Patterns of Buprenorphine-Naloxone Treatment for Opioid Use Disorder in a Multistate Population

Are gaps in rates of retention on buprenorphine for treatment of opioid use disorder closing among veterans across different races and ethnicities? A retrospective cohort study

INTRODUCTION

The U.S. Veterans Health Administration has undertaken several initiatives to improve veterans' access to and retention on buprenorphine because it prevents overdose and reduces drug-related morbidity. We aimed to determine whether improvements in retention duration over time was equitable across veterans of different races and ethnicities.

METHODS

This retrospective cohort study was conducted among veterans who initiated buprenorphine from federal fiscal years (FY) 2006 to 2020 after diagnosis of opioid use disorder. Using an accelerated failure time model, we estimated the association between time to buprenorphine discontinuation and FY of initiation, race and ethnicity, and other control covariates. We followed veterans from buprenorphine initiation until they discontinued or had a censoring event. We then estimated the predicted median days retained on buprenorphine, the average marginal effect of initiating in a later FY, the same measure by race and ethnicity, the incremental effect of the various racial and ethnic identities in contrast to non-Hispanic White, and the total change in the size of the gap over the 15 years of the study between veterans with a minoritized racial or ethnic identity compared to non-Hispanic White veterans.

RESULTS

Most of the 31,797 veterans in the sample were non-Hispanic White (74.5 %), from urban areas (83.5 %), male (92.0 %), and had significant comorbidities, most frequently anxiety disorders (51.0 %) and depression (63.0 %). Overall, 49.8 % of veterans were retained at least 180 days. The average marginal effect of FY was 7.0 days [95%CI:5.3, 8.8] but was significantly smaller among veterans identifying as Black or African American [3.2 days; 95%CI:2.4, 4.1] or Asian [3.6 days; 95%CI:1.6, 5.7] compared to veterans who identify as non-Hispanic White [7.9 days; 95%CI:5.9, 9.9]. Additional measures of change were significant for veterans identifying as Hispanic White or with two or more races.

CONCLUSION

Although buprenorphine retention in OUD treatment improved for all veterans over the 15-year study period, veterans from most minoritized racial and ethnic groups fell further behind as gains in duration on therapy accrued primarily to non-Hispanic White veterans. Targeted interventions addressing specific challenges experienced by veterans with minoritized identities are needed to close gaps in retention on buprenorphine.

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.

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.

Assessment of treatment retention rates and predictors of retention on opioid agonist treatment among adolescents

INTRODUCTION

Opioid agonist treatment (OAT) is an effective treatment for opioid dependence syndrome in adults. However, studies on effectiveness of OAT in adolescents are limited; existing studies show varying retention rates. The present study aimed to assess OAT retention rates in adolescent patients with opioid dependence syndrome registered in a community drug treatment clinic in Delhi, India, and to analyse factors associated with retention at 1 year.

METHODS

Retrospective cohort study. All adolescents (n = 130) aged 10-19 years, started on OAT from January 2020 to July 2022 were included. Baseline and follow-up data was extracted from online record system maintained at the clinic. OAT retention rates at different timepoints were assessed. Multivariable logistic regression was used to discern factors associated with one-year retention.

RESULTS

The participants' mean age was 16.9 (SD 1.4) years. Mean age of starting opioids was 14.9 (SD 2.2) years; 29.5% (n = 38) injected opioids. The 6-, 12-, 18- and 24-month retention rate on OAT was 64.4%, 45.6%, 38.7% and 29% respectively. The retention rates with buprenorphine and methadone were comparable. Multivariate logistic regression showed retention for less than 12 months to be significantly associated with younger age of starting heroin, involvement in illegal activities, absenteeism from school and substance use in family.

DISCUSSION AND CONCLUSIONS

The 12-month retention rates on OAT in adolescents is comparable to retention rates in adults. Various factors associated with early age of onset of opioid use are also associated with lower retention rates on OAT.

Single cell transcriptomics reveals distinct transcriptional responses to oxycodone and buprenorphine by iPSC-derived brain organoids from patients with opioid use disorder

The opioid epidemic represents a national crisis. Oxycodone is one of the most prescribed opioid medications in the United States, whereas buprenorphine is currently the most prescribed medication for opioid use disorder (OUD) pharmacotherapy. Given the extensive use of prescription opioids and the global opioid epidemic, it is essential to understand how opioids modulate brain cell type function at the single-cell level. We performed single nucleus RNA-seq (snRNA-seq) using iPSC-derived forebrain organoids from three male OUD subjects in response to oxycodone, buprenorphine, or vehicle for seven days. We utilized the snRNA-seq data to identify differentially expressed genes following drug treatment using the Seurat integrative analysis pipeline. We utilized iPSC-derived forebrain organoids and single-cell sequencing technology as an unbiased tool to study cell-type-specific and drug-specific transcriptional responses. After quality control filtering, we analyzed 25787 cells and identified sixteen clusters using unsupervised clustering analysis. Our results reveal distinct transcriptional responses to oxycodone and buprenorphine by iPSC-derived brain organoids from patients with OUD. Specifically, buprenorphine displayed a significant influence on transcription regulation in glial cells. However, oxycodone induced type I interferon signaling in many cell types, including neural cells in brain organoids. Finally, we demonstrate that oxycodone, but not buprenorphine activated STAT1 and induced the type I interferon signaling in patients with OUD. These data suggest that elevation of STAT1 expression associated with OUD might play a role in transcriptional regulation in response to oxycodone. In summary, our results provide novel mechanistic insight into drug action at single-cell resolution.

A qualitative assessment of emergency physicians' experiences with robust emergency department buprenorphine bridge programs

OBJECTIVES

Emergency departments (EDs) are a critical point of entry into treatment for patients struggling with opioid use disorder (OUD). When initiated in the ED, buprenorphine is associated with increased addiction treatment engagement at 30 days when initiated. Despite this association, it has had slow adoption. The barriers to ED buprenorphine utilization are well documented; however, the benefits of prescribing buprenorphine for emergency physicians (EPs) have not been explored. This study utilized semistructured interviews to explore and understand how EPs perceive their experiences working in EDs that have successfully implemented ED bridge programs (EDBPs) for patients with OUD.

METHODS

Semistructured interviews were conducted with EPs from four geographically diverse academic hospitals with established EDBPs. Interviews were recorded and transcribed, and emergent themes were identified using codebook thematic analysis. Analysis credibility and transparency were confirmed with peer debriefing.

RESULTS

Twenty-two interviews were conducted across the four sites. Three key themes were constructed during the analyses: (1) provided EPs agency; (2) transformed EPs' emotions, attitudes, and behaviors related to treating patients with OUD; and (3) improved EPs' professional quality of life.

CONCLUSIONS

Participants in this study reported several common themes related to participation in their hospital's BP. Overall our results suggest that physicians who participate in EDBPs may feel a renewed sense of fulfillment and purpose in their personal and professional lives. These positive changes may lead to increased job satisfaction in hospitals that have successfully launched EDBP.

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.

Quantifying diagnosis and treatment practices of opioid use disorder in primary care practices using chart review data

BACKGROUND

Opioid misuse is a significant public health crisis. The aim sought to identify potential gaps in opioid care in primary care practices.

METHODS

American Academy of Family Physicians (AAFP) offered a monthly online educational series to seven U.S. practices. Practices were asked to complete up to 50 chart reviews for visits during two periods: February-April, 2019, and February-April, 2022. Each chart had to have an ICD-10 diagnosis of opioid misuse, opioid dependence, or opioid use. Chart reviews consisted of 14 questions derived from an American Academy of Addiction Psychiatry (AAAP) Performance in Practice activity, and then, scored based on practices' responses. Descriptive statistics and binary logistic and multinomial regressions were used.

RESULTS

Both periods had 173 chart reviews (total: 346) from the six practices. Most chart reviews were for patients with a diagnosis of opioid dependence (2019: 90.2%; 2022: 83.2%). Three questions for assessing OUD treatment behaviors had high levels of documentation across both time periods (>85%): other drug use, treatment readiness, and treatment discussion.

DISCUSSION

Results show a gap in the treatment of patients with OUD in primary care across several clinical practice recommendations.

CONCLUSIONS

Expanding OUD treatment integration to primary care remains the most promising effort to combat the opioid crisis.

Mobile Medication Adherence Platform for Buprenorphine (MAP4BUP): A Phase I feasibility, usability and efficacy pilot randomized clinical trial

BACKGROUND/AIM

Poor medication adherence is one of the main barriers to the long-term efficacy of buprenorphine/naloxone (BUP/NAL). The aims of this pilot investigation were to examine if a Bluetooth-enabled pill cap and mobile application is a feasible, usable tool for increasing BUP/NAL adherence among people with an opioid use disorder.

METHODS

This pilot randomized clinical trial (RCT; total n = 41) lasted 12 weeks and was conducted in two office-based BUP/NAL provider locations in Spokane, WA and Coeur d'Alene, ID from January 2020 to September of 2021 with an 11-month gap due to COVID-19. Patients receiving BUP/NAL who consented to participate were randomized to receive the pill cap device (PLY group; n = 19) or a service as usual (SAU group; n = 22) group that included an identical but inactive cap for their bottle. The PLY group received reminders via text and voice, and the support of a "helper" (e.g., friend) to monitor pill cap openings.

