Funded Projects

Many people intending to take medications for opioid use disorder, including buprenorphine, as part of their recovery pathway do not stay in treatment long enough to reduce risk for overdose. These individuals also often continue to use one or more other drugs during treatment, which may further raise their overdose risk. This project will develop and conduct a preliminary test of an innovative integrated intervention that combines buprenorphine treatment with recovery coaching and online cognitive behavioral therapy. This research will assess whether the approach reduces drug use during buprenorphine treatment and helps people stay in treatment longer.

Among the more than half-million adults entering addiction treatment for prescription opioid abuse every year, 50%-60% report co-morbid chronic pain, and 80% report that pain triggers relapse. Individualized/self-stigma among adults with substance abuse has been shown to lead to delayed recovery, increased relapse and reduced treatment-related attendance. Stigma may induce significant burden on patients with OUD and chronic pain and there may be unique characteristics of stigma for this population due to the overlap between medical treatment and substance abuse. Multiple sources of stigma may be imposed including internalized/self-stigma as well as intragroup/peer-to-peer (?horizontal?) stigma whereby peers impose stigma upon each other based on the type and severity of past drug use. Furthermore, stigma could be ?vertical? in that stigma may be enacted by health care providers or by treatment center staff. However, there is notably a lack of research and related assessment tools to measure these multidimensional facets of stigma, particularly in patients with OUD and chronic pain. The investigators will utilize a mixed-methods approach to evaluate internalized/self-stigma, anticipated/expected stigma and enacted stigma using existing standardized surveys, and to describe horizontal and vertical stigma in individuals with OUD and pain at multiple sites. In addition, the investigators will integrate the quantitative and qualitative information to help inform modifications to the psychotherapy component (I-STOP) of the parent award intervention, which would then also target multidimensional stigma in patients with OUD and chronic pain.

Stigma is a key barrier to retention in medication-based treatment for opioid use disorder, particularly among low-income, minority individuals. Stigma that exists at multiple levels contributes to poor retention in care, including internalized and anticipated stigma at the individual level, as well as enacted stigma at the health care provider- and community levels. There is an urgent need to develop and evaluate innovative strategies to reduce stigma at these multiple levels among low-income, racial/ethnic minority individuals to improve engagement in care. One of the most promising strategies to reduce multiple intersecting stigmas simultaneously and improve engagement in care for low-income, minority individuals is through the use of peer recovery coaches (PRCs). PRCs, individuals who have gone through the recovery process themselves and are typically state-certified, have been shown to be more acceptable for engaging and retaining low-income, racial/ethnic minority patients in treatment compared to other health workers. However, scarce research has formally evaluated the effects of PRCs on stigma. This study will test how a PRC model can reduce multiple intersecting stigmas among low-income, racial/ethnic minority individuals to improve retention in methadone treatment.

Polysubstance use, especially use of both opioids and stimulants, is compounding the already devastating effects of the opioid crisis in underserved rural areas. This project builds on a previously established treatment model for opioid use disorder that uses telehealth and mobile treatment units, which seeks to engage people in activities they enjoy, to help them avoid negative behaviors such as drug use. This research will evaluate the effectiveness of a behavioral treatment approach delivered by peer recovery support specialists in rural areas and using mobile treatment units. The project will measure the intervention’s effect on treatment retention and polysubstance use – as well as evaluate the intervention’s feasibility, acceptability, adoption, and economic value.

A persistent problem in the dissemination of medications for opioid use disorder (MOUD) is patient dropout, and matching patients to suitable medication early has the potential to minimize dropout. The overall objective of this secondary data analysis study is to develop and disseminate individual level risk prediction models using harmonized data collected from three multi-site clinical trials from the CTN, in order to predict specific clinical outcomes (e.g., dropout, relapse) for patients treated with MOUD, including methadone, buprenorphine or extended-release depot naltrexone. The relative importance of predictors in the best predictive models will be estimated, which may facilitate refinement of common data elements for future OUD studies. The comprehensive, harmonized database of treatment data created in this study can be used for future secondary data analysis studies and will provide a replicable data pipeline to process and validate OUD data in future protocols.

A persistent problem in the dissemination of medications for opioid use disorder (MOUD) is patient dropout, and matching patients to suitable medication early has the potential to minimize dropout. The overall objective of this secondary data analysis study is to develop and disseminate individual level risk prediction models using harmonized data collected from three multi-site clinical trials from the CTN, in order to predict specific clinical outcomes (e.g., dropout, relapse) for patients treated with MOUD, including methadone, buprenorphine or extended-release depot naltrexone. The relative importance of predictors in the best predictive models will be estimated, which may facilitate refinement of common data elements for future OUD studies. The comprehensive, harmonized database of treatment data created in this study can be used for future secondary data analysis studies and will provide a replicable data pipeline to process and validate OUD data in future protocols.

