Long-term retention in Office Based Opioid Treatment with buprenorphine

"It's more than just the act of not using. It's a feeling of finally completing something.": Person-centered definitions of successful treatment outcomes from patients and staff at a methadone treatment program in Baltimore City

BACKGROUND

Successful outcomes in substance use disorder (SUD) treatment are traditionally defined by retention in care, substance use cessation, and relapse prevention. However, these metrics may overlook important, person-centered aspects of success, especially for marginalized populations facing significant inequities in care. With overdose-related deaths disproportionately affecting racially minoritized groups, understanding a more inclusive definition of success in opioid use disorder (OUD) treatment is essential for improving clinical treatment, research, and policy. This study explores how patients and staff define successful treatment outcomes and how those definitions align or differ at an outpatient methadone treatment program in Baltimore City.

METHODS

We conducted qualitative interviews and focus groups with 32 participants, including patients, clinical staff, and peer recovery specialists (PRSs) at a methadone treatment program serving primarily low-income, racially minoritized individuals with OUD. The sample was 59 % male, average age 48.7, and 66 % Black or African American. Semi-structured interview guides prompted patients (n = 20) and clinical staff/PRSs (n = 12) to describe successful treatment experiences. Data were analyzed using thematic analysis and contextualized within the Health Equity Implementation Framework to propose influences on equitable methadone treatment that optimize treatment outcomes.

RESULTS

Five key themes emerged in defining person-centered successful treatment outcomes: (1) improvements in general health, (2) productivity and accomplishment, (3) social improvements, (4) substance use changes, and (5) treatment engagement. Patients and staff agreed on two-thirds of subthemes but showed notable differences. Patients emphasized experiential and social aspects of recovery, such as increased activities, supporting others, and resisting substance use influences. Staff focused on sustained behavioral change and long-term recovery milestones, including substance use behaviors, self-worth, community involvement, and treatment planning.

CONCLUSION

Person-centered definitions of success in methadone treatment encompass a range of psychosocial, behavioral, and health-related factors. While patients and staff agreed on overall themes, their perspectives diverged on several subthemes. Incorporating diverse patient perspectives in defining methadone treatment success, particularly from marginalized groups, is essential for improving research, policy, and clinical practices to enhance patient experiences and outcomes in methadone treatment.

A longitudinal observational study with ecological momentary assessment and deep learning to predict non-prescribed opioid use, treatment retention, and medication nonadherence among persons receiving medication treatment for opioid use disorder

BACKGROUND

Despite effective treatments for opioid use disorder (OUD), relapse and treatment drop-out diminish their efficacy, increasing the risks of adverse outcomes, including death. Predicting important outcomes, including non-prescribed opioid use (NPOU) and treatment discontinuation among persons receiving medications for OUD (MOUD) can provide a proactive approach to these challenges. Our study uses ecological momentary assessment (EMA) and deep learning to predict momentary NPOU, medication nonadherence, and treatment retention in MOUD patients.

METHODS

Study participants included adults receiving MOUD at a large outpatient treatment program. We predicted NPOU (EMA-based), medication nonadherence (Electronic Health Record [EHR]- and EMA-based), and treatment retention (EHR-based) using context-sensitive EMAs (e.g., stress, pain, social setting). We used recurrent deep learning models with 7-day sliding windows to predict the next-day outcomes, using Area Under the ROC Curve (AUC) for assessment. We employed SHapley additive ExPlanations (SHAP) to understand feature latency and importance.

RESULTS

Participants comprised 62 adults with 14,322 observations. Model performance varied across EMA subtypes and outcomes with AUCs spanning 0.58-0.97. Recent substance use was the best performing predictor for EMA-based NPOU (AUC = 0.97). Life-contextual factors were best performers for EMA-based medication nonadherence (AUC = 0.68) and retention (AUC = 0.89), and substance use risk factors (e.g., nicotine and alcohol use) and self-reported MOUD adherence performed best for predicting EHR-based medication nonadherence (AUC = 0.79). SHAP revealed varying latencies between predictors and outcomes.

CONCLUSIONS

Findings support the effectiveness of EMA and deep learning for forecasting actionable outcomes in persons receiving MOUD. These insights will enable the development of personalized dynamic risk profiles and just-in-time adaptive interventions (JITAIs) to mitigate high-risk OUD outcomes.

Counseling as a complement to buprenorphine treatment for opioid use disorder: A retrospective observational study of patient outcomes

INTRODUCTION

This study investigated the clinical benefit of counseling as a complement to buprenorphine treatment for opioid use disorder (OUD). The research addresses a critical gap in understanding whether counseling, when received concurrently with buprenorphine, can enhance patient outcomes.

METHODS

We conducted a retrospective cohort study using data from the Massachusetts Department of Public Health's Public Health Data Warehouse (PHD). The study included patients who initiated buprenorphine treatment between January 2015 and December 2019. Investigators measured outcomes including medication adherence, treatment discontinuation, and opioid-related overdose over a 12-month period. We evaluated the effectiveness of counseling based on whether patients attended a minimum of three sessions in the first three months of buprenorphine treatment. We employed Multivariate logistic regression and propensity score matching to analyze the data.

RESULTS

The study sample comprised 32,688 patients with 8871 (27 %) receiving counseling concomitantly with buprenorphine. Results from the regression analyses showed that counseling was associated with 17 % lower likelihood of poor medication continuity (OR = 0.83, 95 % CI = 0.78-0.87) and 21 % lower likelihood of treatment discontinuation (OR = 0.79, 95 % CI = 0.75-0.83). Counseling was not associated with the odds of opioid-related overdose. Additional results from sensitivity analyses pointed to a dose-response relationship for counseling within the parameters studied.

CONCLUSIONS

Findings suggest that counseling when combined with buprenorphine treatment for OUD is associated with better patient outcomes in terms of medication continuity and treatment retention. However, the impact of counseling on opioid-related overdose risk was inconclusive, highlighting the need for further research to understand its role in overdose prevention.

Assessing inequities in buprenorphine treatment across the care cascade

OBJECTIVE

Describe buprenorphine treatment gaps across the care cascade by race, ethnicity, age, sex and key clinical characteristics.

DESIGN

Observational cohort study of new opioid use disorder (OUD) treatment episodes, 1/1/15-12/31/21 PARTICIPANTS: Individuals 16-89 years at Boston Medical Center and affiliated Boston-area clinics with OUD or buprenorphine prescription following 90-day washout MAIN OUTCOMES AND MEASURES: Buprenorphine initiation (by 14d), engagement (second prescription by 34d), and retention (continuous buprenorphine through 180d without >14d gap). Covariates: sex, race and ethnicity, age, past 12-month buprenorphine, past 12-month overdose, co-occurring substance use disorder (SUD) and psychiatric diagnosis.

RESULTS

24,165 episodes (14,182 individuals) included the following characteristics: female (34.1 %); Black (21.5 %), Latino (16.2 %), White (59.2 %); 16-25 years (4.1 %), 65-89 years (4.9 %). Initiation, engagement and retention were low: 39.3 %, 19.3 %, and 12.4 %. In adjusted models, compared with males, females' lower probability of overall retention reflected lower engagement conditional on initiation (41 % vs. 53 %; OR:0.61, 95 %CI:0.56-0.67, p < 0.001). Black individuals' lower probability of retention overall reflected lower initiation than White individuals (28 % vs 44 %; OR:0.50, 95 %CI:0.46-0.55, p < 0.001). The retention disadvantage for younger and older groups reflected cascade-wide gaps. Lower overall retention associated with co-occurring SUDs reflected lower initiation (OUD only:46 %; OUD plus: alcohol:19 % OR:0.27, 95 %CI:0.21-0.34, p < 0.001; sedatives:21 %, OR:0.31, 95 %CI:0.20-0.49, p < 0.001; stimulants:25 %, OR:0.40, 95 %CI:0.33-0.48, p < 0.001; ≥3 SUDs:25 %, OR:0.40, 95 %CI:0.37-0.43, p < 0.001).

CONCLUSIONS AND RELEVANCE

Inequities in buprenorphine use emerged across the care cascade with unique patterns by sociodemographic and clinical subgroup. Health systems aiming to reduce buprenorphine inequities should identify the optimal cascade step based on the population of interest.

Buprenorphine discontinuation and utilization of psychosocial services: a national study in the Veterans Health Administration

BACKGROUND

Longer duration of treatment with medication for opioid use disorder (MOUD) is associated with improved outcomes, but long-term retention remains a challenge. Research is needed to identify psychosocial interventions that support MOUD retention. To address this gap, we examined associations between a wide range of psychosocial services and buprenorphine treatment discontinuation across 18 months among a large cohort of Veterans initiating buprenorphine nationwide.

METHODS

We identified a cohort of patients with new buprenorphine initiation in 2017-2018 in Veterans Health Administration electronic health record data (N = 11,704). We examined prescription fills for up to 18 months after initiation. The primary outcome was first discontinuation of buprenorphine. We examined a variety of services, including psychotherapy in specialty substance use disorder (SUD) and mental health clinics, other healthcare services, and residential programs. To examine time-varying associations between psychosocial services and risk of discontinuation, we fit extended Cox regression models for each service separately and simultaneously.

RESULTS

Overall, 80.5% of patients discontinued buprenorphine at least once within 18 months. Risk of discontinuation was 18% (HR: 0.82, 95% CI: 0.77, 0.87) relatively lower following SUD psychotherapy and 26% (HR: 1.26, 95% CI: 1.15,1.39) higher following residential treatment.

CONCLUSIONS

Several services, including residential treatment, were associated with greater risk of subsequent buprenorphine discontinuation, whereas only SUD psychotherapy was consistently associated with lower risk of later discontinuation. These findings emphasize the need for future studies to increase understandings of beneficial and disruptive components of psychosocial services to improve treatment retention among patients receiving MOUD.

Predictors of treatment attrition among individuals in substance use disorder treatment: A machine learning approach

BACKGROUND

Early treatment discontinuation in substance use disorder treatment settings is common and often difficult to predict. We leveraged a machine learning approach (i.e., random forest) to identify individuals at risk for treatment attrition, and specific factors associated with treatment discontinuation.

METHOD

Participants (N = 29,809) were individuals ≥ 18 years who attended substance use disorder treatment facilities in the United States. Using random forest, we aimed to predict three outcomes (1) leaving against medical advice (AMA), (2) discharging involuntarily, and (3) discharging early for any reason. Predictors included participant demographics, substance use the month before and at intake, indices of mental and physical health, as well as treatment center and program type.

FINDINGS

We observed low to moderate area under the curve (range = 0.631-0.671), high negative predictive values (range = 0.853-0.965), and low positive predictive values (0.088-0.336) across the three treatment attrition outcomes. The most robust predictors of the three outcomes included treatment center, treatment type, and participant age. Additional predictors of the three outcomes included employment status; reason for treatment; primary drug at intake and frequency of use; prescription opioid, benzodiazepine, or heroin use at intake; living status at intake; and driving under the influence prior to treatment.