RESULTS

Most participants in PLY group found the device both feasible (92.86 %) and usable (78.57 %). Most participants liked using the device (92.86 %) and were satisfied with the device (85.71 %). While not statistically different from one another, medication adherence per the Medication Possession Ratio was 75 % in the SAU group and 84 % in the PLY group. Pill cap openings were significantly higher in the PLY group with an average of 91.8 openings versus the SAU group's average of 56.7 (p < 0.05).

CONCLUSION

The devices was feasible, usable, and patients had high levels of satisfaction. The device was associated with increased pill openings.

Association of medications for opioid use disorder with reduced risk of repeat opioid overdose in Medicaid: A cohort study

INTRODUCTION

Following a nonfatal opioid overdose, patients are at high risk for repeat overdose. The objective of this study was to examine the association of MOUD after nonfatal opioid overdose with risk of repeat overdose in the following year.

METHODS

This retrospective cohort study analyzed Missouri Medicaid claims from July 2012 to December 2021. The study identified opioid overdoses occurring between 2013 and 2020 using diagnosis codes for opioid poisoning in an inpatient or emergency department setting. The study implemented Cox models with a time-varying covariate for post-overdose receipt of MOUD.

RESULTS

During the study period, MOUD receipt after overdose more than tripled, from 4.8 % to 18.9 %. Overall, only 12.1 % of patients received MOUD in the year after index. MOUD during follow-up was associated with significantly lower risk of repeat overdose (HR = 0.34, 95 % CI = 0.14-0.82). Out of 3017 individuals meeting inclusion criteria, 13.6 % had a repeat opioid overdose within 1 year. Repeat overdose risk was higher for those whose index overdose involved heroin or synthetic opioids (HR = 1.71, 95 % CI = 1.35-2.15), but MOUD was associated with significantly reduced risk in this group (HR = 0.34, 95 % CI = 0.13-0.92).

CONCLUSIONS

MOUD receipt was associated with reduced risk of repeat overdose. Those whose index overdoses involved heroin or synthetic opioids were at greater risk of repeat overdose, but MOUD was associated with reduced risk in this group.

Evaluation of an injectable monthly extended-release buprenorphine program in a low-barrier specialty addiction medicine clinic

INTRODUCTION

Monthly injectable extended-release buprenorphine (XR-BUP) can address several systemic and individual barriers to consistent sublingual buprenorphine treatment for patients with opioid use disorder (OUD). Real-world evaluations of XR-BUP in the outpatient addiction treatment setting are limited. The purpose of this study was to compare 6-month treatment retention and urine drug tests between patients who initiated XR-BUP compared to those who were prescribed but did not initiate XR-BUP in a low-barrier addiction medicine specialty clinic.

METHODS

We conducted a retrospective cohort study of adults with OUD prescribed XR-BUP between 12/1/2018 and 12/31/2020 in a low-barrier addiction medicine specialty clinic to compare 6-month treatment retention between patients who initiated XR-BUP and those who were prescribed but did not initiate XR-BUP (comparison group). Secondary outcomes included percent of urine toxicology tests negative for non-prescribed opioids. Multivariable logistic regression models evaluated factors associated with 6-month treatment retention and XR-BUP initiation.

RESULTS

Of the 233 patients prescribed XR-BUP, 148 (63.8 %) identified as non-Hispanic white, 218 (93.6 %) were insured by public insurance (Medicare/Medicaid), and nearly two-thirds were prescribed XR-BUP due to unstable OUD. Approximately 50 % of patients initiated XR-BUP treatment (mean number of injections = 3.7). About 60 % of XR-BUP-treated patients received supplemental sublingual buprenorphine and nearly two-thirds received a 300 mg maintenance dose. Six-month treatment retention was greater in the XR-BUP treatment versus comparison group (70.3 % vs. 36.5 %, p < 0.001). The XR-BUP treatment group had a higher percentage of opioid-negative urine toxicology tests versus the comparison group (67.2 % vs. 36.3 %, p < 0.001). Receipt of XR-BUP was an independent predictor of 6-month treatment retention (OR 5.40, 95 % CI 2.18-13.38). Those prescribed XR-BUP due to unstable OUD had lower odds of treatment retention (OR 0.41, 95 % CI 0.24-0.98) after controlling for receipt of XR-BUP and other variables known to impact retention.

CONCLUSIONS

XR-BUP improved 6-month treatment retention and resulted in a greater proportion of opioid-negative urine toxicology tests compared to a comparison group of patients who were prescribed but did not initiate XR-BUP. Patients with unstable OUD had lower odds of XR-BUP initiation, suggesting the need for targeted interventions to increase XR-BUP uptake in this high-risk population.

Telehealth Initiation of Buprenorphine for Opioid Use Disorder: Patient Characteristics and Outcomes

BACKGROUND

The COVID-19 pandemic exacerbated access barriers for patients with opioid use disorder. Telehealth presents an opportunity to improve access, treatment quality, and patient outcomes.

OBJECTIVE

To determine patient characteristics associated with initiating buprenorphine treatment via telehealth and to examine how telehealth initiation is associated with access, treatment quality, and health outcomes.

DESIGN AND PARTICIPANTS

This cross-sectional study used deidentified insurance claims to identify opioid use disorder adult patients initiating buprenorphine treatment between March 1, 2020, and November 30, 2021. Multivariable logistic regression assessed determinants of telehealth initiation. Propensity score matching addressed observed differences between in-person and telehealth initiators.

MAIN MEASURES

Treatment quality outcomes included initiation within 14 days of diagnosis, engagement (at least 2 opioid use disorder-related visits), and any buprenorphine refill during the study period. Health outcomes included opioid overdose and opioid use disorder-related emergency department and inpatient visits.

KEY RESULTS

We identified 23,565 adult buprenorphine initiators, including 3314 (14.1%) patients using telehealth. Younger patients (OR 0.91 to 0.77), females (OR 1.18), South (OR 1.63) and Midwest (OR 1.27) regions, rural area (OR 1.12), and higher-income (OR 1.16) neighborhood residents were more likely to use telehealth. Telehealth patients were more likely than in-person patients (54.5% vs. 48.4%; adjusted odds ratio (AOR), 1.29; 95% CI, 1.19-1.40) to stay engaged with opioid use disorder treatment, and more likely to refill buprenorphine during the study period (83.6% vs. 79.0%, AOR 1.37; 95% CI, 1.23-1.52). Telehealth initiation of buprenorphine was associated with 36% lower overdose rate than in-person initiation (adjusted incidence rate ratio 0.64; 95% CI, 0.45-0.94). The two groups evidenced no significant differences in opioid use disorder-related ED visit and hospitalization.

CONCLUSIONS

Our findings suggest that telehealth-initiated buprenorphine treatment is associated with reduced opioid overdose rate and improved patient engagement. Our findings strengthen the case for extending telehealth exemptions and prescribing flexibilities for treatment.

Receipt and duration of buprenorphine treatment during pregnancy and postpartum periods in a national privately-insured cohort

Background

Research gaps exist on the use of medications for opioid use disorder (OUD) among birthing people.

Methods

This retrospective cohort study included people who underwent childbirth deliveries during 2017-2020 and had a diagnosis of OUD identified from a national private insurance claims database. Buprenorphine prescriptions received during the year before childbirth and the year after childbirth were obtained from pharmacy claims. Logistic regressions were used to estimate associations between receipt of buprenorphine and individual and state-level factors.

Results

Among a sample of 1,523 birthing people diagnosed with OUD, 540 (35.5 %) received buprenorphine during the pregnancy or postpartum periods. About half (51.5 %) of new recipients of buprenorphine received treatment for at least six months and, of those, one-third experienced a treatment interruption. The buprenorphine receipt rate differed significantly by race and ethnicity: 28.8 % of non-Hispanic Black birthing people with OUD and 22.8 % of Hispanic birthing people with OUD received buprenorphine treatment in contrast to 37.7 % of non-Hispanic white birthing people (aOR 0.53 [95 % CI 0.35-0.81] and 0.59 [95 % CI 0.37-0.96], respectively). The buprenorphine use rate increased over time from 29.7 % in 2017 to 42.9 % in 2020. Birthing people living in states with punitive policies related to substance use in pregnancy had the lowest buprenorphine use rate of 22.7 % as compared to 43.0 % in states with least restrictive policies.

Conclusion

In this national sample of privately-insured individuals, by 2020, 42.9 % of birthing people with OUD received buprenorphine treatment. Treatment discontinuation and interruptions were common in the period surrounding childbirth.

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

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

Long-Term Effects of Increasing Buprenorphine Treatment Seeking, Duration, and Capacity on Opioid Overdose Fatalities: A Model-based Analysis

OBJECTIVES

Because buprenorphine treatment of opioid use disorder reduces opioid overdose deaths (OODs), expanding access to care is an important policy and clinical care goal. Policymakers must choose within capacity limitations whether to expand the number of people with opioid use disorder who are treated or extend duration for existing patients. This inherent tradeoff could be made less acute with expanded buprenorphine treatment capacity.

