patterns. Moreover, when the primary outcome is a measure of substance use, study investigators often have strong prior beliefs based on their clinical experience that those participants with missing data are more likely to be using substances at those occasions, i.e., data are missing not at random (MNAR). Although approaches for handling missing data are well-developed when the missing data patterns are monotone, arising primarily from study participants withdrawing from the trial prematurely, fewer methods are available for non-monotone missingness. In this paper we review some conventional, as well as more novel, methods for handling non-monotone missingness in SUD trials when the repeatedly measured outcome variable is binary (e.g., denoting presence/absence of substance use). We compare and contrast the different approaches using data from a longitudinal clinical trial of four psychosocial treatments from the Collaborative Cocaine Treatment Study. We conclude by making some recommendations to the SUD research community concerning how more principled methods for handling missing data can be incorporated in the analysis and reporting of trial results.

Multiple imputation for non-monotone missing not at random data using the no self-censoring model.

Although approaches for handling missing data from longitudinal studies are well-developed when the patterns of missingness are monotone, fewer methods are available for non-monotone missingness. Moreover, the conventional missing at random assumption-a natural benchmark for monotone missingness-does not model realistic beliefs about the non-monotone missingness processes (Robins and Gill, 1997). This has provided the impetus for alternative non-monotone missing not at random mechanisms. The "no self-censoring" model is such a mechanism and assumes the probability an outcome variable is missing is independent of its value when conditioning on all other possibly missing outcome variables and their missingness indicators. As an alternative to "weighting" methods that become computationally demanding with increasing number of outcome variables, we propose a multiple imputation approach under no self-censoring. We focus on the case of binary outcomes and present results of simulation and asymptotic studies to investigate the performance of the proposed imputation approach. We describe a related approach to sensitivity analysis to departure from no self-censoring. We discuss the relationship between missing at random and no self-censoring and prove that one is not a special case of the other. Finally, we discuss extensions to non-binary data settings. The proposed methods are illustrated with application to a substance use disorder clinical trial.

Impact of cannabidiol on reward- and stress-related neurocognitive processes among individuals with opioid use disorder: A pilot, double-blind, placebo-controlled, randomized cross-over trial.

Introduction: Opioid use disorder (OUD) continues to be a significant public health concern. Medications for OUD (MOUD) such as buprenorphine reduce overdose mortality, but relapses occur often, leading to adverse outcomes. Preliminary data suggest that cannabidiol (CBD) may be a potential adjunctive treatment to MOUD by attenuating cue-reactivity. This pilot study sought to evaluate the impact of a single dose of CBD on reward- and stress-related neurocognitive processes implicated in relapse among those with OUD. Methods: The study was a pilot, double-blind, placebo-controlled, randomized cross-over trial aimed at assessing the effects of a single dose of CBD (Epidiolex®) 600 mg or matching placebo administered to participants with OUD receiving either buprenorphine or methadone. Vital signs, mood states, pain, opioid withdrawal, cue-induced craving, attentional bias, decision-making, delayed discount, distress tolerance, and stress-reactivity were examined at each testing session on two separate testing days at least 1 week apart. Results: Ten participants completed all study procedures. Receipt of CBD was associated with a significant decrease in cue-induced craving (0.2 vs. 1.3, p = 0.040), as well as reduced attentional bias toward drug-related cues as measured by the visual probe task (-80.4 vs. 100.3, p = 0.041). No differences were found among all the other outcomes examined. Discussion: CBD may have promise as an adjunct to MOUD treatment by attenuating the brain response to drug-related cues, which, in turn, may reduce the risk of relapse and overdoses. Further research is warranted to evaluate the potential for CBD as an adjunctive therapy for individuals in treatment for OUD. Clinical Trial Registration: https://clinicaltrials.gov/ct2/show/NCT04982029.

Transitioning off methadone: A qualitative study exploring why patients discontinue methadone treatment for opioid use disorder.