CONCLUSIONS

Our models were able to accurately identify individuals who remained in treatment, but not those who left treatment prematurely. The most robust predictors of treatment discontinuation were treatment center and program type, suggesting that targeting treatment facility features may have a significant impact on reducing treatment attrition and improving long-term recovery.

Patient and clinician experiences with the implementation of telemedicine and related adaptations in office-based buprenorphine treatment during the COVID-19 pandemic: a qualitative study

BACKGROUND

Deaths from opioid overdose have increased dramatically in the past decade. For individuals with opioid use disorder (OUD), agonist medications such as methadone and buprenorphine reduce opioid-related morbidity and mortality. Historically, the provision of buprenorphine treatment in office-based settings has relied on frequent in-person contact, likely influencing patients' access to and retention in care. In response to the COVID-19 pandemic, providers of office-based buprenorphine treatment rapidly adapted their care processes, increasingly relying on telemedicine visits. To date, relatively few prior studies have combined patient and clinician perspectives to examine the implementation of telemedicine and related care adaptations, particularly in safety-net settings.

METHODS

Qualitative methods were used to explore clinician and patient experiences with telemedicine in an office-based buprenorphine treatment clinic affiliated with an urban safety-net hospital. From this clinic, we conducted semi-structured interviews with 25 patients and 16 clinicians (including prescribers and non-prescribers). We coded all interview data and used a thematic analysis approach to understand how telemedicine impacted treatment quality and engagement in care, as well as preferences for using telemedicine moving forward.

RESULTS

Five themes regarding the implementation of telemedicine and other COVID-19-related care adaptations arose from patient and clinician perspectives: (1) telemedicine integration precipitated openness to more flexibility in care practices, (2) concerns regarding telemedicine-related adaptations centered around safety and accountability, (3) telemedicine encounters required rapport and trust between patients and clinicians to facilitate open communication, (4) safety-net patient populations experienced unique challenges when using telemedicine, particularly in terms of the technology required and the need for privacy, and (5) there is an important role for telemedicine in office-based buprenorphine treatment moving forward, primarily through its use in hybrid models of care which integrate both in-person and virtual visits.

CONCLUSIONS

Telemedicine implementation within office-based buprenorphine treatment has the potential to improve patients' engagement in care; however, our findings emphasize the need for tailored approaches to implementing telemedicine in office-based buprenorphine treatment, particularly within safety-net settings. Overall, this study supports the maintenance of changes to policy and practice that facilitate the use of telemedicine in office-based buprenorphine treatment beyond the COVID-19 public health emergency.

A randomized pilot trial of two forms of behavioral economics intervention to improve engagement in buprenorphine-naloxone treatment among patients with opioid use disorder

BACKGROUND

Buprenorphine-naloxone treatment engagement for those with opioid use disorder (OUD) is very low. The current randomized effectiveness trial piloted two psychosocial interventions developed to increase buprenorphine-naloxone treatment engagement in 44 individuals with opioid use disorder (OUD) recruited from an OUD treatment clinic.

METHODS

Participants were randomized to receive either variable-value contingency management (CM) or a brief substance free activities session plus mindfulness (BSM) cognitive-behavioral intervention at each of the first 4 return visits to the provider. The primary outcome was buprenorphine metabolite in urine and attendance at 2 or more of 4 possible physician visits.

RESULTS

Relatively high treatment engagement was observed over 16 weeks with no significant differences in effectiveness between the two intervention arms (p = 0.526). There was slightly better treatment engagement in the CM arm (73 % vs. 59 % engaged in CM and BSM arm, respectively), but this was not statistically significant with n = 22 participants in each group. Treatment engagement was significantly better for those who presented at the clinic with prior buprenorphine exposure: 19 (86 %) of the 22 participants with buprenorphine present in urine at baseline were engaged, whereas only 9 (43 %) out of 21 participants without buprenorphine present in urine at baseline were subsequently engaged (p = 0.004).

CONCLUSIONS

Results suggested that patients who are not taking buprenorphine at the start of a psychosocial intervention may require more intensive treatment engagementinterventions than those already taking medication. Satisfaction data were similarly high across the interventions, and qualitative items identified helpful intervention components.

Sex disparities in outcome of medication-assisted therapy of opioid use disorder: Nationally representative outpatient clinic data

QUESTION

The opioid epidemic causes massive morbidity, and males have substantially greater overdose mortality rates than females. It is unclear whether there are sex-related disparities at different stages in the trajectory of opioid use disorders (OUD), from large samples in the community.

GOAL

To determine sex disparities in non-medical opioid use (NMOU) at the end of treatment with medications for opioid use disorder (MOUD), using national data.

DESIGN

Observational study of outpatient MOUD programs in the "Treatment episode data set-discharges" (TEDS-D) for 2019.

PARTICIPANTS

Persons aged ≥ 18 in their first treatment episode, in outpatient MOUD-based therapy for heroin or other opioids (N = 10,065). The binary outcome was presence/absence of NMOU in the month prior to discharge.

RESULTS

In univariate analyses, males had higher odds of NMOU compared to females (odds ratio=1.22; p = 6.84 ×10-5 after Bonferroni correction). A multivariable logistic regression detected a relatively small male>female odds ratio of 1.14 (p = 0.0039), surviving adjustment for demographic variables and social determinants of health. Several specific conditions were revealed in which males had greater odds of NMOU compared to females (e.g., if they were in the white racial category, and were not of hispanic ethnicity). Also, using by smoking, inhalation or injection routes (versus oral) was associated with greater odds of NMOU, irrespective of sex.

CONCLUSIONS

This national community sample shows that males overall have greater odds of NMOU in their first treatment episode with MOUD, a potential indicator of more unfavorable outcomes. Further analyses should examine the underpinnings of this disparity, including clinical severity features.

Study Protocol for Pain Self-Management and Patient-Oriented Buprenorphine Dosing for Pain and Retention in Office-Based Opioid Treatment: A Hybrid Type 1, 2 × 2 Factorial Randomized Controlled Trial

Chronic pain is a significant factor for patients with opioid use disorder (OUD) contributing to suboptimal retention in buprenorphine treatment, which is a crucial predictor of long-term health outcomes. This study aims to address the critical need for effective interventions targeting chronic pain management within office-based opioid treatment (OBOT) programs. We are conducting a multisite, hybrid type 1, 2 × 2 factorial randomized clinical trial to determine the effectiveness of 2 novel interventions, pain self-management (PSM) and patient-oriented buprenorphine dosing (POD), to decrease pain interference and improve retention in buprenorphine treatment. PSM, a manualized and customizable approach delivered through individual and peer-led group sessions, aims to decrease pain-related symptoms and quality of life. POD involves split dosing of buprenorphine to extend the duration of analgesia to better match its duration of efficacy at managing OUD symptoms, leading to improved retention in buprenorphine treatment. Eligible participants will be randomized into 1 of 4 groups: (1) PSM + POD, (2) PSM + Standard Buprenorphine Dosing, (3) Usual Care + POD, or (4) Usual Care + Standard Buprenorphine Dosing. Usual Care refers to usual care for chronic pain and Standard Buprenorphine Dosing refers to the participant's current dosing regimen. Secondary objectives encompass overall pain reduction, decreased opioid use, improved pain symptom management, and exploration of implementation strategies. The supplemental approved protocol provides comprehensive insights into the procedures and variables being investigated. As part of the HEAL Initiative®-funded Integrative Management of Chronic Pain and OUD for Whole Recovery (IMPOWR) network, this study aims to fill gaps in behavioral and medication treatments for individuals with co-occurring chronic pain and OUDs, improving pain management and retention in care. Successful outcomes from this trial may inform future larger trials, offering essential evidence for implementation considerations and reimbursement decisions.

The Impact of COVID-19 on Substance Use and Related Consequences Among Patients in Office-based Opioid Use Disorder Treatment

OBJECTIVES

The COVID-19 pandemic led to increased substance-related morbidity and mortality and transformed care for opioid use disorder (OUD). We assessed the perceived impacts of the pandemic on substance use and related consequences among patients in office-based addiction treatment (OBAT).

METHODS

We recruited patients with OUD on buprenorphine from July 2021 to July 2022, with data collection at baseline and 6 months. Exposures of interest were the following 6 domains potentially impacted by COVID-19: personal or family infection, difficulty accessing healthcare/medication, economic stressors, worsening physical or mental health, social isolation, and conflicts/disruptions in the home. Outcomes were past 30-day alcohol and other substance use, increased use, and substance-related consequences at baseline and 6 months. Generalized estimating equations Poisson regression models quantified associations between increasing impact domain scores and relative risks of each outcome.

RESULTS

All participants (N = 150) reported at least one domain negatively impacted by COVID-19 at both time points. Higher "worsening physical or mental health" domain scores were associated with increased relative risk of recent alcohol or drug use (adjusted risk ratio [aRR] 1.04, 95% confidence interval [CI]: 1.01-1.07). Relative risks of experiencing substance-related consequences increased with higher scores in the domains of economic stressors (aRR 1.07, 95% CI: 1.02-1.13), difficulty accessing healthcare/medication (aRR 1.11, 95% CI: 1.04-1.19), and worsening physical or mental health (aRR 1.08, 95% CI: 1.04-1.12).

CONCLUSIONS

Among patients with OUD, stressors from COVID-19 were common. Three life domains impacted by COVID-19 appeared to be associated with consequential substance use, highlighting opportunities to address barriers to healthcare access and economic stressors.

Medications for opioid use disorder: Predictors of early discontinuation and reduction of overdose risk in US military veterans by medication type

AIM

This study: (1) estimated the effect of early discontinuation of medication for opioid use disorder (MOUD) on overdose probability and (2) measured the relationship between patient characteristics and early discontinuation probability for each MOUD type.

DESIGN, SETTING AND PARTICIPANTS

This was a retrospective cohort using electronic health record data from the US Veterans Healthcare Administration. Participants were veterans initiating MOUD with buprenorphine (BUP), methadone (MET) or extended-release naltrexone (XR-NTX) from fiscal years 2012-19. A total of 39 284 veterans met eligibility with 22 721 (57.8%) initiating BUP, 12 652 (32.2%) initiating MET and 3911 (10.0%) initiating XR-NTX.

MEASUREMENTS

Measurements (1) determined whether the veteran experienced an overdose in the 365 days after MOUD initiation (primary) and (2) early discontinuation of MOUD, defined as discontinuation before 180 days (secondary). We assumed that unobserved patient characteristics would jointly influence the probability of discontinuation and overdose. and estimated the joint distribution with a bivariate probit model.