METHODS

To inform such decisions, we used a validated simulation model to project the effects of increasing buprenorphine treatment-seeking, average episode duration, and capacity (patients per provider) on OODs in the United States from 2023 to 2033, varying the start time to assess the effects of implementation delays.

RESULTS

Results show that increasing treatment duration alone could cost lives in the short term by reducing capacity for new admissions yet save more lives in the long term than accomplished by only increasing treatment seeking. Increasing provider capacity had negligible effects. The most effective 2-policy combination was increasing capacity and duration simultaneously, which would reduce OODs up to 18.6% over a decade. By 2033, the greatest reduction in OODs (≥20%) was achieved when capacity was doubled and average duration reached 2 years, but only if the policy changes started in 2023. Delaying even a year diminishes the benefits. Treatment-seeking increases were equally beneficial whether they began in 2023 or 2025 but of only marginal benefit beyond what capacity and duration achieved.

CONCLUSIONS

If policymakers only target 2 policies to reduce OODs, they should be to increase capacity and duration, enacted quickly and aggressively.

Exploring the Association of State Policies and the Trajectories of Buprenorphine Prescriber Patient Caseloads

BACKGROUND

Increasing buprenorphine access is critical to facilitating effective opioid use disorder treatment. Buprenorphine prescriber numbers have increased substantially, but most clinicians who start prescribing buprenorphine stop within a year, and most active prescribers treat very few individuals. Little research has examined state policies' association with the evolution of buprenorphine prescribing clinicians' patient caseloads.

METHODS

Our retrospective cohort study design derived from 2006 to 2018 national pharmacy claims identifying buprenorphine prescribers and the number of patients treated monthly. We defined persistent prescribers based on results from a k-clustering approach and were characterized by clinicians who did not quickly stop prescribing and had average monthly caseloads greater than 5 patients for much of the first 6 years after their first dispensed prescription. We examined the association between persistent prescribers (dependent variable) and Medicaid coverage of buprenorphine, prior authorization requirements, and mandated counseling policies (key predictors) that were active within the first 2 years after a prescriber's first observed dispensed buprenorphine prescription. We used multivariable logistic regression analyses and entropy balancing weights to ensure better comparability of prescribers in states that did and did not implement policies.

RESULTS

Medicaid coverage of buprenorphine was associated with a smaller percentage of new prescribers becoming persistent prescribers (OR = 0.72; 95% CI = 0.53, 0.97). There was no evidence that either mandatory counseling or prior authorization was associated with the odds of a clinician being a persistent prescriber with estimated ORs equal to 0.85 (95% CI = 0.63, 1.16) and 1.13 (95% CI = 0.83, 1.55), respectively.

CONCLUSIONS

Compared to states without coverage, states with Medicaid coverage for buprenorphine had a smaller percentage of new prescribers become persistent prescribers; there was no evidence that the other state policies were associated with changes in the rate of clinicians becoming persistent prescribers. Because buprenorphine treatment is highly concentrated among a small group of clinicians, it is imperative to increase the pool of clinicians providing care to larger numbers of patients for longer periods. Greater efforts are needed to identify and support factors associated with successful persistent prescribing.

Discontinuation of Buprenorphine Treatment for Opioid Use Disorder During the Coronavirus Disease-2019 Pandemic: A Multilevel Framework

BACKGROUND

The coronavirus disease-2019 pandemic has been associated with large increases in opioid-related mortality, yet it is unclear whether specific subpopulations were especially likely to discontinue buprenorphine treatment for opioid use disorder as the pandemic ensued.

OBJECTIVE

The aim was to assess predictors of buprenorphine discontinuation in the early months of the coronavirus disease-2019 pandemic (April-July 2020) compared with a prepandemic period (April-July 2019).

DESIGN

In each time period, we estimated a multilevel regression models to assess risk of discontinuation in April-July for people who started buprenorphine in January-February. Models included person-level, prescriber-level, and area-level covariates.

SUBJECTS

Individuals age 18 years or older in the all-payer IQVIA Longitudinal Prescription Claims.

MEASURES

The primary outcome was buprenorphine discontinuation (ie, no filled prescriptions during the follow-up periods).

RESULTS

Overall, 13.98% of patients discontinued buprenorphine in April-July 2020, less than the 15.71% in 2019 (P<0.001). In 2020, patient-level factors associated with discontinuation included younger age, male sex, shorter baseline possession ratio, and payment by cash. Compared with patients with a primary care physician prescriber, specialties most associated with discontinuation were pain medicine and physician assistant/nurse practitioner. Compared with the South Atlantic region, discontinuation risk was lowest in New England and highest in the West South Central States. The association between patient, prescriber, and geographic variables to risk of discontinuation was very similar in 2019 and 2020.

CONCLUSIONS

While clinical and policy interventions may have mitigated opioid use disorder treatment discontinuation following the pandemic, such discontinuation is nevertheless common and varies by identifiable patient, provider and geographic factors.

Association of polysubstance use disorder with treatment quality among Medicaid beneficiaries with opioid use disorder

INTRODUCTION

The opioid crisis is transitioning to a polydrug crisis, and individuals with co-occurring substance use disorder (SUDs) often have unique clinical characteristics and contextual barriers that influence treatment needs, engagement in treatment, complexity of treatment planning, and treatment retention.

METHODS

Using Medicaid data for 2017-2018 from four states participating in a distributed research network, this retrospective cohort study documents the prevalence of specific types of co-occurring SUD among Medicaid enrollees with an opioid use disorder (OUD) diagnosis, and assesses the extent to which different SUD presentations are associated with differential patterns of MOUD and psychosocial treatments.

RESULTS

We find that more than half of enrollees with OUD had a co-occurring SUD, and the most prevalent co-occurring SUD was for "other psychoactive substances", indicated among about one-quarter of enrollees with OUD in each state. We also find some substantial gaps in MOUD treatment receipt and engagement for individuals with OUD and a co-occurring SUD, a group representing more than half of individuals with OUD. In most states, enrollees with OUD and alcohol, cannabis, or amphetamine use disorder are significantly less likely to receive MOUD compared to enrollees with OUD only. In contrast, enrollees with OUD and other psychoactive SUD were significantly more likely to receive MOUD treatment. Conditional on MOUD receipt, enrollees with co-occurring SUDs had 10 % to 50 % lower odds of having a 180-day period of continuous MOUD treatment, an important predictor of better patient outcomes. Associations with concurrent receipt of MOUD and behavioral counseling were mixed across states and varied depending on co-occurring SUD type.

CONCLUSIONS

Overall, ongoing progress toward increasing access to and quality of evidence-based treatment for OUD requires further efforts to ensure that individuals with co-occurring SUDs are engaged and retained in effective treatment. As the opioid crisis evolves, continued changes in drug use patterns and populations experiencing harms may necessitate new policy approaches that more fully address the complex needs of a growing population of individuals with OUD and other types of SUD.

Sociodemographic and prescribing characteristics that impact long-term retention in buprenorphine treatment for opioid use disorder among a statewide population

BACKGROUND AND AIMS

Partial opioid agonist medications for opioid use disorder reduce mortality and morbidity, however long-term retention in treatment is challenging. The objective of this study was to identify patient and prescription characteristics associated with long-term buprenorphine treatment retention.

METHODS

We used data from the Rhode Island prescription drug monitoring program to identify residents who initiated buprenorphine treatment and determine if they were retained in long-term buprenorphine treatment 12-months after treatment initiation. Multivariable logistic regression models were used to identify sociodemographic and prescription characteristics associated with long-term buprenorphine retention.

FINDINGS

During the study period 4898 unique Rhode Island residents initiated buprenorphine treatment, of whom 37.8 % were retained in treatment at 12-months. Demographic factors associated with a higher odds of long-term buprenorphine retention included older age, female sex, Medicaid insurance (vs private), and living closer to the pharmacy where the prescription was filled. Individuals who were prescribed the tablet formulation (aOR: 0.82 [95 % CI 0.72, 0.93]) or received a non-buprenorphine opioid during the follow-up window (aOR: 0.37 [95 % CI 0.31, 0.44]) had lower odds of long-term treatment at 12-months. Individuals who received at least one day of overlapping benzodiazepine and buprenorphine prescriptions (aOR: 2.00 [95 % CI 1.70, 2.34]) and those given a longer days supply (aOR: 1.26 [95 % CI 1.01, 1.56]) had higher odds of long-term treatment at 12-months. Findings were similar for treatment retention at 6-months in sensitivity analyses.

CONCLUSIONS

These findings highlight several modifiable prescribing practices associated with long-term buprenorphine retention, suggesting that clinicians and public health practitioners can help remove barriers to long-term retention.