INTRODUCTION: Patients who discontinue methadone for opioid use disorder are at increased risk of overdose and death. We know little about how patients make the decision to stop treatment. This study explored reasons why patients discontinue methadone treatment. METHODS: We conducted 20 individual semi-structured patient interviews and two staff focus groups, each with five participants, at two opioid treatment programs in Baltimore, MD, in the United States from June 2021 to May 2022. Patient interviews and staff focus groups covered three domains: 1) reasons why patients may want to discontinue methadone; 2) perspectives about the ideal length of methadone treatment; and 3) changes that could improve retention. We used a modified grounded theory approach to code interviews, identify emergent themes, and develop a conceptual model. RESULTS: We identified three themes related to patients' internal relationships to methadone: patients (1) viewed methadone as a bridge to opioid-free recovery, (2) believed that long-term methadone damages the body, and (3) felt that methadone increases craving for cocaine; and three themes related to their external relationships with opioid treatment programs and society at large: patients (4) viewed daily dosing as burdensome, (5) feared methadone inaccessibility could trigger relapse, and (6) experienced stigma from friends, family, and peers. Patients with internal reasons planned to stop as soon as possible and asked for education about perceived side effects and treatment for cocaine craving to promote retention. Patients with external reasons were willing to continue for longer and asked for adaptive take-home policies and reduced societal stigma around methadone. CONCLUSIONS: Patients want to discontinue methadone either because of their internal relationship to methadone and its real or perceived side effects, or because of their external experiences with opioid treatment programs and societal stigma of methadone. To improve retention, clinical and policy changes should consider responses to both of these categories of reasons.

Assessment of the Short Grit Scale in patients with substance use disorder: Psychometric properties and patient characteristics.

Background: Recovery from substance use disorder requires sustained effort and perseverance. Hence, the resilience factor of grit may be important for people in recovery. Little research has been conducted on grit in patients with substance use disorder (SUD), especially in a large and varied sample.Objectives: To analyze the psychometric properties of the Short Grit Scale (Grit-S) in patients with SUD and to use demographic and clinical characteristics to predict variance in Grit-S scores.Methods: Participants completed the Grit-S and other self-report measures. Psychometric properties of the Grit-S were assessed in outpatients (N = 94, 77.7% male) and a hierarchical regression predicted Grit-S variance in inpatients (N = 1238, 65.0% male).Results: The Grit-S demonstrated good internal consistency (α=.75) and strong test-retest reliability (adjusted r = .79, p < .001). Mean Grit-S score was 3.15, lower than other clinical samples reported in the literature. Regression modeling indicated a moderate, statistically significant association between demographic and clinical characteristics and Grit-S scores (R2 = 15.5%, p < .001). Of particular interest, the positive factor of recovery protection showed the strongest association with Grit-S of all variables assessed (ß=.185 vs. ß = .052-.175 for the remaining significant independent variables).Conclusion: The psychometric properties of the Grit-S in patients with SUD support its use in this population. Moreover, the particularly low grit scores among inpatients with SUDs and the association of grit scores with substance use risk and recovery factors suggest that grit could be useful as a treatment target in this population.

Association of Household Opioid Availability With Opioid Overdose.

Importance: Previous studies that examined the role of household opioid prescriptions in opioid overdose risk were limited to commercial claims, did not include fatal overdoses, and had limited inclusion of household prescription characteristics. Broader research is needed to expand understanding of the risk of overdose. Objective: To assess the role of household opioid availability and other household prescription factors associated with individuals' odds of fatal or nonfatal opioid overdose. Design, Setting, and Participants: A retrospective cohort study assessing patient outcomes from January 1, 2015, through December 31, 2018, was conducted on adults in the Oregon Comprehensive Opioid Risk Registry database in households of at least 2 members. Data analysis was performed between October 16, 2020, and January 26, 2023. Exposures: Household opioid prescription availability and household prescription characteristics. Main Outcomes and Measures: Opioid overdoses were captured from insurance claims, death records, and hospital discharge data. Household opioid prescription availability and prescription characteristics for individuals and households were modeled as 6-month cumulative time-dependent measures, updated monthly. To assess the association between household prescription availability, household prescription characteristics, and overdose, multilevel logistic regression models were developed, adjusting for demographic, clinical, household, and prescription characteristics. Results: The sample included 1 691 856 individuals in 1 187 140 households, of which most were women (53.2%), White race (70.7%), living in metropolitan areas (75.8%), and having commercial insurance (51.8%), no Elixhauser comorbidities (69.5%), and no opioid prescription fills in the study period (57.0%). A total of 28 747 opioid overdose events were observed during the study period (0.0526 per 100 person-months). Relative to individuals without personal or household opioid fills, the odds of opioid-related overdose increased by 60% when another household member had an opioid fill in the past 6 months (adjusted odds ratio [aOR], 1.60; 95% CI, 1.54-1.66) and were highest when both the individual and another household member had opioid fills in the preceding 6 months (aOR, 6.25; 95% CI, 6.09-6.40). Conclusions and Relevance: In this cohort study of adult Oregon residents in households of at least 2 members, the findings suggest that household prescription availability is associated with increased odds of opioid overdose for others in the household, even if they do not have their own opioid prescription. These findings underscore the importance of educating patients about proper opioid disposal and the risks of household opioids.

