Funded Projects

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.

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.

The overdose crisis has expanded rapidly among adolescent populations in recent years, largely due to illicit substances containing lethal amounts of the highly potent synthetic opioid fentanyl. However, a provider shortage limits access to effective treatment for adolescents with opioid use disorder and other substance use disorders (SUD). Although primary care is a promising setting for expanding delivery of SUD treatment to adolescents, many primary care providers lack the training, resources, and support systems to deliver these services confidently and effectively. This project will leverage a large-scale rollout of integrated behavioral health care in a statewide health system. The research will test whether embedding behavioral health specialists into primary care visits, introducing case management and electronic clinical decision support tools, and reducing stigma will increase delivery of SUD treatment to adolescents.

Central Appalachia has been devastated by opioid use disorder and overdose deaths for decades. Treatment access is improving across that region, yet few individuals successfully remain on treatment with medications for opioid use disorder (MOUD). Peer recovery support services can be highly effective in improving treatment outcomes and recovery, but there is limited evidence of how they can be implemented and used most effectively, particularly for individuals receiving MOUD. This project will create the Studies To Advance Recovery Supports (STARS) Network that aims to expand the infrastructure necessary to implement and evaluate peer recovery support services for these individuals. It will build research capacities at universities and health partners, enroll MOUD clinics and peer recovery support professionals, and promote data harmonization across network partners.

Although there are effective prevention and treatment programs and services to address opioid misuse, opioid use disorder (OUD), and overdose, gaps remain between those needing and those receiving prevention and treatment, in part because of a need to better understand how to make these programs and services most effective at a local level. The National Institutes of Health (NIH) and the Substance Abuse and Mental Health Services Administration (SAMHSA) launched the HEALing Communities Study to generate evidence about how tools for preventing and treating opioid misuse and OUD are most effective at the local level. This multisite implementation research study will test the impact of an integrated set of evidence-based practices across health care, behavioral health, justice, and other community-based settings. The goal of the study is to reduce opioid-related overdose deaths by 40 percent over three years. The University of Kentucky is partnering with academic institutions in three other states to study the impact of these efforts in 67 highly affected communities. The study will also look at the effectiveness of coordinated systems of care designed to increase the number of individuals receiving medication to treat OUD, increase the distribution of naloxone, and reduce high-risk opioid prescribing.

Many people in jail have both opioid use disorder (OUD) and posttraumatic stress disorder (PTSD). Among people with OUD released from jail, only few engage in treatment and medication therapy once they are back in the community, and opioid overdose is a leading cause of death in this population. This project will test whether identifying and initiating treatment of PTSD in people receiving OUD treatment in jail can increase these individuals’ likelihood of starting and staying in medication treatment after release and thus reduce overdose risk.

Online peer-led support interventions may increase medication-assisted therapy (MAT) initiation and sustainment among participants with opioid use disorder (OUD) because they can leverage peers to widely and rapidly scale changes in social norms (e.g., interest in using MAT) throughout people’s natural, real-world, virtual environments. Harnessing Online Peer Education (HOPE), an online peer support community intervention designed to reduce stigma and increase health behavior change, has effectively changed health behaviors among stigmatized populations, such as for HIV. This study will determine how to adapt the HOPE online support intervention to increase MAT initiation and sustainment among participants with OUD, assess the intervention’s effectiveness at increasing MAT use among OUD participants recruited online who are not using MAT, and use an implementation science approach to determine the relationship between social network dynamics (e.g., network size), topics discussed on the online community, and behavior change.

Buprenorphine has been shown to be is an effective method for treating Opioid Use Disorder (OUD). However, despite its success, treatment retention rates are notoriously low ? about half of those seeking treatment will have dropped out within the first 6 months. One factor known to negatively impact treatment adherence is stigma. This stigma derives from not only being viewed as individuals with OUD, but even as individuals seeking medications for OUD as these medications often include other forms of opioids. Additionally, individuals with OUD often suffer from other conditions, including psychiatric illness, leading them to live with multiple stigmatized identities. This study will develop tools to assess stigma associated with OUD, seeking medical treatment for OUD, and mental health. This knowledge will then be used to adapt the parent award?s mobile Health intervention intended to overcome stigma barriers and increase adherence to buprenorphine treatment for OUD.