Duration of medication treatment for opioid-use disorder and risk of overdose among Medicaid enrollees in 11 states: a retrospective cohort study

BACKGROUND AND AIMS

Medication for opioid use disorder (MOUD) reduces harms associated with opioid use disorder (OUD), including risk of overdose. Understanding how variation in MOUD duration influences overdose risk is important as health-care payers increasingly remove barriers to treatment continuation (e.g. prior authorization). This study measured the association between MOUD continuation, relative to discontinuation, and opioid-related overdose among Medicaid beneficiaries.

DESIGN

Retrospective cohort study using landmark survival analysis. We estimated the association between treatment continuation and overdose risk at 5 points after the index, or first, MOUD claim. Censoring events included death and disenrollment.

SETTING AND PARTICIPANTS

Medicaid programs in 11 US states: Delaware, Kentucky, Maryland, Maine, Michigan, North Carolina, Ohio, Pennsylvania, Virginia, West Virginia and Wisconsin. A total of 293 180 Medicaid beneficiaries aged 18-64 years with a diagnosis of OUD and had a first MOUD claim between 2016 and 2017.

MEASUREMENTS

MOUD formulations included methadone, buprenorphine and naltrexone. We measured medically treated opioid-related overdose within claims within 12 months of the index MOUD claim.

FINDINGS

Results were consistent across states. In pooled results, 5.1% of beneficiaries had an overdose, and 67% discontinued MOUD before an overdose or censoring event within 12 months. Beneficiaries who continued MOUD beyond 60 days had a lower relative overdose hazard ratio (HR) compared with those who discontinued by day 60 [HR = 0.39; 95% confidence interval (CI) = 0.36-0.42; P < 0.0001]. MOUD continuation was associated with lower overdose risk at 120 days (HR = 0.34; 95% CI = 0.31-0.37; P < 0.0001), 180 days (HR = 0.31; 95% CI = 0.29-0.34; P < 0.0001), 240 days (HR = 0.29; 95% CI = 0.26-0.31; P < 0.0001) and 300 days (HR = 0.28; 95% CI = 0.24-0.32; P < 0.0001). The hazard of overdose was 10% lower with each additional 60 days of MOUD (95% CI = 0.88-0.92; P < 0.0001).

CONCLUSIONS

Continuation of medication for opioid use disorder (MOUD) in US Medicaid beneficiaries was associated with a substantial reduction in overdose risk up to 12 months after the first claim for MOUD.

Buprenorphine treatment episode duration, dosage, and concurrent prescribing of benzodiazepines and opioid analgesics: The effects of Medicaid prior authorization policies

BACKGROUND

Buprenorphine is an effective medication for the treatment of opioid use disorder (OUD), but the association between prior authorization policies and quality of care for individuals receiving buprenorphine treatment is not well-understood.

METHODS

Using 2006-2013 Medicaid Analytic eXtract (MAX) data from 34 states and the District of Columbia, we identified 294,031 episodes of buprenorphine treatment for OUD among individuals aged 14-64 years. We estimated generalized difference-in-differences models to examine the association between buprenorphine prior authorization policies and changes in buprenorphine treatment quality along four dimensions: (1) duration of at least 180 days, (2) dosage of at least 8 milligrams, and concurrent prescribing of (3) opioid analgesics and (4) benzodiazepines.

RESULTS

Buprenorphine prior authorization policies were associated with an 11-percentage point reduction (p < 0.01) in the likelihood of episodes with a duration of at least 180 days in the first four years after policy implementation. The policy was not associated with changes in effective dosage or concurrent prescribing of opioid analgesics or benzodiazepines.

CONCLUSIONS

Buprenorphine prior authorization policies were associated with a sizeable and significant reduction in episodes of at least 180 days duration, underscoring the importance of identifying and removing barriers to effective and appropriate OUD care.

Sociodemographic differences in quality of treatment to Medicaid enrollees receiving buprenorphine

Background: Buprenorphine is a key medication to treat opioid use disorder, but little is known about how treatment quality varies across sociodemographic groups. Objective: We examined measures of treatment quality and explored variation by sociodemographic factors. Methods: We used Medicaid MAX data from 50 states from 2006 to 2014 to identify buprenorphine treatment episodes (N = 317,494). We used multivariable logistic regression to examine the quality of buprenorphine treatment along four dimensions: (1) sufficient duration, (2) effective dosage, and concurrent prescribing of (3) opioid analgesics and (4) benzodiazepines. We explored how quality varied by race/ethnicity, age, sex, and urbanicity. Results: In adjusted models, compared to non-Hispanic White individuals, non-Hispanic Black and Hispanic individuals had lower odds of receiving effective dosage (aORs = 0.79 and 0.89, respectively) and sufficient duration (aORs = 0.64 and 0.71, respectively), and lower odds of concurrent prescribing of opioid analgesics (aORs = 0.86 and 0.85, respectively) and benzodiazepines (aORs = 0.51 and 0.59, respectively). Older individuals had higher odds of sufficient duration (aORs from 1.21-1.33), but also had higher odds of concurrent opioid analgesics prescribing (aORs from 1.29-1.56) and benzodiazepines (aORs from 1.44-1.99). Females had higher odds of sufficient duration (aOR = 1.12), but lower odds of effective dosage (aOR = 0.77) and higher odds of concurrent prescribing of opioid analgesics (aOR = 1.25) and benzodiazepines (aOR = 1.16). Compared to individuals living in metropolitan areas, individuals living in non-metropolitan areas had higher odds of sufficient duration (aORs = 1.11 and 1.24) and effective dosage (aORs = 1.06 and 1.33), and lower odds of concurrent prescribing (aORs from 0.81-0.98). Conclusions: Black and Hispanic individuals were less likely to receive effective buprenorphine dosage and sufficient duration. Quality results were mixed for older and female individuals; although these individuals were more likely to receive treatment of sufficient duration, they were also more likely to be concurrently prescribed potentially contraindicated medications, and females were less likely to receive effective dosage. Findings raise concerns about adequacy of care for minority and other at-risk populations.

Differences in buprenorphine treatment quality across physician provider specialties

BACKGROUND

The number and types of clinicians prescribing buprenorphine treatment for opioid use disorder (OUD) have increased over the past two decades, but there is little information on how potential indicators of quality of care to patients receiving buprenorphine vary by provider specialty.

METHODS

We used the Medicaid Analytic eXtract from 2009 to 2014 to identify buprenorphine treatment episodes. We assigned physician specialties to episodes based on whether an episode had at least one outpatient claim linked to specialists in addiction, behavioral health, opioid treatment program (OTP), pain, or primary care provider (PCP). We then used logistic regressions to estimate the association of linked physician specialty and achievement of the following process of care measures: at least 180-day duration, no co-occurring opioid analgesics, no co-occurring benzodiazepines, infectious disease screening, liver function test, drug and toxicology screenings, evaluation and management visits, and counseling.

RESULTS

Episodes linked to PCPs had significantly lower odds of achieving 180-day duration, an absence of opioid analgesics, an absence of benzodiazepines, drug and toxicology screenings, and counseling compared to addiction, behavioral health, and/or OTPs. Episodes linked to PCPs had significantly higher odds of undergoing infectious disease screenings, liver function tests, and evaluation and management visits compared to all specialty categories.

CONCLUSIONS

Episodes were more likely to achieve process of care measures related to the specialties of their physicians, but no specialty consistently demonstrated better performance compared to PCPs. Our findings highlight the need for models that can better integrate physical and behavioral health services for OUD treatment.

Long-term patient outcomes following buprenorphine/naloxone treatment for opioid use disorder: a retrospective analysis in a commercially insured population

Background: While buprenorphine/naloxone (buprenorphine) has been demonstrated to be an effective medication for treating opioid use disorder (OUD), an important question exists about how long patients should remain in treatment.Objective: To examine the relationship between treatment duration and patient outcomes for individuals with OUD who have been prescribed buprenorphine.Methods: We conducted a retrospective, longitudinal study using the Massachusetts All Payer Claims Database, 2013 to 2017. The study comprised over 2,500 patients, approximately one-third of whom were female, who had been prescribed buprenorphine for OUD. The outcomes were hospitalizations and emergency room (ER) visits at 36 months following treatment initiation and 12 months following treatment discontinuation. Patients were classified into four groups based on treatment duration and medication adherence: poor adherence, duration <12 months; good adherence, duration <6 months; good adherence, duration 6 to 12 months, and good adherence, duration >12 months. We conducted analyses at the patient level of the relationship between duration and outcomes.Results: Better outcomes were observed for patients whose duration was greater than 12 months. Patients in the other groups had higher odds of hospitalization at 36 months following treatment initiation: poor adherence (2.71), <6 months (1.53), and 6 to 12 months (1.42). They also had higher odds of ER visits: poor adherence (1.69), <6 months (1.51), and 6 to 12 months (1.30). Similar results were observed following treatment discontinuation.Conclusions: OUD treatment with buprenorphine should be continued for at least 12 months to reduce hospitalizations and ED visits.