Effects of a trauma-informed mindful recovery program on comorbid pain, anxiety, and substance use during primary care buprenorphine treatment: A proof-of-concept study.

BACKGROUND: A mindfulness-based intervention that reduces comorbid pain, anxiety, and substance use during office-based opioid treatment (OBOT) could enhance retention and prevent overdose. We conducted a pilot study of the Mindful Recovery OUD Care Continuum (M-ROCC), a 24-week trauma-informed program with a motivationally-sensitive curriculum. METHODS: Patients prescribed buprenorphine (N = 18) enrolled in M-ROCC. We collected urine toxicology biweekly. At 0, 4, and 24 weeks, participants completed PROMIS-Pain, PROMIS-Anxiety, Mindfulness (FFMQ), Experiential Avoidance (BEAQ), Interoceptive Awareness (MAIA), and Self-Compassion (SCS-SF) scales. We estimated changes over time using mixed models. Participants completed qualitative interviews at 4 and 24 weeks. RESULTS: Positive urine toxicology decreased over time for cocaine (ß = -.266, p = .008) and benzodiazepines (ß = -.208, p = .028). M-ROCC reduced PROMIS-Pain (Z = -2.29; p = .022), BEAQ (Z = -2.83; p = .0005), and increased FFMQ (Z = 3.51; p < .001), MAIA (Z = 3.40; p = .001), and SCS-SF (Z = 2.29; p = .022). Participants with co-morbid anxiety had decreased PROMIS-Anxiety (Z = -2.53; p = .012). Interviewed participants commonly used mindfulness practices for stress and anxiety (12/12, 100%), and to reduce pain catastrophizing and rumination (7/12, 58%). CONCLUSION AND SCIENTIFIC SIGNIFICANCE: This is the first study to report the effects of a 24-week mindfulness program during buprenorphine treatment on common comorbidities, including pain interference, anxiety, cocaine, and benzodiazepine use. The findings that M-ROCC is associated with reduced experiential avoidance, as well as increased interoceptive awareness and self-compassion, align with proposed mechanisms that are now extended to OUD treatment. Future larger randomized controlled trials are needed before effectiveness can be established and the role of these mechanisms can be confirmed.

Clinical Trial Design Challenges and Opportunities for Emerging Treatments for Opioid Use Disorder: A Review.

Importance: Novel treatments for opioid use disorder (OUD) are needed to address both the ongoing opioid epidemic and long-standing barriers to existing OUD treatments that target the endogenous µ-opioid receptor (MOR) system. The goal of this review is to highlight unique clinical trial design considerations for the study of emerging treatments for OUD that address targets beyond the MOR system. In November 2019, the Analgesic, Anesthetic, and Addiction Clinical Trial Translations, Innovations, Opportunities, and Networks (ACTTION) public-private partnership with the US Food and Drug Administration sponsored a meeting to discuss the current evidence regarding potential treatments for OUD, including cannabinoids, psychedelics, sedative-hypnotics, and immunotherapeutics, such as vaccines. Observations: Consensus recommendations are presented regarding the most critical elements of trial design for the evaluation of novel OUD treatments, such as: (1) stage of treatment that will be targeted (eg, seeking treatment, early abstinence/detoxification, long-term recovery); (2) role of treatment (adjunctive with or independent of existing OUD treatments); (3) primary outcomes informed by patient preferences that assess opioid use (including changes in patterns of use), treatment retention, and/or global functioning and quality of life; and (4) adverse events, including the potential for opioid-related relapse or overdose, especially if the patient is not simultaneously taking maintenance MOR agonist or antagonist medications. Conclusions and Relevance: Applying the recommendations provided here as well as considering input from people with lived experience in the design phase will accelerate the development, translation, and uptake of effective and safe therapeutics for individuals struggling with OUD.