FINDINGS

We found that 9.0% of BUP initiators who experienced an overdose above the predicted 3.9% had no veteran-discontinued BUP early; findings for XR-NTX were similar, with 12.2% of initiators overdosing above the predicted 4.5%, but this was statistically inconclusive. We found no relationship between early discontinuation and overdose for MET initiators, probably due to the high risk of both events. The patient characteristics included in our post-estimation exploratory analysis of early discontinuation varied by MOUD type, with between 14 (XR-NTX) and 25 (BUP) tested. The only characteristics with at least one level showing a statistically significant change in probability of early discontinuation for all three MOUD types were geography and prior-year exposure to psychotherapy, although direction and magnitude varied.

CONCLUSION

Early discontinuation of buprenorphine, and probably extended-release naltrexone, appears to be associated with a greater probability of experiencing a fatal or non-fatal overdose among US veterans receiving medication for opioid use disorder (MOUD); methadone does not show the same association. There is no consistent set of characteristics among early discontinuers by MOUD type.

10-year retention of a comprehensive treatment model of buprenorphine for opioid use disorder

BACKGROUND

There has been extensive research demonstrating the effectiveness of medications for opioid use disorder (MOUD) but limited investigation into its long-term retention rate.

OBJECTIVE

Assess the long-term treatment retention of a buprenorphine-based MOUD clinic with additional stratifications by age and gender.

METHODS

This retrospective study analyzed 10-years of data from a MOUD clinic in West Virginia that served 3,255 unique patients during the study period (2009-2019). Retention was measured by summation of total treatment days with a new episode of care defined as re-initiating buprenorphine treatment after 60+ consecutive days of nonattendance. Kaplan-Meier survival analysis, with the log-rank test, was used to compare retention by gender and age.

RESULTS

The mean age was 38 (SD = 10.6) and 95% were non-Hispanic white. Irrespective of treatment episode, 56.8% of patients were retained ≥ 90 days, and the overall median time in treatment was 112 days. Considering only the first treatment episode, 48.4% of 3,255 patients were retained at least 90 days and the overall median was 77 days. Female patients had a ≥ 90 day retention rate of 52.2% for the first admission and 60.1% for multiple admissions, both significantly higher than those of male subjects (44.1% and 53.0%). Additionally, patients ≤ 24 years old had the lowest rate of treatment retention, while patients aged ≥ 35 had the highest.

CONCLUSIONS

This study adds to the limited data regarding long-term retention in MOUD. Our findings indicate gender and age were highly correlated with retention in MOUD treatment.

Patient outcomes following buprenorphine treatment for opioid use disorder: A retrospective analysis of the influence of patient- and prescriber-level characteristics in Massachusetts, USA

BACKGROUND AND AIMS

Opioid use disorder (OUD) is treatable with buprenorphine/naloxone (buprenorphine), but many patients discontinue treatment prematurely. The aim of this study was to assess the influence of patient- and prescriber-level characteristics relative to several patient outcomes following the initiation of buprenorphine treatment for OUD.

DESIGN

This was a retrospective observational investigation. We used the Public Health Data Warehouse from the Massachusetts Department of Public Health to construct a sample of patients who initiated buprenorphine treatment between 2015 and 2019. We attributed each patient to a prescriber based on information from prescription claims. We used multilevel models to assess the influence of patient- and prescriber-level characteristics on each outcome.

SETTING

Massachusetts, USA.

PARTICIPANTS

The study cohort comprised 37 955 unique patients and 2146 prescribers. Among patients, 64.6% were male, 52.6% were under the age of 35 and 82.2% were White, non-Hispanic. For insurance coverage, 72.1% had Medicaid.

MEASUREMENTS

The outcome measures were poor medication continuity, treatment discontinuation and opioid overdose, all assessed within a 12-month follow-up period that began with a focal prescription for buprenorphine. Each patient had a single follow-up period. Poor medication continuity was defined as medication gaps totaling more than 7 days during the initial 180 days of buprenorphine treatment and treatment discontinuation was defined as having a medication gap for 2 consecutive months within the 12-month follow-up period.

FINDINGS

The patient-level rates for poor medication continuity, treatment discontinuation and opioid overdose were 59.7% [95% confidence interval (CI) = 59.2-60.2], 57.4% (95% CI = 56.9-57.9) and 10.3% (95% CI = 10.0-10.6), respectively, with 1.1% (95% CI = 1.0-1.2) experiencing a fatal opioid overdose. At the patient level, after adjustment for covariates, adverse outcomes were associated with race/ethnicity as both Black, non-Hispanic and Hispanic patients had worse outcomes than did White, non-Hispanic patients (Black, non-Hispanic -- poor continuity: 1.50, 95% CI = 1.34-1.68; discontinuation: 1.44, 95% CI = 1.30-1.60; Hispanic -- poor continuity: 1.21, 95% CI = 1.12-1.31; discontinuation: 1.38, 95% CI = 1.28-1.48). Patients with insurance coverage through Medicaid also had worse outcomes than those with commercial insurance (poor continuity: 1.18, 95% CI = 1.11-1.26; discontinuation: 1.09, 95% CI = 1.03-1.16; overdose: 1.98, 95% CI = 1.75-2.23). Pre-treatment mental health conditions and other types of chronic illness were also associated with worse outcomes (History of mental health conditions -- poor continuity: 1.11, 95% CI = 1.06-1.17; discontinuation: 1.05, CI = 1.01-1.10; overdose: 1.47, 95% CI = 1.36-1.60; Chronic health conditions -- poor continuity: 1.15, 95% CI = 1.05-1.27; discontinuation: 1.15, 95% CI = 1.05-1.26; overdose: 1.83, 95% CI = 1.60-2.10; History of substance use disorder other than for opioids -- poor continuity: 1.54, 95% CI = 1.46-1.62; discontinuation: 1.54, 95% CI = 1.47-1.62; overdose: 1.93, 95% CI = 1.80-2.07). At the prescriber level, after adjustments for covariates, adverse outcomes were associated with clinical training, as primary care physicians had higher rates of adverse outcomes than psychiatrists (poor continuity: 1.12, 95% CI = 1.02-1.23; discontinuation: 1.04, 95% CI = 1.01-1.09). A larger prescriber panel size, based on number of patients being prescribed buprenorphine, was also associated with higher rates of adverse outcomes (poor continuity: 1.36, 95% CI = 1.27-1.46; discontinuation: 1.21, 95% CI = 1.14-1.28; overdose: 1.10, 95% CI = 1.01-1.19). Between 9% and 15% of the variation among patients for the outcomes was accounted for at the prescriber level.

CONCLUSIONS

Patient- and prescriber-level characteristics appear to be associated with patient outcomes following buprenorphine treatment for opioid use disorder. In particular, patients' race/ethnicity and insurance coverage appear to be associated with substantial disparities in outcomes, and prescriber characteristics appear to be most closely associated with medication continuity during early treatment.

Organization of primary care and early MOUD discontinuation

Primary care clinic structures and operations may influence early MOUD discontinuation. Flexible scheduling can improve early MOUD retention but must be balanced with clinic efficiency. Multidisciplinary teams can improve retention but require additional resources. Addressing comorbid pain and polydrug use early in the treatment process can help prevent MOUD discontinuation.

Smartphone App-Based Contingency Management and Opioid Use Disorder Treatment Outcomes

Importance

Opioid use disorder continues to be a national crisis, contributing to substantial morbidity and mortality. Medication is the only evidence-based treatment for opioid use disorder; however, improving clinical outcomes may require augmenting it with psychosocial interventions, such as contingency management (CM), specifically, smartphone app-based CM.

Objective

To evaluate whether augmenting medication for opioid use disorder (MOUD) with app-based CM is associated with fewer days of opioid use at the end of treatment and greater retention than treatment with MOUD only.

Design, Setting, and Participants

This retrospective cohort study used data from November 1, 2020, to November 30, 2023, collected from opioid treatment programs and office-based opioid treatment programs across Texas. The cohort included individuals aged 18 years or older who were uninsured or underinsured and who chose to receive MOUD only or MOUD plus CM delivered via the WEconnect smartphone app. Participants who chose to receive app-based CM received monetary incentives upon achieving their self-chosen recovery goals.

Exposure

Opioid use disorder.

Main Outcomes and Measures

Primary analyses examined differences in treatment outcomes (self-reported days of opioid use at the end of treatment and retention) between patients who chose MOUD only and those who chose MOUD plus app-based CM. Linear regression analysis was used to examine days of opioid use at the end of treatment, and Cox proportional hazards regression analysis was used to examine retention.

Results

The analytic sample comprised 600 individuals (mean [SD] age, 38.4 [8.6] years; 342 male [57.0%]), with 300 included in each treatment group. Those who chose to receive MOUD plus app-based CM reported significantly fewer days of opioid use at the end of treatment compared with those who chose to receive MOUD only (mean [SD] duration, 8.4 [12.9] vs 12.0 [13.5] days; β = -6.10; 95% CI, -8.09 to -4.10). Retention analysis showed that patients who chose to receive MOUD plus app-based CM were significantly more likely to stay in treatment longer compared with those who chose to receive MOUD only (mean [SD] duration, 290.2 [109.4] vs 236.1 [128.1] days; β = 51.91; 95% CI, 33.86 to 69.95).

Conclusions and Relevance

These findings suggest that augmenting MOUD with app-based CM may provide clinical benefits for underserved patients. Expanding the availability of app-based CM may contribute to decreasing the societal, economic, and personal burden of opioid use.

Pain, Substance Use Disorders, Mental Health, and Buprenorphine Treatment among Patients With and Without HIV

Treatment of opioid use disorder (OUD) with buprenorphine improves outcomes and mortality among people with HIV (PWH). However, engagement is low and is influenced by comorbidities. We examined the impact of patterns of co-occurring pain, substance use disorders (SUDs), and mental health diagnoses on buprenorphine initiation and retention in PWH. The Veterans Aging Cohort Study contained 7,875 patients (2,702 PWH and 5,173 without HIV) with new OUD clinical encounters (2008-2017). Buprenorphine initiation and retention were derived from prescription data. We identified patterns of co-occurring diagnoses (via ICD codes) and assessed the effects of class membership on both outcomes using latent class analysis and regression analyses. The mean age of patients was 55, 98% were male, 58% Black, 8% Hispanic, and only 8% initiated buprenorphine within 12 months of OUD diagnosis. Four classes of co-occurring diagnoses were identified: "Few Co-occurring Diagnoses" (42.3%); "Multiple Pain Conditions" (21.3%); "Pain + SUD" (18.4%) and "Pain + SUD + Mental Health" (18.0%). Patients in the "Pain + SUD" class and "Pain + SUD + Mental Health" class were significantly less likely to initiate buprenorphine and had 59% and 45% lower odds, respectively, of initiating buprenorphine compared with patients in the "Few Co-occurring Diagnoses" class; this effect did not vary by HIV status. Buprenorphine retention was not significantly associated with HIV status or class membership. However, Black Veterans were less likely to initiate or be retained in buprenorphine treatment. Higher comorbidity burden was negatively associated with buprenorphine initiation but not with retention. More research is warranted to determine other factors that may influence treatment retention.