Examining differences in retention on medication for opioid use disorder: An analysis of Ohio Medicaid data

BACKGROUND

Medications for opioid use disorder (MOUDs), including methadone, buprenorphine and naltrexone, are associated with lower death rates and improved quality of life for people in recovery from opioid use disorder (OUD). Less is known about each MOUD modality's association with treatment retention and the contribution of behavioral health therapy (BHT). The objectives of the current study were to estimate the association between MOUD type and treatment retention and determine whether BHT was associated with length of time retained.

METHODS

We investigated the time from initiation to discontinuation from MOUD by medication type and exposure to BHT using statewide Medicaid Claims data (N = 81,752). We estimated covariate adjusted hazard ratios (AHR) using a Cox proportional hazards model.

RESULTS

Compared to methadone, buprenorphine was associated with a higher risk of discontinuation at the time of initiation (AHR = 2.41, 95% CI = 2.28-2.55), however that difference decreased over one year of maintained retention (AHR = 1.44, 95% CI = 1.37-1.50). Compared to methadone and buprenorphine, naltrexone was associated with a higher risk of discontinuation at the time of initiation (naltrexone vs. methadone AHR = 2.49, 95% CI = 2.30-2.65; naltrexone vs. buprenorphine AHR 1.03, 95% CI = 1.00-1.07), and that relative risk increased over the course of one year of retention (naltrexone vs. methadone AHR = 3.85, 95% CI = 3.63-4.09; naltrexone vs. buprenorphine AHR = 2.67, 95% CI = 2.54-2.81). In general, independent of MOUD type, exposure to BHT during MOUD treatment was associated with a lower risk of discontinuation (AHR = 0.94, 95% CI = 0.92-0.96). However, BHT during the treatment episode was not associated with retention in the adolescent/young adult and pregnant women subpopulations.

DISCUSSION

From the standpoint of early success, methadone was associated with the lowest risk of treatment discontinuation. While buprenorphine and naltrexone were associated with similar risks at the beginning of treatment, the relative discontinuation risk for buprenorphine was less than half that of naltrexone at one year of retention. In general, BHT with MOUD was associated with a lower risk of treatment discontinuation.

A bridge too far? Distance to waivered physicians and utilization of buprenorphine treatment for opioid use disorder in West Virginia Medicaid

Background: Travel distance to medication treatment for opioid use disorder (OUD) is a challenge for many patients, but little is known about how distance is associated with medication treatment utilization. This study examines the association between distance to the nearest physician waivered to prescribe buprenorphine and patient-level buprenorphine treatment among West Virginia Medicaid expansion enrollees with diagnosed OUD. Methods: We conducted a cross-sectional spatial analysis with 2016 Medicaid claims data, separately examining individuals living in metropolitan and non-metropolitan areas. We calculated the driving distance from the centroid of patients' residential ZIP codes to the street address of the nearest waivered physician derived from the 2015 Drug Enforcement Administration listing. Regression models examined the association between distance and initiation and duration of buprenorphine (among those initiating). Results: We focused on 8,008 individuals with OUD in 2016. The nearest waivered prescriber in metropolitan areas was an average of 7.13 miles away from patients' residential ZIP codes and 14.54 miles in non-metropolitan areas. The providers they actually visited were a mean of 33.63 miles away in metro areas and 46.36 in non-metropolitan areas. In multivariable analyses, compared to those living <10 miles from a waivered physician, living >20 miles from a waivered physician was associated with -32.13 fewer days of treatment (95% CI: -57.86, -6.40) in metro areas and -16.70 fewer days in non-metro areas (95% CI: -32.32, -1.08). Conclusions: Longer travel distance to buprenorphine treatment is associated with a shorter duration of care that is likely to be clinically meaningful.

Spillover of Medicaid Expansion to Prescribing of Opioid Use Disorder Medications in Medicare Part D

OBJECTIVE

The authors examined whether there were positive spillovers in opioid use disorder medication prescribing to Medicare Part D beneficiaries in Medicaid expansion states. Although prior studies have shown several positive benefits of Medicaid expansion for Americans with opioid use disorder, research has not examined potential spillovers to Medicare beneficiaries who have been hit hard by the opioid crisis.

METHODS

Prescribing data were taken from the Medicare Part D Prescription Public Use File (2010-2017). A difference-in-differences linear regression framework was used to identify spillovers in prescribing of buprenorphine and injectable naltrexone to Medicare Part D beneficiaries in Medicaid expansion states. Three sets of dependent variables measured medication prescribing at the county-year level (N=24,850). All models included county and year fixed effects, with standard errors clustered at the state level to address within-state serial correlation.

RESULTS

Medicaid expansion was associated with an increase in the probability of a county having an injectable naltrexone provider (p<0.01). After expansion, the number of buprenorphine providers in expansion states increased by 5.6% (p<0.05), and the number of injectable naltrexone providers increased by 3.3% (p<0.01), relative to nonexpansion states. Expansion was associated with a 23.1% (p<0.01) increase in the number of daily doses of injectable naltrexone, relative to nonexpansion states.

CONCLUSIONS

Medicaid expansion states may be better equipped to address the opioid crisis because of direct benefits to Medicaid beneficiaries and availability of opioid use disorder medications for Medicare Part D beneficiaries. However, additional efforts are likely needed to close the opioid use disorder treatment gap for Medicare beneficiaries.

Twelve-Month Retention in Opioid Agonist Treatment for Opioid Use Disorder Among Patients With and Without HIV

Although opioid agonist therapy (OAT) is associated with positive health outcomes, including improved HIV management, long-term retention in OAT remains low among patients with opioid use disorder (OUD). Using data from the Veterans Aging Cohort Study (VACS), we identify variables independently associated with OAT retention overall and by HIV status. Among 7,334 patients with OUD, 13.7% initiated OAT, and 27.8% were retained 12-months later. Likelihood of initiation and retention did not vary by HIV status. Variables associated with improved likelihood of retention included receiving buprenorphine (relative to methadone), receiving both buprenorphine and methadone at some point over the 12-month period, or diagnosis of HCV. History of homelessness was associated with a lower likelihood of retention. Predictors of retention were largely distinct between patients with HIV and patients without HIV. Findings highlight the need for clinical, systems, and research initiatives to better understand and improve OAT retention.

Impact of High Deductible Health Plans on Continuous Buprenorphine Treatment for Opioid Use Disorder

BACKGROUND

Long-term, continuous treatment with medication like buprenorphine is the gold standard for opioid use disorder (OUD). As high deductible health plans (HDHPs) become more prevalent in the commercial insurance market, they may pose financial barriers to people with OUD.

OBJECTIVE

To estimate the impact of HDHPs on continuity of buprenorphine treatment, concurrent visits for counseling/psychotherapy and OUD-related evaluation and management, and out-of-pocket spending.

DESIGN

Difference-in-differences analysis comparing trends in outcomes among enrollees whose employers offer an HDHP (treatment group) to enrollees whose employers never offer an HDHP (comparison group).

PARTICIPANTS

Enrollees with OUD from a national sample of commercial health insurance plans during 2007-2017 who initiate buprenorphine treatment.

MAIN MEASURES

Number of days of continuous buprenorphine treatment; probabilities of continuous buprenorphine treatment ≥30, ≥90, ≥180, and ≥365 days; probability of concurrent (i.e., within the same month) behavioral therapy (i.e., counseling or psychotherapy); probability of concurrent OUD-related evaluation and management visits; proportions of buprenorphine treatment episodes with counseling/psychotherapy and evaluation and management visits; and out-of-pocket (OOP) spending on buprenorphine, behavioral therapy, and evaluation and management visits.

KEY RESULTS

HDHPs were associated with an average increase of $98 (95% CI: $48, $150) on OOP spending on buprenorphine per treatment episode but no change in the number of days of continuous buprenorphine treatment or concurrent use of related services.

CONCLUSIONS

HDHPs do not reduce continuity of buprenorphine treatment among commercially insured enrollees with OUD but may increase financial burden for this population.

Opioid overdose survivors: Medications for opioid use disorder and risk of repeat overdose in Medicaid patients

BACKGROUND

Patients with medically-treated opioid overdose are at high risk for subsequent adverse outcomes, including repeat overdose. Understanding factors associated with repeat overdose can aid in optimizing post-overdose interventions.

METHODS

We conducted a longitudinal, retrospective cohort study using NJ Medicaid data from 2014 to 2019. Medicaid beneficiaries aged 12-64 with an index opioid overdose from 2015 to 2018 were followed for one year for subsequent overdose. Exposures included patient demographics; co-occurring medical, mental health, and substance use disorders; service and medication use in the 180 days preceding the index overdose; and MOUD following index overdose.

RESULTS

Of 4898 individuals meeting inclusion criteria, 19.6% had repeat opioid overdoses within one year. Index overdoses involving heroin/synthetic opioids were associated with higher repeat overdose risk than those involving prescription/other opioids only (HR = 1.44, 95% CI = 1.22-1.71). Risk was higher for males and those with baseline opioid use disorder diagnosis or ED visits. Only 21.7% received MOUD at any point in the year following overdose. MOUD was associated with a large decrease in repeat overdose risk among those with index overdose involving heroin/synthetic opioids (HR = 0.30, 95% CI = 0.20-0.46). Among those receiving MOUD at any point in follow-up, 10.5% (112/1065) experienced repeat overdose versus 22.1% (848/3833) for those without MOUD.

