Defining a recovery-oriented cascade of care for opioid use disorder: A community-driven, statewide cross-sectional assessment

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Assessing inequities in buprenorphine treatment across the care cascade

OBJECTIVE

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

DESIGN

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

RESULTS

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

CONCLUSIONS AND RELEVANCE

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

Opioid use disorder Cascade of care: defining a taxonomy for measurement

Background: The opioid use disorder Cascade of care (OUD Cascade) is a public health framework used by federal/state/other agencies and researchers to facilitate monitoring and evaluating responses to the opioid epidemic, including surveillance and performance evaluation. As the use of the framework proliferates, there is an urgent need to standardize stage definitions to accurately monitor and improve patient outcomes and to align interpretation of findings across settings.Objectives: Define a taxonomy to uniformly apply the OUD Cascade to improve delivery of OUD services and better compare patient outcomes across settings and populations.Methods: We conducted a narrative review and synthesis focused on research and guidelines defining and measuring four key OUD Cascade stages: OUD identification, service engagement, medication initiation, and retention. Included articles come from peer-reviewed literature and define and/or operationalize OUD Cascade stages and associated measures across six characteristics based on an adaptation of the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist including: 1) settings, 2) specific population, 3) perspective, 4) time horizon, 5) assumptions, and 6) analytic method.Results: Our review (n = 27 articles) and synthesis provide an overview of how OUD Cascade definitions and framework designs have been variously applied. We found considerable heterogeneity in study approaches for all four OUD Cascade stages. We define a taxonomy to guide future research emphasizing standardized definitions to harmonize efforts across settings. In particular, we emphasize the need for clarity in defining criteria for sample construction (i.e. Identification), clear distinctions between receipt of care services generally (i.e. Engagement) from MOUD Initiation specifically, and Retention definitions that use a 30+ day gap in treatment to define discontinuation.Conclusion: Establishing a shared taxonomy for key terms specifying OUD Cascade stages will help the field advance, compare approaches and results across settings, and improve population-level patient outcomes.

Empowering Communities and Enhancing Public Safety: Stakeholders' Perspectives on Opioid Overdose Prevention Strategies in Boston

The opioid crisis in Boston necessitated multifaceted prevention strategies. This qualitative descriptive study engaged stakeholders' perspectives to explore the role of community empowerment and educational strategies in opioid overdose prevention. Fifteen officials from law enforcement, healthcare, policy, and community organizations participated in semi-structured interviews conducted from January to March 2024. Thematic analysis using Braun and Clarke's approach, facilitated by MAXQDA software, revealed three themes: Perceived Role of Community Empowerment in Opioid Overdose Prevention, highlighting the importance of local leadership, personal recovery, and grassroots initiatives; Effectiveness of Educational Strategies in Opioid Overdose Prevention, focusing on awareness, harm reduction, and bridging gaps post-incarceration; and Challenges and Innovations in Empowering Communities and Enhancing Public Safety, emphasizing the integration of law enforcement with technological solutions and community collaboration. The study underscores the importance of integrating public health approaches with enhanced law enforcement strategies and community-driven solutions to balance immediate intervention with long-term community resilience.

Reflections on the Collaborative Story Analysis Method to Understand Qualitative Perspectives of Indigenous Syringe Services Program Clients

Many scholars have cautioned that the use of Western research methods is problematic in studies with Indigenous communities given colonialist histories that have exploited Indigenous populations. One solution has been to utilize a Community-Based Participatory Research (CBPR) approach to enhance equity in research partnerships. Employing a CBPR approach, however, does not necessitate the inclusion of Indigenous Research Methods, an additional step that can further benefit studies with their explicit alignment with Indigenous worldviews and values. In a CBPR project aiming to understand Indigenous harm reduction clients' perspectives of barriers and facilitators to opioid use disorder treatment, our research group assembled a multidisciplinary qualitative data analysis team that included diverse tribal community members and academics. Sparse literature was available to guide the use of Indigenous Research Methods for the qualitative data analysis phase of the research. To address this gap, the aims of this process paper are: (1) to describe the implementation of the Collaborative Story Analysis method, and (2) in the Indigenous tradition of honoring and sharing stories, describe our analysis team's experiences and perceptions of implementing this Indigenous Research Method. Through a series of process discussions, the analysis team found that applying the Collaborative Story Analysis method: (1) honored relationships and story, (2) strengthened the depth of analysis, and (3) exhibited tensions when working in a dominant Western culture. Through sharing our team's experiences, the aspiration is that others can use these insights in their own consideration and implementation of an Indigenous Research Method for qualitative data analysis.