Medications for opioid use disorder (OUD) are safe and effective. However, many people do not take them long enough to achieve sustained recovery, putting them at risk of overdose. Peer recovery support services—which are delivered by trained individuals with lived experience of addiction and recovery—may help people with OUD initiate and stay in medication treatment. This project will adapt peer recovery support services for use in outpatient substance use treatment settings and test their implementation and effectiveness in helping people with OUD achieve long-term recovery. If successful, the program could be implemented in a variety of outpatient treatment programs, including in underserved rural areas.

Given the magnitude of the opioid death epidemic, we need multiple approaches to increase use of medication treatment for opioid use disorder (MOUD) for people from diverse geographical locations. Pharmacists as dispensers of and gatekeepers to opioid medications, including those used for OUD treatment, are natural partners of health care providers. Community pharmacists are widely available even in rural areas. This 2-year study will use a mixed-method design that includes qualitative and quantitative approaches to study pharmacists’ knowledge of, attitudes about, and intention to provide patient care and services for screening, brief intervention, and referral to treatment for substance use disorders and MOUD. Study aims are to conduct stakeholder interviews, develop a survey instrument to assess such barriers and facilitators, pilot test the survey instrument, and conduct the survey among licensed pharmacists.

Emerging adults (ages 16-25) involved with public systems and individuals involved with the justice system (including emerging adults) are at the highest risk for problems stemming from opioid use disorder. Emerging adults report the highest rates of drug use, including opiates, and those involved with public systems are more likely to have poor outcomes. For adults of all ages, opioid use increases the likelihood of justice system involvement. Peer recovery support services and recovery residences are growing nationally and may benefit these two groups tremendously, but research on them is limited. This project will establish the Initiative for Justice and Emerging Adult Populations to advance recovery support services research through a partnership between researchers, people in recovery from these two populations, recovery support service providers, and payors.

Many individuals with opioid use disorder (OUD) pass through the criminal justice system over the course of their life. Improved access to high-quality, evidence-based addiction treatment in justice settings will be critical to addressing the opioid crisis. Through the Justice Community Opioid Innovation Network (JCOIN), the National Institutes of Health will study approaches to increase high-quality care for people with opioid misuse and OUD in justice populations. The Mason Coordination and Translation Center (MCTC) will manage logistics, stakeholder engagement, and dissemination of findings and products from the JCOIN network. This will include establishing infrastructure to support research education and rapid response and pilot research.

The opioid crisis has been particularly devastating to adolescents and young adults between 16 and 25 years old. Recovery support services in community settings can help these individuals who take medications for opioid use disorder find a path to recovery. This project will develop a network of advanced researchers, recovery support specialists, adolescents and young adults in recovery, and other key community stakeholders to help rapidly advance the science of recovery support services. This research will focus in particular on continuing care services specialized for adolescents and young adults who currently take or who have taken medications for opioid use disorder.

Very little research has been conducted on better understanding of phenotypic characterization of individuals with OUD (beyond DSM-5 diagnoses) and how these features predict illness severity, treatment retention or outcomes. The primary objective of the deep phenotyping study is to provide a comprehensive phenotypic characterization (e.g., domains of negative affect, reward salience, cognitive control, mental health) of a heterogeneous sample of individuals (n = 1,000) who currently meet one or more DSM-5 diagnostic criteria for OUD and are in treatment for OUD. In a subset of this sample (n = 100), the investigators conduct digital phenotyping to examine the utility of ecological momentary assessment (EMA), digital sensing and social media to predict retention, medication adherence and opioid use outcomes in patients receiving buprenorphine for OUD. It is anticipated that this foundational study will inform the feasibility and utility of such assessments that can be successfully embedded into imminent and future CTN and other OUD clinical trials.

As part of an ongoing teleECHO learning collaborative (LC),this study will expand clinical research training in evidence-based quality improvementmethods that were central to delivering and sustaining science-based medication-assisted treatment for opioid use disorder (MOUD) within the Vermont Hub-and-Spoke Model (HSM) with fidelity. Participating primary care practices will be trained in the (1) use of astudy-developedtoolkit of research and evaluationquality improvementmethodsintended to expand provider knowledge and performance in the delivery of evidence-based MOUD, (2) systematic tracking of standardized outcome metrics, and (3) sharing of these standardized data with other LC membersso that practices can use this empirical information to refine their care model over time. The study will measure changes in providers’ knowledge about best practices for MOUD, their comfort in caring for OUD patients with MOUD and their performance on all the standardized outcome metrics.