People who survive sexual violence are at increased risk for posttraumatic stress disorder (PTSD) and opioid misuse. Emergency departments are often the first, and in some cases only, contact with the medical care system for survivors of sexual violence. This makes them a suitable setting to initiate interventions to address the risk of PTSD and opioid misuse in these individuals. This project will develop and test a brief, low-cost video and text message intervention that can be initiated in the emergency department to prevent onset or escalation of PTSD and opioid misuse among people who survive sexual violence.

There is a significant treatment gap between patients diagnosed with OUD and those who seek treatment, and only a small proportion of those seeking treatment receive MOUD. Primary care is the most common point of health care contact in the U.S. and is an important venue to address stigma, improve access to treatment and improve quality of care. Over the past decade, electronic health record (EHR)-linked Web-based point-of-care clinical decision support (CDS) systems designed to improve quality of chronic disease care have become increasingly sophisticated and successful. A Web-based and EHR-integrated OUD CDS system to offer expert guidance to primary care providers (PCPs) on the diagnosis and management of OUD was developed and piloted. This project will implement the OUD clinical decision support system in three large diverse health care systems and randomize a minimum of 30 clinics to receive the OUD-CDS intervention or usual care (UC). The project will evaluate the impact of OUD CDS on practice process measures and patient outcomes. The study will also prepare for scalability and dissemination by evaluating facilitators and barriers to implementation, determining the costs of implementation and maintenance and assessing the short-term cost impacts of the OUD-CDS.

There is a significant treatment gap between patients diagnosed with OUD and those who seek treatment, and only a small proportion of those seeking treatment receive MOUD. Primary care is the most common point of health care contact in the U.S. and is an important venue to address stigma, improve access to treatment and improve quality of care. Over the past decade, electronic health record (EHR)-linked Web-based point-of-care clinical decision support (CDS) systems designed to improve quality of chronic disease care have become increasingly sophisticated and successful. A Web-based and EHR-integrated OUD CDS system to offer expert guidance to primary care providers (PCPs) on the diagnosis and management of OUD was developed and piloted. This project will implement the OUD clinical decision support system in three large diverse health care systems and randomize a minimum of 30 clinics to receive the OUD-CDS intervention or usual care (UC). The project will evaluate the impact of OUD CDS on practice process measures and patient outcomes. The study will also prepare for scalability and dissemination by evaluating facilitators and barriers to implementation, determining the costs of implementation and maintenance and assessing the short-term cost impacts of the OUD-CDS.

Increasing primary care clinician intention and behavior to obtain waivers to prescribe buprenorphine for treatment of opioid use disorder and increase use of the Opioid Wizard, a clinical decision support tool, has potential for patient benefit. This supplement will provide support to evaluate a training tool as an intervention to reduce stigma in primary care clinics by integrating a stigma reduction training component into the Opioid Wizard training at multiple sites of the NIDA Clinical Trial Network. Primary care providers will be randomized to novel stigma reduction training, grounded in stigma science, or an attention-control training to determine whether stigma reduction training reduces provider stigma, increases intention to apply for a waiver to prescribe buprenorphine, and ultimately increase the likelihood that providers use Opioid Wizard. The proposed supplement will utilize the randomized controlled trial design embedded in the larger multisite trial to evaluate the Opioid Wizard tool to help primary care clinicians identify, diagnose, and treat patients with opioid use disorder while evaluating the effect of the stigma reduction training.

This health care data mining study analyzes existing Veterans Health Administration data sets to examine patient and organizational characteristics associated with buprenorphine termination during outpatient OUD treatment. This project will generate data useful for predictive modeling on how to implement targeted approaches to improve retention in OUD treatment. An objective is to identify patient, provider and system targets to reduce unnecessary or inappropriate discontinuation of buprenorphine care. These analyses are critical for establishing initial constructs to evaluate reasons for treatment discontinuation based upon patient, provider and system factors in different health care settings.