Application of an opioid use disorder cascade of care in a large public health system

Background: Over the past decade, hospitals and health systems have increasingly adopted interventions to address the needs of patients with substance use disorders. The Opioid Use Disorder (OUD) Cascade of Care provides a framework for organizing and tracking patient health milestones over time and can assist health systems in identifying areas of intervention to maximize the impact of evidence-based services. However, detailed protocols are needed to guide health systems in how to operationalize the OUD Cascade and track outcomes using electronic health records.Objective: In this paper, we describe the process of operationalizing and applying the OUD Cascade in a large, urban, public hospital system.Methods: Through this case example, we describe the technical processes around data mining, as well as the decision-making processes, challenges encountered, lessons learned from compiling preliminary patient data and defining stages and outcome measures for the OUD Cascade of Care, and preliminary dataResults: We identified 33,616 (26.17% female) individuals with an OUD diagnosis. Almost half (48%) engaged with addiction services, while only 10.7% initiated medication-based treatment in an outpatient setting, 6.7% had timely follow-up, and 3.5% were retained for a minimum of 6 months.Conclusion: The current paper serves as a primer for other health systems seeking to implement data-informed approaches to guide more efficient care and improved substance use-related outcomes. An OUD Cascade of Care must be tailored to local systems based on inherent data limitations and services design with an emphasis on early stages wherein drop-off is the greatest.

Racial and ethnic inequities in substance use treatment among women with opioid use disorder

Background: Research describes inequities in substance use treatment, but few studies focus specifically on racial and ethnic disparities in a range of aspects of substance use treatment among women with opioid use disorder (OUD).Objective: To examine whether substance use treatment (i.e. receipt, sources, barriers) differs by race and ethnicity among women with opioid use disorder (OUD) and to identify factors associated with treatment gap (i.e. needing treatment but not receiving it).Methods: We performed cross-sectional analyses using National Survey on Drug Use and Health 2015-2019 data, restricted to non-Hispanic Black, non-Hispanic White, and Hispanic women with past-year OUD (unweighted n = 1089). We estimated the prevalence of aspects of treatment among racial and ethnic groups, and used modified Poisson regression to estimate correlates of reported treatment gap.Results: Approximately 68% of White versus 87% of Black and 81% of Hispanic women with OUD had a treatment gap (p-value 0.0034). Commonly reported barriers to treatment included prioritization, affordability, and stigma. Older age was associated with lower prevalence of treatment gap among all women [prevalence ratio (PR) = 0.83, and 95% confidence interval (CI): 0.76, 0.92], while criminal legal involvement and healthcare coverage was associated with a lower prevalence of treatment gap among Hispanic and White women only (past year arrest: Hispanic women PR = 0.38, 95% CI: 0.17, 0.86; White women PR = 0.62, 95% CI: 0.47, 0.82).Conclusions: Receipt of treatment is low among women with OUD, especially Black and Hispanic women. Intersectional intervention approaches are needed to increase access and reduce inequities.

Application of an Opioid Use Disorder Cascade of Care in a Large Public Health System

Background

Over the past decade, hospitals and health systems have increasingly adopted interventions to address the needs of patients with substance use disorders. The Opioid Use Disorder (OUD) Cascade of Care provides a framework for organizing and tracking patient health milestones over time, and can assist health systems in identifying areas of intervention to prevent overdose and maximize the impact of evidence-based services for patients with OUD. However, detailed protocols are needed to guide health systems in how to operationalize the OUD Cascade and track outcomes using their systems' electronic medical records (EMR).

Objective

In this paper, we describe the process of operationalizing and implementing the OUD Cascade in one large, urban, public hospital system.

Methods

Through this case example, we describe the technical processes around data mining, as well as the decision-making processes, challenges encountered, and lessons learned from compiling patient data and defining stages and outcome measures for the OUD Cascade of Care. The current established framework and process will set the stage for subsequent research studies that quantify and evaluate patient progression through each stage of OUD treatment across the health system and identify target areas for quality improvement initiatives to better engage patients in care and improve health outcomes.

Results

The current paper can therefore serve as a primer for other health systems seeking to implement a data-informed approach to guide more efficient care and improved substance use-related outcomes.

Conclusion

An OUD Cascade of Care must be tailored to local systems based on inherent data limitations and services design.