CONCLUSIONS

Repeat overdose was common among individuals with medically-treated opioid overdose. Risk factors for repeat overdose varied by type of opioid involved in index overdose, with differential implications for intervention. MOUD following index opioid overdose involving heroin/synthetic opioids was associated with reduced repeat overdose risk.

The Impact of Parental Opioid Use Disorder on Children in Rural Texas

The impact of opioid use disorder (OUD) on children is of increasing concern to providers and communities and is yet to be fully understood. Children and families in rural areas are particularly vulnerable due to decreased access to care, lower socioeconomic status, and lower rates of health insurance coverage. This qualitative secondary data analysis of transcripts from interviews with community stakeholders specifically examined responses when asked how parental OUD impacted children in their rural communities. Methods and Materials: As part of a larger community assessment, 11 focus group and three individual interviews with a variety of stakeholders most likely to encounter those with or at risk for substance use disorder from a predominately rural region of Texas were held in October of 2019. During one-hour sessions a scripted interview guide was used to ask open-ended questions to identify the prevalence and impact of OUD within the community. Transcripts of recorded interviews were coded by three researchers using conventional content analysis focusing on discussion of how parental OUD impacted children in their rural communities. Codes were classified into themes based on consensus. Results: Identified themes were (1) Community Concern for Families; (2) Impaired Parents, Neglected Children, and (3) Intergenerational Normalization of Substance Misuse. Conclusions: The impact of parental OUD and SUD was a concern for participants. Findings have implications for strategies to prevent and mitigate adverse outcomes for children and families in rural areas.

APCDs can Provide Important Insights for Surveilling the Opioid Epidemic, With Caveats

State-level all-payer claims databases (APCDs) are a possible new public health surveillance tool, but their reliability is unclear. We compared Colorado's APCD with other state-level databases for use in monitoring the opioid epidemic (Colorado Hospital Association and Colorado's Prescription Drug Monitoring Program database for 2010-2017), using descriptive analyses comparing quarterly counts/rates of opioid-involved inpatient and emergency department visits and counts/rates of 30-day opioid fills between databases. Utilization is lower in the Colorado APCD than the other databases for all outcomes but trends are parallel and consistent between databases. State APCDs hold promise for researchers, but they may be better suited to individual-level analyses or comparisons of providers than for surveillance of public health trends related to addiction.

A machine learning based two-stage clinical decision support system for predicting patients' discontinuation from opioid use disorder treatment: retrospective observational study

Background

Buprenorphine is a widely used treatment option for patients with opioid use disorder (OUD). Premature discontinuation from this treatment has many negative health and societal consequences.

Objective

To develop and evaluate a machine learning based two-stage clinical decision-making framework for predicting which patients will discontinue OUD treatment within less than a year. The proposed framework performs such prediction in two stages: (i) at the time of initiating the treatment, and (ii) after two/three months following treatment initiation.

Methods

For this retrospective observational analysis, we utilized Massachusetts All Payer Claims Data (MA APCD) from the year 2013 to 2015. Study sample included 5190 patients who were commercially insured, initiated buprenorphine treatment between January and December 2014, and did not have any buprenorphine prescription at least one year prior to the date of treatment initiation in 2014. Treatment discontinuation was defined as at least two consecutive months without a prescription for buprenorphine. Six machine learning models (i.e., logistic regression, decision tree, random forest, extreme-gradient boosting, support vector machine, and artificial neural network) were tested using a five-fold cross validation on the input data. The first-stage models used patients’ demographic information. The second-stage models included information on medication adherence during the early phase of treatment based on the proportion of days covered (PDC) measure.

Results

A substantial percentage of patients (48.7%) who started on buprenorphine discontinued the treatment within one year. The area under receiving operating characteristic curve (C-statistic) for the first stage models varied within a range of 0.55 to 0.59. The inclusion of knowledge regarding patients’ adherence at the early treatment phase in terms of two-months and three-months PDC resulted in a statistically significant increase in the models’ discriminative power (p-value < 0.001) based on the C-statistic. We also constructed interpretable decision classification rules using the decision tree model.

Conclusion

Machine learning models can predict which patients are most at-risk of premature treatment discontinuation with reasonable discriminative power. The proposed machine learning framework can be used as a tool to help inform a clinical decision support system following further validation. This can potentially help prescribers allocate limited healthcare resources optimally among different groups of patients based on their vulnerability to treatment discontinuation and design personalized support systems for improving patients’ long-term adherence to OUD treatment.

Buprenorphine prescriber monthly patient caseloads: An examination of 6-year trajectories

BACKGROUND

Many active buprenorphine prescribers treat few patients monthly, but little information is available regarding how prescribers' buprenorphine caseload fluctuates over time or how long it takes new prescribers to reach higher patient caseloads. We examine buprenorphine-prescribing clinicians' patient caseloads over time and explore prescriber characteristics associated with different caseload trajectories.

METHODS

Using 2006-2018 national buprenorphine pharmacy claims, we calculate monthly patient caseloads for buprenorphine prescribers for 6 years following a clinician's first filled buprenorphine prescription. We use K-means clustering to identify clusters of clinician caseload trajectories and bivariate analyses to examine prescriber and county characteristics associated with different trajectory classes.

RESULTS

We identified 42,067 buprenorphine prescribers with 3 trajectory classes. High-volume (1.4%;n = 571) whose mean monthly patient caseload increased to approximately 40 patients through the initial 20 months and stabilized at 40 or more patients; moderate-volume (9.2%;n = 3891) whose mean patient caseload increased during the initial 20 months, stabilizing at 15-20 patients; and low-volume (89.4%;n = 37,605), who typically had fewer than 5 patients monthly. Most low-volume prescribers (n = 31,470; 83.7% of all prescribers) initially treated 1-2 patients for several months, followed by no subsequent prescribing.

CONCLUSION

Almost three-quarters of buprenorphine prescribers treated no more than a few patients for several months before ceasing buprenorphine prescribing; only 10% of prescribers averaged more than 10 patients per month over the next 6 years. Efforts are needed to identify factors contributing to prescribers being willing to continue prescribing buprenorphine over time and to prescribe to more patients in order to increase access to buprenorphine treatment.

A review of sleep disturbance in adults prescribed medications for opioid use disorder: potential treatment targets for a highly prevalent, chronic problem

BACKGROUND

Sleep disturbance in individuals prescribed medications for opioid use disorder (MOUD) is common, though the nature and progression of such concerns are difficult to discern due to differing terminology and assessment type between studies. Accurately identifying and treating sleep problems in this growing population has the potential to improve comorbidity and other MOUD outcomes.

OBJECTIVE

The aim of the present review is to provide an overview of sleep in individuals stabilized on MOUD. Specifically, the following aspects of sleep were reviewed: 1) prevalence of clinically significant sleep disturbance; 2) sleep disturbance compared to findings in those not prescribed MOUD; 3) correlates of sleep disturbance; 4) self-reported sleep compared to objective measures.

METHOD

Studies were identified using 6 large databases and included if they contained at least one measure of sleep during MOUD treatment as usual. Studies were excluded if they were case studies, not available in English, or participants were in withdrawal or detoxification.

RESULTS

Forty-two studies were included and categorized by type of sleep assessment: validated self-report questionnaire; provider-assessed; polysomnography; multi-method. Correlates were included if they were statistically significant (generally p < 0.05).

CONCLUSIONS

This review indicates there is a high prevalence of chronic self-reported sleep disturbance (eg, insomnia symptoms) in this population and suggests quantitative sleep parameters (eg, total sleep time) and respiratory problems during sleep are worse than in the general population. These sleep problems are correlated with psychiatric comorbidity and other substance use. Other correlates (eg, sociodemographic factors) require further study to draw definitive conclusions.

Stigmatization of medications for opioid use disorder in 12-step support groups and participant responses

Background: 12-step groups are the most common approach to managing opioid use disorder (OUD) in the U.S. Medications for OUD (MOUD) are the most effective tool for preventing opioid misuse and relapse. Previous research has identified stigma of MOUD in 12-step groups. Objectives: We sought to identify how MOUD stigma is operationalized in 12-step groups and to identify responses to stigma. Methods: We recruited individuals with both MOUD experience and 12-step group experience from three syringe exchange programs in the U.S. using snowball sampling. We conducted individual telephone semi-structured interviews during 2018 and 2019. We coded data in Dedoose software and conducted thematic analysis using iterative categorization. Results: We recruited 30 individuals meeting our inclusion criteria. The following stigma operationalization methods were identified: prohibiting people using MOUD from speaking at meetings; encouraging shortened duration of MOUD treatment; refusing to sponsor people using MOUD; and refusing to let people using MOUD claim recovery time. Responses to stigma included the following: feeling shame; feeling anger; shopping around for different groups, leaving the group, or forming a new group; not revealing MOUD utilization or only telling a sponsor; speaking out on behalf of MOUD; and using cognitive approaches to avoid stigma internalization. Cognitive approaches included believing that anti-MOUD stigma is contrary to 12-step principles; disregarding statements as inaccurate based on one's experience of MOUD benefits; and accepting that all groups of humans have some ignorant people. Conclusion: Healthcare systems should help address MOUD stigma experienced by patients in 12-step groups, such as by offering non-12-step alternative groups and encouraging MOUD healthcare providers to prepare patients for potential stigma they may face. Some stigma response options, like shopping around for different groups, may not be feasible in rural areas or for participants newer to recovery.