Does implementation of office based addiction treatment by a nurse care manager increase the duration of OUD treatment in primary care? A secondary analysis of the PROUD randomized control trial

BACKGROUND

Implementation of office-based addiction treatment (OBAT) by nurse care managers increases overall use of OUD medication, but it is unknown whether it increases treatment duration among treated patients.

METHODS

The Primary Care Opioid Use Disorders Treatment (PROUD) trial was a pragmatic, cluster-randomized trial testing whether implementation of OBAT increased OUD treatment in 12 primary care clinics in 6 systems. One of 2 clinics per system was randomized to implement OBAT (intervention), the other, usual care (UC). We evaluated treatment duration for the 3 years after nurses began seeing patients at clinics randomized to intervention vs. UC. The primary sample included patients newly initiating OUD medication; the secondary sample included patients with ongoing OUD medication. The primary outcome was percentage of days with OUD medications after treatment initiation, modeled using linear generalized estimating equations (GEE). Modified Poisson GEE models assessed secondary outcomes (≥80 % of days covered, ≥6 months on treatment).

RESULTS

In adjusted analyses, the mean difference between intervention and UC in percent days treated was 6.3 % (95 % CI -9.6 %, 22.1 %) in the primary sample and 2.3 % (95 % CI -36.4 %, 31.8 %) in the secondary sample. There was no significant difference in treatment duration between intervention and UC patients in either primary or secondary outcomes.

CONCLUSIONS

Implementation of OBAT in this trial did not measurably increase duration of medication treatment among those treated for OUD compared to UC, suggesting that benefits of OBAT, at least in this trial, largely reflect increases in treatment access.

Statewide Trends in Medications for Opioid Use Disorder Utilization in Rhode Island, United States, 2017-2023

BACKGROUND

Buprenorphine and methadone are US Food and Drug Administration-approved medications for opioid use disorder (MOUD). Although utilization of MOUD was increasing pre-COVID-19, it is not well understood how this trend shifted during and "after" the COVID-19 pandemic in Rhode Island. This analysis will consider the differential utilization of MOUD over time and by key demographic factors.

METHODS

We utilized two of Rhode Island's statewide databases to examine aggregate counts of dispensed buprenorphine and methadone from January 1, 2017, to December 31, 2023. Data were stratified by age group, sex assigned at birth, and race/ethnicity (where available). Counts were stratified into pre-COVID-19 (Q1 2017-Q1 2020), COVID-19 (Q2 2020-Q4 2022), and endemic COVID-19 (2023) eras. Averages and annualized percent change for each period were calculated to understand how utilization changed over time.

RESULTS

Before COVID-19, buprenorphine and methadone utilization were increasing annually. During COVID-19, utilization declined annually by 0.40% and 0.43%, respectively. In the endemic COVID-19 time period, buprenorphine and methadone utilization declined more rapidly at 2.59% and 1.77%, respectively. Declines were more dramatic for adults aged 18-34.

CONCLUSIONS

We observed a decline in MOUD utilization during and after COVID-19 in Rhode Island, primarily driven by substantial decreases in MOUD use among the youngest group of adult residents. Interventions specifically tailored to youth, such as school-based or primary healthcare-based programs, may be particularly effective in engaging with youth in substance use disorder treatment.

Adapting a Behavioral Activation Intervention for Opioid Use Disorder and Methadone Treatment Retention for Peer Delivery in a Low-Resource Setting: A Case Series

While methadone treatment (MT) is effective in treating opioid use disorder (OUD), retention remains an issue nationwide, especially among low-income, minoritized populations. Peer recovery specialists (PRSs), individuals with lived substance use experience, are particularly well suited to support vulnerable populations, though often are not trained in delivering evidence-based interventions. Thus, our team developed a Type 1 hybrid effectiveness-implementation open-label pilot trial to evaluate the effectiveness of PRS-delivered BA (Peer Activate) in improving MT retention and establish feasibility, acceptability and PRS fidelity of the intervention. In this case series, we provide a more in-depth depiction of the adaption of Peer Activate and present three cases to illustrate how Peer Activate can be implemented among patients in routine MT care and adapted to meet the needs of varying clinical presentations. We include descriptive data on participant substance use and MT outcomes to supplement the narrative discussion. While varying participant presentations and needs presented challenges to the PRS interventionist, the PRS utilized his shared, lived substance use and recovery experiences and met participants where they were at, as well as successfully used BA techniques, ultimately leading to intervention success.

Multilevel Factors Impacting Substance Use Treatment Access, Engagement, and Racial Equity Among Opioid Overdose Survivors in Boston, MA

BACKGROUND

There are well-documented racial/ethnic inequities in drug-related overdoses and access to evidence-based opioid use services nationally and in Boston, MA.

OBJECTIVE

To qualitatively explore the drivers of racial/ethnic inequities in access to opioid use disorder treatment and services in Boston.

DESIGN

Semi-structured qualitative interviews.

PARTICIPANTS

Using purposive sampling, researchers recruited 59 opioid overdose survivors in Boston who self-identified as Black, Hispanic or Latino/a/x, and/or White.

APPROACH

Interviewers administered a socio-demographic and drug use survey, and used a semi-structured interview guide to explore experiences with and perspectives on substance use treatment and services.

KEY RESULTS

Participants' racial/ethnic identities were distributed across three subgroups: non-Hispanic Black (n = 18; 31%), non-Hispanic White (n = 18; 31%), and Latino/a/x (n = 23; 39%). Qualitative analysis identified multiple themes that were organized into four social-ecological levels after analysis. At the individual level, some participants emphasized the importance of personal responsibility and individual motivation in determining access to services. Participants expressed a range of perspectives about using medication for opioid use disorder treatment; Black and Latino/a/x participants were more likely than White participants to have critical perspectives. At the interpersonal level, experiences of bias, stigma, and racism from staff in healthcare and treatment settings were common. At the program/process level, participants described challenges connecting to services following overdose and barriers within specific programs, with Black and Latino/a/x participants experiencing particular gaps. At the systems level, the limited availability of housing, employment, and mental health care negatively impacted treatment access and engagement.

CONCLUSION

A racism lens was used during data interpretation to apply the themes at a broader population level. Through this lens, the identified barriers can be understood to have a disproportionate impact on people of color. Findings call for programmatic and policy solutions that address racism, break down stigma, and ensure equitable access to evidence-based services and social supports.

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.

Composition of buprenorphine prescribing networks in Medicaid and association with quality of care

INTRODUCTION

Despite Medicaid's outsized role in delivering and financing medications for opioid use disorder (MOUD), little is known about the extent to which buprenorphine prescriber networks vary across Medicaid health plans, and whether network characteristics affect quality of treatment received. In this observational cross-sectional study, we used 2018-2019 Medicaid claims in Oregon to assess network variation in the numbers and types of buprenorphine prescribers, as well as the association of prescriber and network characteristics with quality of care.

METHODS

We describe prescribers (MD/DOs and advanced practice providers) of OUD-approved buprenorphine formulations to patients with an OUD diagnosis, across networks. For each patient who initiated buprenorphine treatment during 2018, we assigned a "usual prescriber" and assessed four measures of quality in the 180d following initiation: 1) continuous receipt of buprenorphine; 2) receipt of any behavioral health counseling services; 3) receipt of any urine drug screen; and 4) receipt of any prescription for a benzodiazepine. We used multivariable linear regressions to examine the association of prescriber and network characteristics with quality of buprenorphine care following initiation.

RESULTS

We identified 645 providers who prescribed buprenorphine to 20,739 eligible Medicaid enrollees with an OUD diagnosis. The composition of buprenorphine prescriber networks varied in terms of licensing type, specialty, and panel size, with the majority of prescribers providing buprenorphine to small panels of patients. In the 180 days following initiation, a third of patients were maintained on buprenorphine; 69.9 % received behavioral health counseling; 88.4 % had a urine drug screen; and 11.3 % received a benzodiazepine prescription. In regression analyses, while no single network characteristic was associated with higher quality across all examined measures, each one unit increase in prescriber-to-enrollee ratio was associated with a 1.18 p.p. increase in the probability of continuous buprenorphine maintenance during the 180 days following initiation (95 % confidence interval = [0.21, 2.15], p = 0.017).

CONCLUSIONS

Medicaid plans may be able to leverage their networks to provide higher quality care. Our findings, which should be interpreted as descriptive only, suggest that higher prescriber-to-enrollee ratio is associated with increased buprenorphine maintenance. Future research should focus on isolating the causal relationships between MOUD prescribing network design and patient outcomes.

Patients' Perspectives on Discontinuing Buprenorphine for the Treatment of Opioid Use Disorder

OBJECTIVES

Buprenorphine and other medications for opioid use disorder (OUD) are recommended as standard of care in the treatment of OUD and are associated with positive health and addiction-related outcomes. Despite benefits, discontinuation is common, with half of patients discontinuing in the first year of treatment. Addressing OUD is a major clinical priority, yet little is known about the causes of medication discontinuation from the patient perspective.

METHODS

From March 2021 to April 2022, we conducted qualitative interviews with patients who had discontinued buprenorphine for the treatment of OUD within the past 12 months. Eligible participants were selected from 2 Veterans Health Administration Health Care Systems in Oregon. Coding and analysis were guided by conventional qualitative content analysis.

RESULTS

Twenty participants completed an interview; 90% were White and 90% were male, and the mean age was 54.2 years. Before discontinuation, participants had received buprenorphine for 8.3 months on average (range, 1-40 months); 80% had received buprenorphine for less than 12 months. Qualitative analysis identified the following themes relating to discontinuation: health system barriers (eg, logistical hurdles, rules and policy violations), medication effects (adverse effects; attributed adverse effects, lack of efficacy in treating chronic pain) and desire for opioid use. Patient description of decisions to discontinue buprenorphine could be multicausal, reflecting provider or system-level barriers in interaction with patient complexity or medication ambivalence.

CONCLUSIONS

Study results identify several actionable ways OUD treatment could be modified to enhance patient retention.

Barriers to retention in medications for opioid use disorder treatment in real-world practice

BACKGROUND

Medications for Opioid Use Disorder (MOUD) are an effective method to treat persons with opioid use disorder (OUD). Longer treatment times are associated with better health outcomes, yet treatment retention rates remain low. This study aimed to assess patient characteristics and experiences associated with retention in treatment.