Community member perspectives on adapting the cascade of care for opioid use disorder for a tribal nation in the United States

BACKGROUND AND AIMS

The Opioid Use Disorder (OUD) Cascade of Care is a public health model that has been used to measure population-level OUD risk, treatment engagement, retention, service and outcome indicators. However, no studies have examined its relevance for American Indian and Alaska Native (AI/AN) communities. Thus, we aimed to understand (1) the utility of existing stages and (2) the relative 'fit' of the OUD Cascade of Care from a tribal perspective.

DESIGN, SETTING, PARTICIPANTS AND MEASUREMENTS

Qualitative analysis of in-depth interviews with 20 individuals who were knowledgeable regarding the treatment of OUD in an Anishinaabe tribal setting in Minnesota, USA. Community member roles included clinicians, peer support specialists and cultural practitioners, among others. Thematic analysis was used to analyze the data.

FINDINGS

Participants identified the key transition points of prevention, assessment, inpatient/outpatient pathways and recovery as relevant to their community. They re-imagined an Aanji'bide (Changing our Paths) model of opioid recovery and change that was non-linear; included developmental stage and individual pathways; and demonstrated resilience through connection to culture/spirituality, community and others.

CONCLUSIONS

Community members living/working in a rural tribal nation in Minnesota, USA identified non-linearity and cultural connection as key elements to include in an Anishinaabe-centered model of opioid recovery and change.

Toward evaluation of disseminated effects of medications for opioid use disorder within provider-based clusters using routinely-collected health data

Routinely-collected health data can be employed to emulate a target trial when randomized trial data are not available. Patients within provider-based clusters likely exert and share influence on each other's treatment preferences and subsequent health outcomes and this is known as dissemination or spillover. Extending a framework to replicate an idealized two-stage randomized trial using routinely-collected health data, an evaluation of disseminated effects within provider-based clusters is possible. In this article, we propose a novel application of causal inference methods for dissemination to retrospective cohort studies in administrative claims data and evaluate the impact of the normality of the random effects distribution for the cluster-level propensity score on estimation of the causal parameters. An extensive simulation study was conducted to study the robustness of the methods under different distributions of the random effects. We applied these methods to evaluate baseline prescription for medications for opioid use disorder among a cohort of patients diagnosed with opioid use disorder and adjust for baseline confounders using information obtained from an administrative claims database. We discuss future research directions in this setting to better address unmeasured confounding in the presence of disseminated effects.

Opioid use disorder Cascade of care framework design: A roadmap

Unintentional overdose deaths, most involving opioids, have eclipsed all other causes of US deaths for individuals less than 50 years of age. An estimated 2.4 to 5 million individuals have opioid use disorder (OUD) yet a minority receive treatment in a given year. Medications for OUD (MOUD) are the gold standard treatment for OUD however early dropout remains a major challenge for improving clinical outcomes. A Cascade of Care (CoC) framework, first popularized as a public health accountability strategy to stem the spread of HIV, has been adapted specifically for OUD. The CoC framework has been promoted by the NIH and several states and jurisdictions for organizing quality improvement efforts through clinical, policy, and administrative levers to improve OUD treatment initiation and retention. This roadmap details CoC design domains based on available data and potential linkages as individual state agencies and health systems typically rely on limited datasets subject to diverse legal and regulatory requirements constraining options for evaluations. Both graphical decision trees and catalogued studies are provided to help guide efforts by state agencies and health systems to improve data collection and monitoring efforts under the OUD CoC framework.

Targeting community-based naloxone distribution using opioid overdose death rates: A descriptive analysis of naloxone rescue kits and opioid overdose deaths in Massachusetts and Rhode Island

BACKGROUND

Rates of fatal opioid overdose in Massachusetts (MA) and Rhode Island (RI) far exceed the national average. Community-based opioid education and naloxone distribution (OEND) programs are effective public health interventions to prevent overdose deaths. We compared naloxone distribution and opioid overdose death rates in MA and RI to identify priority communities for expanded OEND.

METHODS

We compared spatial patterns of opioid overdose fatalities and naloxone distribution through OEND programs in MA and RI during 2016 to 2019 using public health department data. The county-level ratio of naloxone kits distributed through OEND programs per opioid overdose death was estimated and mapped to identify potential gaps in naloxone availability across geographic regions and over time.

RESULTS

From 2016 to 2019, the statewide community-based naloxone distribution to opioid overdose death ratio improved in both states, although more rapidly in RI (from 11.8 in 2016 to 35.6 in 2019) than in MA (from 12.3 to 17.2), driven primarily by elevated and increasing rates of naloxone distribution in RI. We identified some urban/non-urban differences, with higher naloxone distribution relative to opioid overdose deaths in more urban counties, and we observed some counties with high rates of overdose deaths but low rates of naloxone kits distributed through OEND programs.