Who stays in medication treatment for opioid use disorder? A national study of outpatient specialty treatment settings

BACKGROUND

Maintenance treatments with medications for opioid use disorder (MOUD) are highly effective at reducing overdose risk while patients remain in care. However, few patients initiate medication and retention remains a critical challenge across settings. Much remains to be learned about individual and structural factors that influence successful retention, especially among populations dispensed MOUD in outpatient settings.

METHODS

We examined individual and structural characteristics associated with MOUD treatment retention among a national sample of adults seeking MOUD treatment in outpatient substance use treatment settings using the 2017 Treatment Episode Dataset-Discharges (TEDS-D). The study assessed predictors of retention in MOUD using multivariate logistic regression and accelerated time failure models.

RESULTS

Of 130,300 episodes of MOUD treatment in outpatient settings, 36% involved a duration of care greater than six months. The strongest risk factors for treatment discontinuation by six months included being of younger age, ages 18-29 ((OR):0.52 [95%CI:0.50-0.54]) or 30-39 (OR:0.57 [95%CI:0.55-0.59); experiencing homelessness (OR: 0.70 [95%CI:0.66-0.73]); co-using methamphetamine (OR:0.48 [95%CI:0.45-0.51]); and being referred to treatment by a criminal justice source (OR:0.55 [95%CI:0.52-0.59) or by a school, employer, or community source (OR:0.71 [95%CI:0.66-0.76).

CONCLUSIONS

Improving retention in treatment is a pivotal stage in the OUD cascade of care and is critical to reducing overdose deaths. Efforts should prioritize interventions to improve retention among patients who are both prescribed and dispended MOUD, especially youth, people experiencing homelessness, polysubstance users, and people referred to care by the justice system who have especially short stays in care.

Changes in Buprenorphine Treatment After Medicaid Expansion

OBJECTIVE

The authors examined changes in buprenorphine treatment following Medicaid expansion, including the contribution of Medicaid-financed prescriptions.

METHODS

Buprenorphine pharmacy claims for patients were identified in the 2012-2018 IQVIA Longitudinal Prescription Data (LRx) data set, including 79.8% of U.S. retail prescriptions in 2012, increasing to 92.0% in 2018. A cohort analysis was used to assess the mean number of patients in a yearly quarter filling one or more buprenorphine prescriptions during preexpansion (2012-2013) and postexpansion (2014-2018) periods in expansion and nonexpansion states. Interrupted time-series analysis estimated associations of Medicaid expansion period with change in Medicaid-financed treatment. Separate analyses evaluated changes in duration and dose of new treatment episodes focused on mean quarterly number of patients treated with buprenorphine and proportions of new treatment episodes ≥180 days long and with ≥16 mg/day.

RESULTS

Between preexpansion and postexpansion, the mean quarterly number of patients taking buprenorphine increased by 93,300 in expansion states and by 84,960 in nonexpansion states. Corresponding changes for Medicaid-financed patients were 28,760 and 4,050, respectively. The fastest growth in Medicaid-financed treatment occurred among patients ages 25-44. Among new Medicaid-financed treatment episodes, little change was found in the proportion reaching the 180-day threshold, and declines were observed in the proportion receiving ≥16 mg/day.

CONCLUSIONS

The findings are consistent with previous research indicating that Medicaid expansion has increased Medicaid-financed buprenorphine treatment. However, because of offsetting changes in other payment groups, the overall increase in expansion states was similar to the increase in nonexpansion states.

Buprenorphine utilization among all Washington State residents' based upon prescription monitoring program data - Characteristics associated with two measures of retention and patterns of care over time

BACKGROUND

Opioid use disorder is a serious health condition for which buprenorphine is proven effective, yet providers substantially underutilize buprenorphine. We present two approaches to measuring treatment duration, factors associated with retention, and patterns of care.

METHODS

The study determined incident buprenorphine prescribing for all Washingtonians utilizing prescription monitoring program data from 2012 to 2019. The study calculated episode of care and cumulative time in care. Generalized linear models estimated associations among the length of the first episode of care and cumulative time in care with sex, age, and rurality. Cox proportional hazards models estimated the time to discontinuing buprenorphine for the first four episodes of care and time to discontinuing the last episode of care.

RESULTS

Mean and median duration of the first episode were 320 and 84 days, respectively, and for cumulative time in care 308 and 195 days. A minority of peoples' first episodes exceeded 180 days (37%). Being female and older were significantly associated with longer first episodes and cumulative time in care. Survival analyses indicated that the proportion of those still in care at 6, 12, and 24 months into their first episode of care declined for those with more than one episode of care; conversely the study found much smaller differences in retention for the last episode of care, indicating that many people were eventually able to be retained in care for longer periods of time.

CONCLUSION

Episodes of care and cumulative time on buprenorphine were both short compared to minimum quality recommendations of 180 days. Median cumulative time in care was double that of the first episode, highlighting that many people engage in subsequent episodes of substantial length. Episode of care and cumulative care analyses should inform states, payers, health care systems and providers in measuring and setting treatment duration goals.

Impact Of Long-Term Buprenorphine Treatment On Adverse Health Care Outcomes In Medicaid

The optimal, or even minimum, duration of medication treatment for opioid use disorder (OUD) needed to improve long-term outcomes has not been established empirically. As a result, health plans set potentially restrictive treatment standards to guide benefits and payment. To address this gap, we used a National Quality Forum measure for OUD medication treatment duration (180 days) to examine the impact of longer treatment on health care outcomes within a key population of Medicaid enrollees. Compared to buprenorphine discontinuation around the National Quality Forum benchmark (six to nine months), longer treatment (at least fifteen months) was associated with relative reductions in the risk of having all-cause inpatient (-52 percent) and emergency department (-26 percent) use, opioid-related hospital use (-128 percent), overdose events (-173 percent), and opioid prescriptions (-120 percent) and in the rate of prescription opioid use (-124 percent). We argue that these clinical benefits provide a rationale for policies that increase access to longer-term buprenorphine treatment, including lengthening the standards for minimum treatment duration.

Quality of Buprenorphine Care for Insured Adults With Opioid Use Disorder

AIM

The aim of this study was to characterize quality of buprenorphine care for opioid use disorder (OUD) by quantifying buprenorphine initiation, engagement, and maintenance for individuals in a large, diverse, real-world cohort in the United States.

DESIGN

This was a retrospective cohort analysis.

SETTING

OUD treatment in the outpatient setting.

PARTICIPANTS

A total of 45,210 commercially insured and Medicare Advantage (MA) enrollees 18 years or older in the OptumLabs Data Warehouse with an index diagnosis of OUD between January 1, 2018 and December 31, 2018.

INTERVENTIONS

Treatment with buprenorphine.

MEASUREMENTS

We calculated 6 measures of buprenorphine treatment quality. We conducted survival analyses to characterize treatment duration and logistic regressions to evaluate the association between clinical and sociodemographic characteristics and quality.

FINDINGS

Of 45,210 eligible individuals with OUD, ∼1 in 10 (n=4600, 10.2%) initiated buprenorphine within 365 days following diagnosis (Measure #1) and 2850 individuals (6.3%) initiated buprenorphine within 14 days of diagnosis (Measure #2). Of individuals initiating treatment within 14 days of diagnosis, 1769 (62.1%) had 2 or more buprenorphine claims within 34 days of initiation (Measure #3). Of the 4600 individuals who received buprenorphine, 2300 (50.0%) were maintained in care with 180 days or more of covered buprenorphine treatment during 365 days after diagnosis (Measure #4). Finally, of the 4600 individuals who received buprenorphine, 2543 (55.3%) did not fill any other concurrent opioid analgesic (Measure #5) and 2951 (64.2%) did not fill any concurrent benzodiazepine (Measure #6). Quality was generally lower for individuals with MA compared with commercial coverage and among Hispanic and Black adults compared with White adults.

CONCLUSION

Widespread gaps exist in quality of buprenorphine treatment initiation, engagement, and maintenance among commercially insured and MA enrollees with OUD.

Patterns of patient discontinuation from buprenorphine/naloxone treatment for opioid use disorder: A study of a commercially insured population in Massachusetts

BACKGROUND

Research has shown buprenorphine/naloxone to be an effective medication for treating individuals with opioid use disorder. At the same time, treatment discontinuation rates are reportedly high though much of the extant evidence comes from studies of the Medicaid population.

OBJECTIVES

To examine the pattern and determinants of buprenorphine/naloxone treatment discontinuation in a population of commercially insured individuals.