METHODS

Data were from an observational cohort study of OUD treatments. Among persons receiving buprenorphine or methadone, log-binomial regression models assessed the relationship between patient characteristics and experiences and three retention outcomes: retention in any OUD treatment, retention in the index treatment (OUD treatment being administered at the time when patients were screened for study eligibility), and 6-month retention in the index treatment.

RESULTS

Individuals being treated with methadone at the start of the study compared to those treated with buprenorphine were more likely to remain in their same index treatment at the 18-month follow-up (aPR = 1.35; 95 % CI = 1.11-1.65), and to have remained on their index treatment for 6-months or longer (aPR = 1.22; 95 % CI = 1.14-1.32), but were not significantly more likely to remain in any OUD treatment overall. Individuals residing five miles or less from treatment were more likely to have been retained in any OUD treatment (aPR = 1.06; 95 % CI = 1.00-1.12), to remain in their index treatment at the 18-month follow-up (aPR = 1.21; 95 % CI = 1.08-1.36), and to have remained in their index treatment for 6 months or more (aPR = 1.08; 95 % CI = 1.02-1.13). Individuals without health insurance were less likely to be retained in any OUD treatment (aPR = 0.86; 95 % CI = 0.78-0.95).

CONCLUSION

The prevalence of retention in any OUD treatment was higher for individuals residing five miles or less from treatment. These findings expand on previous studies that have shown distance to and location of treatment sites can impact treatment access and retention. Lack of health insurance was also associated with lower retention in any OUD treatment in this study. Given the high burden associated with overdose deaths, it is important to understand and address barriers to retention in treatment.

96-week retention in treatment with extended-release subcutaneous buprenorphine depot injections among people with opioid dependence: Extended follow-up after a single-arm trial

BACKGROUND

The most recent formulation of buprenorphine treatment is extended-release depot injections (BUP-XR) that are administered subcutaneously by health care professionals. This study aimed to observe treatment outcomes of BUP-XR delivered in standard practice during a 96-week follow-up period in a community setting.

METHODS

This study is an extension of the CoLAB study, a prospective single-arm, multicentre, open label trial (N=100, 7 sites in Australia) among people with opioid dependence who received monthly injections of BUP-XR to evaluate the retention in treatment. Participants were followed for 96 weeks, comprising 48 weeks of the CoLAB study followed by a 48-week extension.

RESULTS

Of 100 participants at baseline, 47 were retained on BUP-XR at 96 weeks. The median time retained on monthly depot was 90 weeks. Heroin use (adjusted OR=0.19, P=0.012) in the month prior to baseline was associated with lower odds of retention on BUP-XR. Older age at first opioid use (adjusted OR= 1.08, P=0.009) and longer duration in OAT at baseline (adjusted OR= 1.12, P=0.001) were associated with increased retention. Prevalence of past four-weeks opioid use was estimated at 4% at 96 weeks of treatment (prevalence 0.04, 95%CI: 0.00-0.11) compared to 15% at baseline. Quality of life and medication treatment satisfaction improved over time for those retained in treatment.

CONCLUSION

This is one of the few studies to describe long term (96 week) retention in treatment with BUP-XR in a community setting. It displayed retention rates with 47% of participants completing 96 weeks of treatment with BUP-XR. Patient reported outcomes suggest improvements in client wellbeing.

FUNDING

Indivior.

Patient and Clinician Experiences with the Implementation of Telemedicine and Related Adaptations in Office-Based Buprenorphine Treatment During the COVID-19 Pandemic: A Qualitative Study

Background

Deaths from opioid overdose have increased dramatically in the past decade, representing an epidemic in the United States. For individuals with opioid use disorder (OUD), agonist medications such as methadone and buprenorphine reduce opioid-related morbidity and mortality. Historically, the provision of buprenorphine treatment in office-based settings has relied on frequent in-person contact, likely influencing patients' access to and retention in care. In response to the COVID-19 pandemic, providers of office-based buprenorphine treatment rapidly adapted their care processes, increasingly relying on telemedicine visits. To date, relatively few prior studies have combined patient and clinician perspectives to examine the implementation of telemedicine and related care adaptations, particularly in safety-net settings.

Methods

Qualitative methods were used to explore clinician and patient experiences with telemedicine in an office-based buprenorphine treatment clinic affiliated with an urban safety-net hospital. From this clinic, we interviewed 25 patients and 16 clinicians (including prescribers and non-prescribers) to understand how telemedicine impacted treatment quality and engagement in care, as well as preferences for using telemedicine moving forward.

Results

Five themes regarding the implementation of telemedicine and other COVID-19-related care adaptations arose from patient and clinician perspectives: 1) telemedicine integration precipitated openness to more flexibility in care practices, 2) concerns regarding telemedicine-related adaptations centered around safety and accountability, 3) telemedicine encounters required rapport and trust between patients and clinicians to facilitate open communication, 4) safety-net patient populations experienced unique challenges when using telemedicine, particularly in terms of the technology required and the need for privacy, and 5) there is an important role for telemedicine in office-based buprenorphine treatment moving forward, primarily through its use in hybrid models of care.

Conclusions

Telemedicine implementation within office-based buprenorphine treatment has the potential to improve patients' engagement in care; however, our findings emphasize the need for tailored approaches to implementing telemedicine in office-based buprenorphine treatment, particularly within safety-net settings. Overall, this study supports the maintenance of changes to policy and practice that facilitate the use of telemedicine in office-based buprenorphine treatment beyond the COVID-19 public health emergency.

Nine-year substance use treatment outcomes with buprenorphine for opioid use disorder in a federally qualified health center

BACKGROUND

Prescribing medication for opioid use disorder (MOUD) in primary care helps meet treatment demand, but few studies examine long-term treatment retention among medically-underserved primary care patients.

METHODS

This 9-year retrospective study assessed overall retention at 6 months, and yearly up to 9 years, among 1451 patients with at least 6 months of buprenorphine prescription data from a federally-qualified health center (FQHC). We also examined whether patients who had gaps in treatment (>14 days without medication) later returned to care. Associations with treatment retention over total time in care were assessed.

RESULTS

On average, patients received buprenorphine treatment for 2.26 years. Among patients who experienced gaps in treatment but returned to care within 90 days, 64% were still receiving buprenorphine at six months (n=930 of 1451), and 70% (n =118 of 169) at 9 years, with an average yearly interval retention of 69% (range: 58-74%). Patients were on MOUD treatment and not in a gap about 81% of the time, and averaged 1.0 gap per patient per year (SD: 1.09; range 0-7.87). The mean gap length over the treatment period was 33.16 days. Older age, higher percentages of negative opioid tests, negative cocaine tests, and positive buprenorphine tests, and having diabetes were associated with longer treatment retention.

CONCLUSIONS

Opioid use disorder (OUD) can be treated successfully in primary care FQHCs. Treatment gaps are common and reflect the chronic relapsing nature of OUD.

Low-dose buprenorphine initiation and treatment continuation among hospitalized patients with opioid dependence: A retrospective cohort study

BACKGROUND

Buprenorphine is an effective treatment for both opioid use disorder (OUD) and chronic pain, but buprenorphine's pharmacology complicates treatment initiation for some patients. Low-dose buprenorphine initiation is a novel strategy that may reduce precipitated withdrawal. Few studies describe what patient populations benefit most from low-dose initiations and the clinical parameters that impact treatment continuation. This study aimed to 1) describe experiences with low-dose buprenorphine initiation, including both successes and failures among hospitalized patients in an urban underserved community; 2) identify patient- and treatment-related characteristics associated with unsuccessful initiation and treatment discontinuation; and 3) assess buprenorphine treatment continuation after discharge.

METHODS

This is a retrospective cohort study with opioid-dependent (meaning OUD or receiving long-term opioid therapy for chronic pain) patients who underwent low-dose buprenorphine initiation during hospital admission from October 2021 through April 2022. The primary outcome was successful completion of low-dose initiation. Bivariate analysis identified patient- and treatment-related factors associated with unsuccessful initiation. Secondary outcomes were buprenorphine treatment discontinuation at post-discharge follow-up, 30- and 90-days.

RESULTS

Of 28 patients who underwent low-dose buprenorphine initiation, 68 % successfully completed initiation. Unsuccessful initiation was associated with receipt of methadone during admission and higher morphine milligram equivalents (MME) of supplemental opioids. Of 22 patients with OUD, the percent receiving a buprenorphine prescription at a follow-up visit, 30 days, and 90 days, respectively, was 46 %, 36 %, and 36 %. Of 6 patients with chronic pain, the percent receiving a buprenorphine prescription at a follow-up visit, 30 days, and 90 days, respectively, was 100 %, 100 %, and 83 %.

CONCLUSION

Low-dose buprenorphine initiation can be successful in opioid-dependent hospitalized patients. Patients taking methadone or requiring higher MME of supplemental opioids may have more difficulty with the low-dose buprenorphine initiation approach, but these findings should be replicated in larger studies. This study suggests patient- and treatment-related factors that clinicians could consider when determining the optimal treatment strategy for patients wishing to transition to buprenorphine.

Identifying the Heterogeneity in the Association between Workforce Diversity and Retention in Opioid Treatment among Black clients

Background

This study investigates the impact of workforce diversity, specifically staff identified as Black/African American, on retention in opioid use disorder (OUD) treatment, aiming to enhance patient outcomes. Employing a novel machine learning technique known as 'causal forest,' we explore heterogeneous treatment effects on retention.

Methods

We relied on four waves of the National Drug Abuse Treatment System Survey (NDATSS), a nationally representative longitudinal dataset of treatment programs. We analyzed OUD program data from the years 2000, 2005, 2014 and 2017 (n = 627). Employing the 'causal forest' method, we analyzed the heterogeneity in the relationship between workforce diversity and retention in OUD treatment. Interviews with program directors and clinical supervisors provided the data for this study.

Results

The results reveal diversity-related variations in the association with retention across 61 out of 627 OUD treatment programs (less than 10%). These programs, associated with positive impacts of workforce diversity, were more likely private-for-profit, newer, had lower percentages of Black and Latino clients, lower staff-to-client ratios, higher proportions of staff with graduate degrees, and lower percentages of unemployed clients.

Conclusions

While workforce diversity is crucial, our findings underscore that it alone is insufficient for improving retention in addiction health services research. Programs with characteristics typically linked to positive outcomes are better positioned to maximize the benefits of a diverse workforce in client retention. This research has implications for policy and program design, guiding decisions on resource allocation and workforce diversity to enhance retention rates among Black clients with OUDs.