CONCLUSIONS

We identified variations in spatial patterns of opioid overdose fatalities and naloxone availability, and these disparities appeared to be widening in some areas over time. Data on the spatial distribution of naloxone distribution and opioid overdose deaths can inform targeted, community-based naloxone distribution strategies that optimize resources to prevent opioid overdose fatalities.

The naloxone delivery cascade: Identifying disparities in access to naloxone among people who inject drugs in Los Angeles and San Francisco, CA

BACKGROUND

Opioid overdoses are a leading cause of injury death in the United States. Providing people who inject drugs (PWID) with naloxone is essential to preventing deaths. However, research regarding gaps in naloxone delivery is limited.

METHODS

We interviewed 536 PWID in San Francisco and Los Angeles, California from 2017 to 2018. We described naloxone engagement and re-engagement cascades, and identified factors associated with receiving naloxone in the past six months and currently owning naloxone.

RESULTS

The engagement cascade showed 72 % of PWID ever received naloxone, 49 % received it in the past six months, and 35 % currently owned naloxone. The re-engagement cascade showed, among PWID who received naloxone in the past six months, 74 % used and/or lost naloxone, and 67 % refilled naloxone. In multivariable analyses, identifying as Latinx (aRR = 0.53; 95 % CI: 0.39, 0.72) and Black (aRR = 0.73; 95 % CI: 0.57, 0.94) vs White were negatively associated with receiving naloxone in the past six months, while using opioids 1-29 times (aRR = 1.35; 95 % CI: 1.04, 1.75) and 30+ times (aRR = 1.52; 95 % CI: 1.17, 1.99) vs zero times in the past 30 days and witnessing an overdose in the past six months (aRR = 1.69; 95 % CI: 1.37, 2.08) were positively associated with receiving naloxone in the past six months. In multivariable analyses, being unhoused vs housed (aRR = 0.82; 95 % CI: 0.68, 0.99) was negatively associated with currently owning naloxone.

CONCLUSIONS

Our study adds to the literature by developing naloxone engagement and re-engagement cascades to identify disparities. Naloxone scale-up should engage populations facing inequitable access, including people of color and those experiencing homelessness.

Quantifying opioid use disorder Cascade of Care outcomes in an American Indian tribal nation in Minnesota

American Indian communities in Minnesota have been disproportionately impacted by the opioid use disorder (OUD) epidemic, which tribal communities have taken numerous steps to address. The Cascade of Care is a public health framework for measuring population-level OUD risk, treatment engagement, treatment retention, and recovery outcomes, which can help communities monitor the impact of responses to the OUD epidemic and identify where treatment- and recovery-related barriers and facilitators may exist. However, no studies have quantified the Cascade of Care stages within tribal communities and the extent to which these stages can be quantified using existing data sources is unknown. We utilized data from the Minnesota Drug and Alcohol Abuse Normative Evaluation System (DAANES) to quantify OUD Cascade of Care stages for an American Indian tribal nation in Minnesota and for the entire state. DAANES data indicated 269 individuals in the tribal community received treatment for opioid-related problems in 2018. Among them, an estimated 65-99 % initiated medications for OUD and an estimated 13-41 % were retained in treatment for at least 180 days. Existing state-level data can provide information about Cascade of Care stages for American Indian communities, particularly with regard to treatment admission, initiation of medications for OUD, and treatment retention. Additional data sources are needed to measure population-level OUD risk, recovery, and cultural and contextual factors that may impact treatment and recovery.

Improving transitions of care for patients initiated on buprenorphine for opioid use disorder from the emergency departments in King County, Washington

STUDY OBJECTIVE

Opioid use disorder (OUD) is on the rise nationwide with increasing emergency department (ED) visits and deaths secondary to overdose. Although previous research has shown that patients who are started on buprenorphine in the ED have increased engagement in addiction treatment, access to on-demand medications for OUD is still limited, in part because of the need for linkages to outpatient care. The objective of this study is to describe emergency and outpatient providers' perception of local barriers to transitions of care for ED-initiated buprenorphine patients.