RESEARCH DESIGN

We performed a retrospective observational analysis of Massachusetts All Payer Claims Data (MA APCD) covering years 2013 through 2017. We defined treatment discontinuation as a gap of 60 consecutive days without a prescription for buprenorphine/naloxone within a time frame of 24 months from the initiation of treatment. A mixed-effect Cox proportional hazard model examined the associated risk of discontinuing treatment with baseline predictors.

SUBJECTS

A total of 5134 individuals who were commercially insured during the study period.

MEASURES

Buprenorphine/naloxone treatment discontinuation.

RESULTS

Overall 75% of individuals had discontinued treatment within two years of initiating treatment, and median time to discontinuation was 300 days. Patients aged between 18 and 24 years (HR = 1.436, 95%, CI = 1.240-1.663) and receiving treatment from prescribers with high panel-size (HR = 1.278, 95% CI = 1.112-1.468) had higher risk of discontinuing treatment. On the contrary, patients receiving treatment from multiple prescribers had lower associated risk of treatment discontinuation.

CONCLUSIONS

A substantial percentage of patients discontinue treatment well before they can typically meet criteria for sustained remission. Further investigations should assess the clinical outcomes following premature discontinuation and identify strategies for retaining patients in treatment.

Patient Satisfaction With Medications for Opioid Use Disorder Treatment via Telemedicine: Brief Literature Review and Development of a New Assessment

Telemedicine is increasingly being used to treat patients with opioid use disorder (OUD). It has particular value in rural areas of the United States impacted by the opioid crisis as these areas have a shortage of trained addiction medicine providers. Patient satisfaction significantly impacts positive clinical outcomes in OUD treatment and thus is of great clinical interest. Yet little is known regarding patient satisfaction with the increasingly important platform of telemedicine-delivered medications for opioid use disorder (tMOUD). The goal of this review is to provide a summary of the existing literature regarding patient satisfaction with tMOUD. We also submit a novel survey based on an existing framework designed to assess tMOUD satisfaction, and present pilot data (N = 14) acquired from patients engaged in rural tMOUD care. Telemedicine provides a feasible method for delivering MOUD in rural areas, and our survey provides a useful assessment to measure patient satisfaction with tMOUD. In light of the pressing need for innovative and technology-driven solutions to the opioid epidemic (especially in light of the COVID-19 pandemic), future research should focus on the development and refinement of tools to assess the important implementation goal of patient satisfaction.

Operationalizing and selecting outcome measures for the HEALing Communities Study

BACKGROUND

The Helping to End Addiction Long-termSM (HEALing) Communities Study (HCS) is a multisite, parallel-group, cluster randomized wait-list controlled trial evaluating the impact of the Communities That HEAL intervention to reduce opioid overdose deaths and associated adverse outcomes. This paper presents the approach used to define and align administrative data across the four research sites to measure key study outcomes.

METHODS

Priority was given to using administrative data and established data collection infrastructure to ensure reliable, timely, and sustainable measures and to harmonize study outcomes across the HCS sites.

RESULTS

The research teams established multiple data use agreements and developed technical specifications for more than 80 study measures. The primary outcome, number of opioid overdose deaths, will be measured from death certificate data. Three secondary outcome measures will support hypothesis testing for specific evidence-based practices known to decrease opioid overdose deaths: (1) number of naloxone units distributed in HCS communities; (2) number of unique HCS residents receiving Food and Drug Administration-approved buprenorphine products for treatment of opioid use disorder; and (3) number of HCS residents with new incidents of high-risk opioid prescribing.

CONCLUSIONS

The HCS has already made an impact on existing data capacity in the four states. In addition to providing data needed to measure study outcomes, the HCS will provide methodology and tools to facilitate data-driven responses to the opioid epidemic, and establish a central repository for community-level longitudinal data to help researchers and public health practitioners study and understand different aspects of the Communities That HEAL framework.

Adherence to buprenorphine: An analysis of prescription drug monitoring program data

BACKGROUND

Although buprenorphine is an evidence-based treatment for opioid use disorder (OUD), many individuals discontinue treatment soon after starting. This study assesses predictors of buprenorphine adherence using Prescription Drug Monitoring Program (PDMP) data.

METHODS

PDMP data for Philadelphia, Pennsylvania were used to measure 180-day adherence to buprenorphine among new initiates. Adherence was classified using percent days covered (PDC), and new initiates with PDC ≥ 0.80 were classified as adherent. Multivariable logistic regression was conducted to determine factors associated with buprenorphine adherence.

RESULTS

Between January 2017 and December 2018, 10,669 Philadelphia residents initiated buprenorphine and 26.6 % remained adherent after 180 days. Demographic factors associated with greater odds of adherence included age category and female sex (aOR: 1.37; 95 % CI: 1.25-1.50). Those filling an opioid prescription, other than buprenorphine, during the follow-up period had lower odds of adherence than those who did not fill an opioid prescription (aOR: 0.62; 95 % CI: 0.50-0.77). Odds of adherence was greater for those on the film formulation (aOR: 1.37; 95 % CI: 1.25-1.50) than the tablet formulation. Those filling medium (aOR: 1.76; 95 % CI: 1.55-2.00) and high dose (aOR: 5.11; 95 % CI: 4.30-6.17) buprenorphine prescriptions had higher odds of adherence than those filling low dose prescriptions.

CONCLUSIONS

Individual demographics, receipt of an opioid prescription, buprenorphine formulation, and buprenorphine dose were all associated with adherence to buprenorphine. Ongoing strategies to address OUD need to prioritize increasing retention in long-term evidence-based buprenorphine treatment while also encouraging providers to regularly consult the PDMP to ensure patient compliance.

Situating the Continuum of Overdose Risk in the Social Determinants of Health: A New Conceptual Framework

Policy Points This article reconceptualizes our understanding of the opioid epidemic and proposes six strategies that address the epidemic's social roots. In order to successfully reduce drug-related mortality over the long term, policymakers and public health leaders should develop partnerships with people who use drugs, incorporate harm reduction interventions, and reverse decades of drug criminalization policies.

CONTEXT

Drug overdose is the leading cause of injury-related death in the United States. Synthetic opioids, predominantly illicit fentanyl and its analogs, surpassed prescription opioids and heroin in associated mortality rates in 2016. Unfortunately, interventions fail to fully address the current wave of the opioid epidemic and often omit the voices of people with lived experiences regarding drug use. Every overdose death is a culmination of a long series of policy failures and lost opportunities for harm reduction.

METHODS

In this article, we conducted a scoping review of the opioid literature to propose a novel framework designed to foreground social determinants more directly into our understanding of this national emergency. The "continuum of overdose risk" framework is our synthesis of the global evidence base and is grounded in contemporary theories, models, and policies that have been successfully applied both domestically and internationally.

FINDINGS

De-escalating overdose risk in the long term will require scaling up innovative and comprehensive solutions that have been designed through partnerships with people who use drugs and are rooted in harm reduction.

CONCLUSIONS

Without recognizing the full drug-use continuum and the role of social determinants, the current responses to drug overdose will continue to aggravate the problem they are trying to solve.

Opioid agonist treatment and fatal overdose risk in a state-wide US population receiving opioid use disorder services

BACKGROUND AND AIMS

Evidence from randomized controlled trials establishes that medication treatment with methadone and buprenorphine reduces opioid use and improves treatment retention. However, little is known about the role of such medications compared with non-medication treatments in mitigating overdose risk among US patient populations receiving treatment in usual care settings. This study compared overdose mortality among those in medication versus non-medication treatments in specialty care settings.

DESIGN

Retrospective cohort study using state-wide treatment data linked to death records. Survival analysis was used to analyze data in a time-to-event framework.

SETTING

Services delivered by 757 providers in publicly funded out-patient specialty treatment programs in Maryland, USA between 1 January 2015 and 31 December 2016.

PARTICIPANTS

A total of 48 274 adults admitted to out-patient specialty treatment programs in 2015-16 for primary diagnosis of opioid use disorder.

MEASUREMENTS

Main exposure was time in medication treatment (methadone/buprenorphine), time following medication treatment, time exposed to non-medication treatments and time following non-medication treatment. Main outcome was opioid overdose death during and after treatment. Hazard ratios were calculated using Cox proportional hazard regression. Propensity score weights were adjusted for patient information on sex, age, race, region of residence, marital and veteran status, employment, homelessness, primary opioid, mental health treatment, arrests and criminal justice referral.

FINDINGS

The study population experienced 371 opioid overdose deaths. Periods in medication treatment were associated with substantially reduced hazard of opioid overdose death compared with periods in non-medication treatment [adjusted hazard ratio (aHR) = 0.18, 95% confidence interval (CI) = 0.08-0.40]. Periods after discharge from non-medication treatment (aHR = 5.45, 95% CI = 2.80-9.53) and medication treatment (aHR = 5.85, 95% CI = 3.10-11.02) had similar and substantially elevated risks compared with periods in non-medication treatments.

CONCLUSIONS

Among Maryland patients in specialty opioid treatment, periods in treatment are protective against overdose compared with periods out of care. Methadone and buprenorphine are associated with significantly lower overdose death compared with non-medication treatments during care but not after treatment is discontinued.