Medical and genetic correlates of long-term buprenorphine treatment in the electronic health records

Despite the benefits associated with longer buprenorphine treatment duration (i.e., >180 days) (BTD) for opioid use disorder (OUD), retention remains poor. Research on the impact of co-occurring psychiatric issues on BTD has yielded mixed results. It is also unknown whether the genetic risk in the form of polygenic scores (PGS) for OUD and other comorbid conditions, including problematic alcohol use (PAU) are associated with BTD. We tested the association between somatic and psychiatric comorbidities and long BTD and determined whether PGS for OUD-related conditions was associated with BTD. The study included 6686 individuals with a buprenorphine prescription that lasted for less than 6 months (short-BTD) and 1282 individuals with a buprenorphine prescription that lasted for at least 6 months (long-BTD). Recorded diagnosis of substance addiction and disorders (Odds Ratio (95% CI) = 22.14 (21.88-22.41), P = 2.8 × 10-116), tobacco use disorder (OR (95% CI) = 23.4 (23.13-23.68), P = 4.5 × 10-111), and bipolar disorder (OR(95% CI) = 9.70 (9.48-9.92), P = 1.3 × 10-91), among others, were associated with longer BTD. The PGS of OUD and several OUD co-morbid conditions were associated with any buprenorphine prescription. A higher PGS for OUD (OR per SD increase in PGS (95%CI) = 1.43(1.16-1.77), P = 0.0009), loneliness (OR(95% CI) = 1.39(1.13-1.72), P = 0.002), problematic alcohol use (OR(95%CI) = 1.47(1.19-1.83), P = 0.0004), and externalizing disorders (OR(95%CI) = 1.52(1.23 to 1.89), P = 0.0001) was significantly associated with long-BTD. Associations between BTD and the PGS of depression, chronic pain, nicotine dependence, cannabis use disorder, and bipolar disorder did not survive correction for multiple testing. Longer BTD is associated with diagnoses of psychiatric and somatic conditions in the EHR, as is the genetic score for OUD, loneliness, problematic alcohol use, and externalizing disorders.

Medications for Opioid Use Disorder and Mortality and Hospitalization Among People With Opioid Use-related Infections

BACKGROUND

Severe skin and soft tissue infections related to injection drug use have increased in concordance with a shift to heroin and illicitly manufactured fentanyl. Opioid agonist therapy medications (methadone and buprenorphine) may improve long-term outcomes by reducing injection drug use. We aimed to examine the association of medication use with mortality among people with opioid use-related skin or soft tissue infections.

METHODS

An observational cohort study of Medicaid enrollees aged 18 years or older following their first documented medical encounters for opioid use-related skin or soft tissue infections during 2007-2018 in North Carolina. The exposure was documented medication use (methadone or buprenorphine claim) in the first 30 days following initial infection compared with no medication claim. Using Kaplan-Meier estimators, we examined the difference in 3-year incidence of mortality by medication use, weighted for year, age, comorbidities, and length of hospital stay.

RESULTS

In this sample, there were 13,286 people with opioid use-related skin or soft tissue infections. The median age was 37 years, 68% were women, and 78% were white. In Kaplan-Meier curves for the total study population, 12 of every 100 patients died during the first 3 years. In weighted models, for every 100 people who used medications, there were four fewer deaths over 3 years (95% confidence interval = 2, 6).

CONCLUSION

In this study, people with opioid use-related skin and soft tissue infections had a high risk of mortality following their initial healthcare visit for infections. Methadone or buprenorphine use was associated with reductions in mortality.

Strategies and Adaptations to an Integrated Substance Use and Infant Mental Health Treatment Program During COVID-19

The COVID-19 pandemic resulted in increased parenting stress and substance use. At the same time that mental health and social service needs increased, access to services, including among those receiving treatment, decreased due to stay-at-home orders. Few programs were equipped or prepared to translate their interventions to a virtual format at the start of the pandemic. There is a critical need to identify effective adaptations to substance use and family-focused treatment during the COVID-19 pandemic. Effective program adaptations have continued relevance for the expansion of access to family-focused addiction services beyond the pandemic itself, particularly for rural or other hard to reach populations. Seventy-three semi-structured interviews were conducted with the five agencies participating in the implementation of the In-Home Recovery Program (IHRP), an in-home, substance use disorder (SUD) treatment program. Using a rapid analysis approach two coders analyzed interviews for recurring concepts and themes. Facilitators for adapting services included: (1) the introduction of virtual toxicology screens, (2) helping parents access technology, (3) assisting parents with non-identified children to decrease their stress, and (4) anticipating reoccurrences of substances during the pandemic. Barriers to adapting services included: (1) engaging young children in virtual treatment, (2) privacy, and (3) engaging in telehealth with parents experiencing domestic violence or reoccurrence of substances. Findings reveal virtual substance use treatment is possible. Facilitators to adaptation such as providing access to technology and virtual toxicology screens demonstrate the feasibility and acceptability of utilizing telehealth interventions for substance use. Barriers to adaptations were primarily related to the infant mental health component. Telehealth is likely not appropriate for children below the age of five. Individual sessions focusing on caregiving, rather than dyadic treatment may be more suitable to virtual formats.

"You rise up and then you start pulling people up with you": Patient experiences with a peer-delivered behavioral activation intervention to support methadone treatment

BACKGROUND

Although medications for opioid use disorder (MOUD) are efficacious treatments for opioid use disorder, retention remains low. Peer recovery specialists (PRSs), individuals with lived substance use and recovery experience, may be particularly well-suited to support patients receiving MOUD. While PRSs are rarely trained in evidence-based behavioral interventions other than motivational interviewing, preliminary evidence suggests that peers can deliver brief behavioral interventions, such as behavioral activation, with efficacy and fidelity. This qualitative study sought to explore patient perspectives on receiving an adapted PRS-delivered behavioral activation intervention (Peer Activate) to support patients receiving methadone treatment.

METHODS

The sample (N = 26) included patients recently starting or demonstrating challenges with adherence at a community-based methadone treatment program who received the Peer Activate intervention in a pilot trial. Participants were invited to participate in in-depth, semi-structured interviews at study completion or discontinuation, assessing perceived acceptability and feasibility of Peer Activate, and stigma-related barriers. Interview transcripts were coded using codebook/template thematic analysis.

RESULTS

Analysis revealed the importance of two areas to promote intervention acceptability: 1) connection with intervention content and skill building, and 2) valued PRS-specific qualities. Intervention flexibility was found to promote feasibility of the intervention in the context of chaotic and challenging life circumstances. Additionally, participants described stigma towards substance use and methadone treatment as potential barriers to engaging in methadone treatment.

CONCLUSION

Results support the acceptability and feasibility to patients of this PRS-delivered behavioral activation intervention in the context of outpatient MOUD treatment among a low-income, majority racially minoritized patient population. Future intervention adaptation and implementation should focus on incorporating content related to relationships and interpersonal skills; balancing behavioral intervention content with system navigation support; maintaining flexibility; and further investigation of the impact of individual PRS attributes, including shared lived experiences, on intervention acceptability and shifts in stigma.

Implementing harm reduction kits in an office-based addiction treatment program

BACKGROUND

The rising rates of drug use-related complications call for a paradigm shift in the care for people who use drugs. While addiction treatment and harm reduction have historically been siloed in the US, co-location of these services in office-based addiction treatment (OBAT) settings offers a more realistic and patient-centered approach. We describe a quality improvement program on integrating harm reduction kits into an urban OBAT clinic.

METHODS

After engaging appropriate stakeholders and delivering clinician and staff trainings on safer use best practices, we developed a clinical workflow for universal offering and distribution of pre-packaged kits coupled with patient-facing educational handouts. We assessed: (1) kit uptake with kit number and types distributed; and (2) implementation outcomes of feasibility, acceptability, appropriateness, and patient perceptions.

RESULTS

One-month post-implementation, 28% (40/141) of completed in-person visits had at least one kit request, and a total of 121 kits were distributed. Staff and clinicians found the program to be highly feasible, acceptable, and appropriate, and patient perceptions were positive.

CONCLUSIONS

Incorporating kits in OBAT settings is an important step toward increasing patient access and utilization of life-saving services. Our program uncovered a significant unmet need among our patients, suggesting that kit integration within addiction treatment can improve the standard of care for people who use drugs.

Meta-analysis of primary care delivered buprenorphine treatment retention outcomes

Background: Currently, the capacity to provide buprenorphine treatment (BT) is not sufficient to treat the growing number of people in the United States with opioid use disorder (OUD). We sought to examine participant retention in care rates of primary care delivered BT programs and to describe factors associated with retention/attrition for participants receiving BT in this setting.Objectives: A PRISMA-guided search of various databases was performed to identify the articles focusing on efficacy of BT treatment and OUD.Method: A systematic literature search identified 15 studies examining retention in care in the primary care setting between 2002 and 2020. Random effects meta-regression were used to identify retention rates across studies.Results: Retention rates decreased across time with a mean 0.52 rate at one year. Several factors were found to be related to retention, including: race, use of other drugs, receipt of counseling, and previous treatment with buprenorphine.Conclusions: While we only investigate BT through primary care, our findings indicate retention rates are equivalent to the rates reported in the specialty care literature. More work is needed to examine factors that may impact primary care delivered BT specifically and differentiate participants that may benefit from care delivered in specialty over primary care as well as the converse.

Investigating social deprivation and comorbid mental health diagnosis as predictors of treatment access among patients with an opioid use disorder using substance use services: a prospective cohort study

BACKGROUND

Opioid use is a major public health concern across the globe. Opioid use and subsequent access to care is often shaped by co-occurring issues faced by people using opioids, such as deprivation, mental ill-health, and other forms of substance use. We investigated the role of social deprivation and comorbid mental health diagnoses in predicting re-engagement with substance use services or contact with crisis and inpatient services for individuals with opioid use disorder in secondary mental health care in inner-city London.

METHODS

We conducted a prospective cohort study which followed individuals diagnosed with a first episode of opioid use disorder who accessed substance use services between September 2015 and May 2020 for up to 12 months, using anonymised electronic health records. We employed negative binominal regression and Cox proportional survival analyses to assess associations between exposures and outcomes.

RESULTS

Comorbid mental health diagnoses were associated with higher contact rates with crisis/inpatient services among people with opioid use disorder: incidence rate ratios (IRR) and 95% confidence intervals (CI) were 3.91 (1.74-9.14) for non-opioid substance use comorbidity, 8.92 (1.81-64.4) for a single comorbid mental health diagnosis, and 15.9 (5.89-47.5) for multiple comorbid mental health diagnoses. Social deprivation was not associated with contact rates with crisis/inpatient services within this sample. Similar patterns were found with time to first crisis/inpatient contact. Social deprivation and comorbid mental health diagnoses were not associated with re-engagement with substance use services.

CONCLUSION

Comorbid substance and mental health difficulties amongst people with an opioid use disorder led to earlier and more frequent contact with crisis/inpatient mental health services during the first 12 months of follow up. Given the common co-occurrence of mental health and substance use disorders among those who use opioids, a better understanding of their wider needs (such as social, financial and other non-medical concerns) will ensure they are supported in their treatment journeys.