METHODS

Purposive sampling was used to recruit key stakeholders, identified as physicians, addiction specialists, and hospital administrators, from 10 EDs and 11 outpatient clinics in King County, Washington. Twenty-one interviews were recorded and transcribed and then coded using an integrated deductive and inductive content analysis approach by 2 team members to verify accuracy of the analysis. Interview guides and coding were informed by the Consolidated Framework for Implementation Research (CFIR), which provides a structure of domains and constructs associated with effective implementation of evidence-based practice.

RESULTS

From the 21 interviews with emergency and outpatient providers, this study identified 4 barriers to transitions of care for ED-initiated buprenorphine patients: scope of practice, prescribing capacity, referral incoordination, and loss to follow-up.

CONCLUSION

Next steps for implementation of this intervention in a community setting include establishing a standard of care for treatment and referral for ED patients with OUD, increasing buprenorphine prescribing capacity, creating a central repository for streamlined referrals and follow-up, and supporting low-barrier scheduling and navigation services.

Treatment for opioid use disorder in the Florida medicaid population: Using a cascade of care model to evaluate quality

Background: A cascade of care (CoC) model may improve understanding of gaps in addiction treatment availability and quality over current single measure methods. Despite increased funding, opioid overdose rates remain high. Therefore, it is critical to understand where the health-care system is failing to provide appropriate care for people with opioid use disorder (OUD) diagnoses, and to assess disparities in receipt of medication for OUD (MOUD).Objective: Using a CoC framework, assess treatment quality and outcomes for OUD in the Florida Medicaid population in 2017/2018 by demographics and primary vs. secondary diagnosis.Methods: Data from Florida Medicaid claims for 2017 and 2018 were used to calculate the number of enrollees who were diagnosed, began MOUD, were retained on medication for a minimum of 180 days, and who died.Results: Only 28% of those diagnosed with OUD began treatment with an FDA approved MOUD (buprenorphine, methadone, or injectable naltrexone). Once on medication, 38% of newly diagnosed enrollees were retained in treatment for180 days. Those who remained on MOUD for 180 days had a hazard ratio of death of 0.226 (95% CI = 0.174 to 0.294) compared to those that did not initiate MOUD, a reduction in mortality from 10% without MOUD to 2% with MOUD.Conclusions: Initiating medication after OUD diagnosis offers the greatest opportunity for intervention to reduce overdose deaths, though efforts to increase retention are also warranted. Analyzing claims data with CoC identifies system functioning for specific populations, and suggests policies and clinical pathways to target for improvement.

Implementing hospital-based peer recovery support services for substance use disorder

BACKGROUND

The rise in drug overdose deaths in the United States necessitates novel approaches to reduce harms. In response, peer recovery support services for substance use disorder have been implemented in clinical and community settings in several states.

OBJECTIVES

This descriptive analysis aimed to describe the implementation of hospital-based peer recovery support services for substance use disorder.

METHODS

We describe the implementation of the Peer Recovery Program, which delivers recovery support services 24 hours a day, seven days a week, for patients with substance use disorder in emergency departments and inpatient settings across 20 hospitals. We report program, patient, and referral characteristics and program process measures.

RESULTS

From 2016 to 2019, Recovery Specialists received referrals during 30,263 patient visits. In 2019, 65.4% (n = 7,564) of patients were male. Across three subsamples of referrals, patient acceptance of continued recovery support services ranged from 74.8% to 83.0%. At affiliated hospitals in 2019, the median response time from referral to Recovery Specialist arrival at patient bedside was eight minutes (interquartile range = 4-16), and the median duration of initial bedside consultation was 35 minutes (interquartile range = 25-45). In 2019, Recovery Specialists and Patient Navigators attempted 113,442 follow-up contacts, and patients accepted 4,696 referrals provided by Patient Navigators to substance use disorder treatment and other medical, social, and recovery services and supports.

CONCLUSIONS

This study describes peer recovery support services for substance use disorder delivered in emergency departments and inpatient settings. Evidence of improved patient outcomes is needed prior to widespread adoption.

Care cascade for patients with opioid use disorder and serious injection related infections

Objectives

To define the care cascade for patients with serious injection drug use related infections (SIRI) in a tertiary hospital system and compare outcomes of those who did and did not participate in an opioid use disorder (OUD) treatment referral program.

Methods

The medical records of patients admitted with both OUD and SIRI including endocarditis, osteomyelitis, septic arthritis, epidural abscess, thrombophlebitis, myositis, bacteremia, and fungemia from 2016-2019 were retrospectively reviewed. Patient demographics, clinical covariates, 90-day readmission rates, and outcomes data were collected. We compared data from those who were successfully referred to outpatient care through Engaging Patients in Care Coordination (EPICC), a peer recovery specialist-run OUD treatment referral program, to those who did not receive outpatient referral.