Removal of Medicaid Prior Authorization Requirements and Buprenorphine Treatment for Opioid Use Disorder

Importance

Buprenorphine treatment for opioid use disorder (OUD) is associated with decreased morbidity and mortality. Despite its effectiveness, buprenorphine uptake has been limited relative to the burden of OUD. Prior authorization (PA) policies may present a barrier to treatment, though research is limited, particularly in Medicaid populations.

Objective

To assess whether removal of Medicaid PAs for buprenorphine to treat OUD is associated with changes in buprenorphine prescriptions for Medicaid enrollees.

Design, Setting, and Participants

This state-level, serial cross-sectional study used quarterly data from 2015 through the first quarter (January-March) of 2019 to compare buprenorphine prescriptions in states that did and did not remove Medicaid PAs. Analyses were conducted between June 10, 2021, and August 15, 2023. The study included 23 states with active Medicaid PAs for buprenorphine in 2015 that required similar PA policies in fee-for-service and managed care plans and had at least 2 quarters of pre- and postperiod buprenorphine prescribing data.

Exposures

Removal of Medicaid PA for at least 1 formulation of buprenorphine for OUD.

Main Outcomes and Measures

The main outcome was number of quarterly buprenorphine prescriptions per 1000 Medicaid enrollees.

Results

Between 2015 and the first quarter of 2019, 6 states in the sample removed Medicaid PAs for at least 1 formulation of buprenorphine and had at least 2 quarters of pre- and postpolicy change data. Seventeen states maintained buprenorphine PAs throughout the study period. At baseline, relative to states that repealed PAs, states that maintained PAs had lower buprenorphine prescribing per 1000 Medicaid enrollees (median, 6.6 [IQR, 2.6-13.9] vs 24.1 [IQR, 8.7-27.5] prescriptions) and lower Medicaid managed care penetration (median, 38.5% [IQR, 0.0%-74.1%] vs 79.5% [IQR, 78.1%-83.5%] of enrollees) but similar opioid overdose rates and X-waivered buprenorphine clinicians per 100 000 population. In fully adjusted difference-in-differences models, removal of Medicaid PAs for buprenorphine was not associated with buprenorphine prescribing (1.4% decrease; 95% CI, -31.2% to 41.4%). For states with below-median baseline buprenorphine prescribing, PA removal was associated with increased buprenorphine prescriptions per 1000 Medicaid enrollees (40.1%; 95% CI, 0.6% to 95.1%), while states with above-median prescribing showed no change (-20.7%; 95% CI, -41.0% to 6.6%).

Conclusions and Relevance

In this serial cross-sectional study of Medicaid PA policies for buprenorphine for OUD, removal of PAs was not associated with overall changes in buprenorphine prescribing among Medicaid enrollees. Given the ongoing burden of opioid overdoses, continued multipronged efforts are needed to remove barriers to buprenorphine care and increase availability of this lifesaving treatment.

Closing the Opioid Treatment Gap Through Advance Practice Nursing Activation: Curricular Design and Initial Outcomes

INTRODUCTION

Buprenorphine, an effective medication for opioid use disorder (MOUD), reduces opioid-related harms including overdose, but a significant gap exists between MOUD need and treatment, especially for marginalized populations. Historically, low MOUD treatment capacity is rising, driven by advanced practice registered nurses (APRNs). A graduate nursing course was designed to increase equitable buprenorphine treatment delivery by APRNs. We report on baseline findings of a curriculum evaluation study with a pretest-posttest design.

DESIGN

Computerized surveys assessed trainee satisfaction with the course, trainee knowledge for providing MOUD, and trainee satisfaction in working with people who use drugs.

METHODS

Quantitative survey results utilizing Likert scales are presented.

RESULTS

Baseline precourse surveys revealed less than half (44%) of APRN students agreed/strongly agreed that they had a working knowledge of drugs and drug-related problems and 37% agreed/strongly agreed that they knew enough about the causes of drug problems to carry out their roles when working with people who use drugs. Approximately two thirds of APRN students agreed/strongly agreed that they want to work with people who use drugs (63%), that it is satisfying to work with people who use drugs (66%), and that it is rewarding to work with people who use drugs (63%). Nearly all students reported high satisfaction with the course.

CONCLUSION

APRN students reported high satisfaction with a novel course grounded in health equity that has potential to reduce health disparities and accelerate the closure of the MOUD treatment gap, particularly for racial/ethnic minorities, rural populations, and transition-age youth.

Waiting times disparities for medication-assisted therapy among opioid use disorder treatment population in the United States

Opioid use disorder (OUD) treatment has been described as beneficial in reducing the burden of OUD and its related complications. Thus far, there is a paucity of literature on the time-to-treatment differences from the period of seeking treatment to when the patient starts treatment. Hence, it is deemed a form of barrier to the accessibility of OUD treatment programs. We aim to study the relationship between accessibility for medication-assisted treatment and the disparity concerning days waiting to enter OUD treatment. The treatment episode data set (TEDS) was utilized for this study. The full sample of 2018 TEDS-D (N = 382,547) is representative of OUD patients that utilized SUD treatment facilities within the 50 states of the United States. Univariate and multivariable logistic analysis of the independent variables, and other covariates with the dependent variables were explored to estimate the adjusted odds ratio relationship. Medication-assisted opioid therapy use among respondents was significantly different with waiting 1-7 days [AOR = 1.321 (95% CI = 1.248-1.400)] and >7 days [AOR = 0.729 (95% CI = 0.665-0.799)] to enter OUD treatment compared to waiting for less than a day. Among adults seeking OUD treatment admissions, our study showed that waiting times vary with MAT use as there was early entry compared to >1week wait time. Similarly, significant associations were reported across different sociodemographic attributes except for biological sex.

Rising Racial Disparities in Opioid Mortality and Undertreatment of Opioid Use Disorder and Mental Health Comorbidities in Virginia

Introduction

There were more than 100,000 fatal drug overdoses in the U.S. in 2021 alone. In recent years, there has been a shift in opioid mortality from predominantly White rural communities to Black urban communities. This study aimed to identify the Virginia communities disproportionately affected by the overdose crisis and to better understand the systemic factors contributing to disparities in opioid mortality.

Methods

Using the state all-payer claims database, state mortality records, and census data, we created a multivariate model to examine the community-level factors contributing to racial disparities in opioid mortality. We used generalized linear mixed models to examine the associations between socioecologic factors and fatal opioid overdoses, opioid use disorder diagnoses, opioid-related emergency department visits, and mental health diagnoses.

Results

Between 2015 and 2020, racial disparities in mortality widened. In 2020, Black males were 1.5 times more likely to die of an opioid overdose than White males (47.3 vs 31.6 per 100,000; p<0.001). The rate of mental health disorders strongly correlated with mortality (β=0.53, p<0.001). Black individuals are not more likely to be diagnosed with opioid use disorder (β=0.01, p=0.002) or with mental health disorders (β= -0.12, p<0.001), despite higher fatal opioid overdoses.

Conclusions

There are widening racial disparities in opioid mortality. Untreated mental health disorders are a major risk factor for opioid mortality. Findings show pathways to address inequities, including early linkage to care for mental health and opioid use disorders. This analysis shows the use of comprehensive socioecologic data to identify the precursors to fatal overdoses, which could allow earlier intervention and reallocation of resources in high-risk communities.

Inequities in the treatment of opioid use disorder: A scoping review

BACKGROUND

Given the lack of access to evidenced-based OUD treatment and the corresponding overdose crisis, researchers must evaluate and report health care inequities involving the treatment of OUD. Additionally, clinicians should be aware of these inequities in the treatment of patients.

METHODS

We carried out a scoping review of the literature regarding health inequities in treatment for OUD in July 2022. The study team retrieved articles published between 2016 and 2021 from MEDLINE and Ovid Embase. After authors received training, screening and data extraction were performed in masked, duplicate fashion. The team screened a total of 3673 titles and abstracts, followed by 172 articles for full-text review. The inequities that we examined were race/ethnicity, sex or gender, income, under-resourced/rural, occupational status, education level, and LGBTQ+. We used Stata 17.0 (StataCorp, LLC, College Station, TX) to summarize data and statistics of the studies within our sample.

RESULTS

A total of 44 studies evaluating inequities in OUD treatment met inclusion criteria. The most common inequity that studies examined was race/ethnicity (34/44 [77.27 %] studies), followed by under-resourced/rural (19/44 [43.18 %] studies), and sex or gender (18/44 [40.91 %] studies). LGBTQ+ (0/44 [0.0 %] studies) was not reported in the included studies. Our results indicate that many historically marginalized populations experience inequities related to access and outcomes in OUD treatment. The included studies in our scoping review occasionally demonstrated inconsistent findings.

CONCLUSIONS

Gaps exist within the literature on health inequities in treatment for OUD. The most examined inequities were race/ethnicity, under-resourced/rural and sex or gender, while studies did not examine LGBTQ+ status. Future research should aim to advance and supplement literature investigating health inequities in OUD treatment to ensure inclusive, patient-centered care.

Trajectories of drug treatment and illicit opioid use in the AIDS Linked to the IntraVenous Experience cohort, 2014-2019

BACKGROUND

Medication for opioid use disorder (MOUD) is an effective intervention to combat opioid use disorder and overdose, yet there is limited understanding of engagement in treatment over time in the community, contextualized by ongoing substance use. We aimed to identify concurrent trajectories of methadone prescriptions, buprenorphine prescriptions, and illicit opioid use among older adults with a history of injection drug use.

METHODS

We used data on 887 participants from the AIDS Linked to the IntraVenous Experience cohort, who were engaged in the study in 2013 and attended ≥1 visit during follow-up (2014-2019). Outcomes were self-reported MOUD prescription and illicit opioid use in the last 6 months. To identify concurrent trajectories in all 3 outcomes, we used group-based multi-trajectory modeling. We examined participant characteristics, including sociodemographics, HIV status, and other substance use, overall and by cluster.

RESULTS

We identified 4 trajectory clusters: (1) no MOUD and no illicit opioid use (43%); (2) buprenorphine and some illicit opioid use (11%); (3) methadone and no illicit opioid use (28%); and (4) some methadone and illicit opioid use (18%). While prevalence of each outcome was stable across time, transitions on/off treatment or on/off illicit opioid use occurred, with the rate of transition varying by cluster. The rate of transition was highest in Cluster 3 (0.74/person-year) and lowest in Cluster 1 (0.18/person-year). We saw differences in participant characteristics by cluster, including that the buprenorphine cluster had the highest proportion of people with HIV and participants who identified as non-Hispanic Black.

CONCLUSIONS

Most participants had discontinued illicit opioid use and were also not accessing MOUD. Trajectories defined by engagement with buprenorphine or methadone had distinct sociodemographic and behavioral characteristics, indicating that tailored interventions to expand access to both types of treatment are likely needed to reduce harms associated with untreated opioid use disorder.

Gender differences in outcomes of early intervention services for first episode psychosis

AIMS

There is growing interest in early intervention in psychotic disorders. However, gender differences in the outcomes of such treatment have not been studied in a randomized clinical trial.

METHODS

Patients diagnosed with schizophrenia spectrum disorders with less than 6 months antipsychotic exposure entered a cluster randomized trial of early intervention services compared to usual care in the Recovery After an Initial Schizophrenia Episode Early Treatment Program (RAISE-ETP) study. Masked evaluators assessed the Quality of Life Scale (QLS) and the Positive and Negative Syndrome Scale (PANSS) every 6 months. Our secondary analyses examined gender differences in baseline characteristics, 2-year gender outcomes, and intervention responses.

RESULTS

Altogether 404 individuals aged 15-40 entered the study: 111 (27.4%) women and 293 (72.5%) men. At baseline, women were significantly more likely to have been married (p = .007) and to be living independently (p = .012) than men. Women were also more likely to be diagnosed with schizoaffective disorder, bipolar type (p = .006) and scored higher on the depression subscale of the PANSS (p = .0004) but not the CDSS. Women were less likely to use or abuse cannabis (p = .0004), though no less likely to abuse alcohol. Controlling for these differences, there were no significant gender differences in the QLS or PANSS outcomes.

CONCLUSION

Baseline gender differences in comorbid substance use and prevalence of mood symptoms in women with first episode psychosis are consistent with previous studies. The absence of significant gender differences in outcomes with early intervention has not been previously reported in a multi-site randomized US clinical trial.

Relapse during opioid use disorder treatment: A pilot study to understand the reasons for opioid use during treatment

Background

Opioid use is a cause of concern in many parts of the world. About 2.1% Indians use opioids. Opioids are also the most common drugs used by injection drug users in India. Despite various treatment strategies used to manage opioid use disorders (OUDs), relapse is common. A good treatment program would make efforts to address lapses and prevent relapse. Hence, there is a need to understand the factors associated with relapse in OUD.

Method

One hundred and twenty patients completed a baseline assessment that included socio-demographic details and the Maudsley Addiction Profile (MAP). They were followed up for three months and assessed using telephonic interview for opioid use. All those who relapsed were assessed using the Reasons for Relapse Questionnaire (RRQ). The patients who relapsed were compared with the patients who were abstinent. Relapse was defined as any use of opioid during follow-up.

Results

Forty participants relapsed during the 90 days of the study period. Relapsed patients had a greater number of conflict days with family members, used a higher amount of heroin and cannabis at baseline, were less likely to be discharged on buprenorphine, and were more likely to drop out. Participants cited mood and social reasons more often than cue/craving and unwell domains of RRQ.

Conclusion

Baseline treatment and prospective factors are associated with relapse in OUD. Addressing these factors can help in reducing relapse in OUD patients.

Retention in Office-Based Opioid Treatment and Impact on Emergency Department Use in Adolescents and Young Adults With Opioid Use Disorder

PURPOSE

Longer retention in medication treatment (MT) of addiction is associated with improved health outcomes among adults with opioid use disorder. MT remains underutilized among adolescents and young adults (AYA); factors associated with MT retention are not well-defined and effect of retention on treatment outcomes is unknown. This study examined patient characteristics associated with retention in an office-based opioid treatment program for AYA patients and determined the impact of retention time on emergency department (ED) utilization.

METHODS

This was a retrospective study of AYA patients from January 1, 2009, to December 31, 2020. Retention time was the difference between first and last appointment, analyzing follow-up periods of one and two years. Linear regression assessed factors associated with retention. Negative binomial regression showed effect of retention on ED utilization.

RESULTS

A total of 407 patients were included. Factors positively associated with retention were diagnosis of anxiety, depression, and nicotine use disorder, White race, private insurance, and Medicaid insurance; however, stimulant/cocaine use disorder was negatively associated (one-year follow-up, p ≤ .028; two-year follow-up, p ≤ .017). Longer retention was associated with reduced risk of ED utilization at one-year (incident rate ratio = 0.84, 95% confidence interval: 0.72-0.99; p = .03) and two-year follow-ups (incident rate ratio = 0.86 95% confidence interval: 0.77-0.96; p = .008).

DISCUSSION

Diagnosis of anxiety, depression, nicotine use disorder, and stimulant/cocaine use disorder, and insurance and race can influence retention in MT. Longer retention in MT was associated with lower ED visits, decreasing health care utilization. MT programs should evaluate various interventions to optimize opportunities for increasing retention among their patient cohorts.

Buprenorphine use and courses of care for opioid use disorder treatment within the Veterans Health Administration

BACKGROUND

Retention of patients in buprenorphine medication treatment for opioid use disorder (B-MOUD) reduces harms associated with opioid use disorder (OUD). We sought to characterize the patients receiving B-MOUD and courses of B-MOUD in a large healthcare system.

METHODS

We conducted a retrospective, open cohort study of patients with OUD who either did or did not receive B-MOUD courses within the Veterans Health Administration (VHA) from January 2006 through July 2019, using VHA clinical data. We compared patients receiving or not receiving B-MOUD, characterized B-MOUD courses (e.g., length and doses), and examined persistence, across patient characteristics, over time. We used analyses for normally or non-normally distributed continuous variables, categorical data, and persistence over time (Kaplan-Meier persistence curves).

RESULTS

We identified 255,726 Veterans with OUD; 40,431 (15.8%) had received 63,929 B-MOUD courses. Compared to patients with OUD without B-MOUD, patients with B-MOUD were younger, more often of white race, and had more co-morbidities. The frequency of new B-MOUD starts and prevalent B-MOUD patients ranged from 1550 and 1989 in 2007 to 8146 and 16,505 in 2018, respectively. The median duration of B-MOUD was 157 (IQR: 37-537) days for all courses and 33.8% patients had more than one course. The average proportion days covered was 90% (SD: 0.15), and the average prescribed daily dose was 13.44 (SD: 6.5).

CONCLUSIONS

Within a VHA B-MOUD cohort, courses increased more than 10-fold from 2006 to 2016 with nearly half of patients experiencing multiple courses. Patient demographics seem to dictate the length of courses.

Peer recovery coaching for comprehensive HIV, hepatitis C, and opioid use disorder management: The CHORUS pilot study

Introduction

Amidst a surge in HIV and hepatitis C virus (HCV) infections in persons who use drugs, medications that effectively prevent HIV and treat opioid use disorder and HCV remain underutilized.

Methods

We developed a 6-month peer recovery coaching intervention (brief motivational interviewing followed by weekly virtual or in-person coaching) and collected data on uptake of medications for opioid use disorder (MOUD), HIV pre-exposure prophylaxis (PrEP), and HCV treatment. The primary outcomes were intervention acceptability and feasibility.

Results

At a Boston substance use disorder bridge clinic, we enrolled 31 HIV-negative patients who used opioids. Participants reported high intervention satisfaction at 6 months (95% "satisfied" or "very satisfied"). At study completion, 48% of the participants were on MOUD, 43% who met CDC guidelines were on PrEP, and 22% with HCV were engaged with treatment.

Conclusions

A peer recovery coaching intervention is feasible and acceptable, with positive preliminary findings regarding MOUD, PrEP and HCV treatment uptake.

Psychosocial challenges affecting patient-defined medication for opioid use disorder treatment outcomes in a low-income, underserved population: Application of the social-ecological framework

INTRODUCTION

Successful engagement with medication treatment for opioid use disorder is an important focus in reducing mortality associated with the opioid crisis. Mortality remains at unacceptably high levels, pointing to a need for improved understanding of factors that affect medication for opioid use disorder outcomes. This study aims to understand how barriers co-occur and interact to interfere with outcomes in methadone treatment for a low-income, underserved patient population with opioid use disorder.

METHODS

This study was conducted at a community-based drug treatment center that serves a predominately low-income, racially diverse population. Guided by the social-ecological framework, we analyzed semi-structured interviews and focus groups with patients and providers working in opioid use disorder care and recovery across Baltimore City (N = 32) to assess factors that influence methadone treatment outcomes, and how barriers co-occur and interact to worsen treatment outcomes. The study used patient-centered definitions to describe successful treatment outcomes.

RESULTS

Barriers described by both patients and providers fit into several broad levels: individual, interpersonal, institutional, community, and stigma. Participants described co-occurrence of many barriers. Further, the study identified potential interactive effects, such that interrelated barriers were seen as fueling one another and having a deleterious effect on treatment outcomes. Specifically, interrelationships between barriers were described for 1) unstable housing with social influences and mental health factors; 2) transportation with poor physical health and other competing responsibilities; 3) treatment program policies and schedule with competing responsibilities; and 4) stigma with poor physical and mental health.

CONCLUSIONS

Understanding barriers to successful medication for opioid use disorder outcomes and considering their co-occurrence may help to identify and promote interventions to mitigate their impact. This work is intended to guide future research to adapt conceptual frameworks for understanding psychosocial and structural barriers affecting opioid use disorder treatment and ultimately intervention efforts to improve treatment outcomes.

Characteristics and health service use of Medicaid-insured individuals filling naloxone under a standing order in Louisiana

BACKGROUND

Naloxone distribution is a key intervention to reduce opioid overdose deaths. On January 23, 2017, Louisiana implemented a standing order that permits pharmacies to dispense naloxone to patients without a patient-specific prescription.

OBJECTIVES

To examine the characteristics and health service use of Louisiana Medicaid members filling naloxone under the standing order.

METHODS

We conducted a retrospective cohort study of Louisiana Medicaid members from January 23, 2017 to December 31, 2019. We extracted fee-for-service claims and managed care encounters for naloxone dispensed under the standing order.

RESULTS

Overall, there were 2053 naloxone fills by 1912 unique individuals. The total number of naloxone fills increased from 22 in 2017 to 1218 in 2019. Most members (n = 1,586, 83.0%) received any type of health service and 20.4% (n = 391) received an opioid-related health service in the 30 days prior to filling naloxone. Additionally, 12.7% (n = 242) of members had received medication for opioid use disorder (MOUD), and 42.6% (n = 815) filled a prescription opioid analgesic within the 60 days prior to filling naloxone. Nineteen members (1.0%) had an emergency department visit for overdose within 90 days after filling naloxone.

CONCLUSION

Standing orders play an important role in providing access to naloxone, even among Medicaid members who had recent encounters with health care providers. We identified multiple opportunities to improve naloxone prescribing among providers caring for Medicaid-insured people who use opioids, including prescribers of opioid analgesics or MOUD.