Results

During the study period 334 persons who inject opioids were admitted with SIRI. Fourteen admitted patients died and were excluded from the analysis. The all-cause readmission rate was lower among patients referred to the EPICC program (18/76 [23.7%]) compared to those not referred to EPICC (100/244 [41.0%]) (OR 0.44; 95% CI 0.25 - 0.80).

Conclusion

An OUD care cascade evaluation for patients with SIRI demonstrated that referral to peer recovery services with outpatient OUD treatment was associated with reduced 90-day readmission rate.

Optimizing Hepatitis C Virus (HCV) Treatment in a US Colocated HCV/Opioid Agonist Therapy Program

Background

A minority of patients with opioid use disorder are treated for hepatitis C virus infection (HCV). While colocated HCV and opioid agonist therapy (OAT) along with harm reduction can facilitate prevention and cascade to cure, there are few real-world examples of such embedded care models in the United States in the direct-acting antiviral (DAA) era.

Methods

We conducted a retrospective chart review to determine sustained virologic response (SVR) and reinfection rates during the first 5-year period of DAA availability among individuals tested and treated on-site at Rhode Island’s only nonprofit methadone maintenance program.

Results

Of 275 who initiated DAAs, the mean age (range) was 43 (22–71) years, 34.5% were female, 57.5% had genotype 1a, 23.3% had cirrhosis, and 92% were Medicaid recipients. SVR was 85.0% (232/273), while modified intent-to-treat SVR was 93.2% (232/249); 17 patients did not achieve SVR, 2 awaited SVR 12 weeks post-end-of-treatment, and 24 were lost to follow-up. Thirty reinfections were identified over 375.5 person-years of follow-up (rate, 7.99/100 person-years). The median time to first reinfection (interquartile range) was 128 (85.25–202.5) days. Before July 1, 2018, 72 patients accessed DAAs over 3.7 years; after Medicaid DAA restrictions were lifted, 109 patients accessed DAAs over 1.3 years. The Prior Authorization (PA) process requires many steps, differing across 11 RI insurers, taking 45–120 minutes per patient.

Conclusions

DAA treatment was effective among a marginalized population in an urban colocated OAT/HCV program. Removing DAA restrictions facilitates treatment initiation. The PA process remains a modifiable barrier to expanding capacity in the United States.

Opioid Overdose Deaths with Buprenorphine Detected in Postmortem Toxicology: a Retrospective Analysis

BACKGROUND

Buprenorphine is a unique μ-opioid receptor partial agonist with avid receptor binding, nominal euphoric reward, and a ceiling effect on sedation and respiratory depression. Despite a pharmacologic profile that enhances safety, cases of fatal opioid overdose with buprenorphine on postmortem toxicology are reported, but details of these cases in the literature are limited.

METHODS

A retrospective review of opioid-involved drug overdose fatalities in Rhode Island (RI) from 2016 to 2018 using the RI Department of Health State Unintentional Drug Overdose Reporting System (SUDORS) database. Deaths with buprenorphine on toxicology testing versus opioid-involved overdose deaths without buprenorphine were compared to assess the type and number of co-exposures.

RESULTS

Of 534 opioid-involved deaths, 29 (5.4%) included buprenorphine and/or norbuprenorphine on toxicology. Most frequent co-exposures are as follows: fentanyl (75.9%), norfentanyl (72.4%), cocaine (41.4%), benzoylecgonine (41.4%), cannabinoids (31.0%), ethanol (31.0%), levamisole (31.0%), and free morphine (31.0%). An average number of co-exposures for fatalities with buprenorphine were 9.24 versus 6.68 in those without buprenorphine. In one case buprenorphine was the only drug listed to cause death; all other fatalities with buprenorphine on toxicology reported additional drugs contributing to death.

CONCLUSION

Decedents with buprenorphine detected on toxicology testing commonly had documented polysubstance use. Although data are limited, buprenorphine may provide some risk mitigation against full agonist opioid overdose including fentanyl. Further work should explore the use of postmortem concentrations of buprenorphine, norbuprenorphine, and other opioid metabolites to determine the role of buprenorphine in fatal overdose pharmacology.

Addressing the context and consequences of substance use, misuse, and dependence: A global imperative

In an Editorial, Guest Editors Alexander Tsai, Margarita Alegria and Steffanie Strathdee discuss the accompanying Special Issue on Substance Use, Misuse and Dependence.