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.

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 Pain Management Collaboratory Coordinating Center (PMC3) will 1) provide national leadership and technical expertise in all aspects of research supporting the design and execution of high-impact demonstration projects that conduct cost-effective, large-scale, pragmatic clinical trials on non- pharmacological approaches for pain management and other comorbid conditions in veteran or military health care systems and 2) make data, tools, best practices, and resources from these and other projects available to facilitate research partnerships in VA and DoD health systems. The aims are to: 1) develop, adapt, and adopt technical policy guidelines and best practices for the effective design and conduct of pragmatic trials; 2) work collaboratively with and provide operational, technical, design, and other support to demonstration project teams to develop, initiate, and implement a research protocol; and 3) disseminate NIH–DoD–VA Pain Management Collaboratory–endorsed policies and best practices and lessons learned within military and veteran health care systems.

This study will evaluate the implementation of the Zero Suicide framework across six health systems serving over nine million people in collaboration with the Mental Health Research Network. The project will incorporate the voice of the patient and provider stakeholders as part of the implementation of the Zero Suicide framework in three health settings from the NIMH-funded parent award as well as the Southcentral Foundation which is an Alaska Native-owned, nonprofit health care organization serving nearly 65,000 American Indian/Alaskan Native people living in and around Anchorage, Alaska. The team will first systematically engage patients, providers, national consumer advocacy groups, and MHRN scientists in formulating research questions to address the prevention of opioid-related overdoses in people with Opioid Use Disorders (OUD) or people without diagnosed OUD who are using opioids for pain management. Next, the team will utilize semi-structured interviews to determine how people with OUD or people without diagnosed OUD who are using opioids for pain management are experiencing the implementation of the Zero Suicide framework in four diverse health systems. Experiences will be recorded using 80 semi-structured phone interviews in a diverse sample of patients who have survived an opioid-related overdose (50% intentional; 50% unintentional), as well as 20 Addiction Medicine, Primary Care, and/or Specialty Pain Medicine providers.

This project, a partnership with Principled Strategies, will develop innovative, patient-level models for opioid risk identification and integrate them into the SafeUseNow managed care system—an actionable solution for combating prescription drug abuse that currently operates at the prescriber level only. Incorporating patient-level risk identifier models will strengthen an already powerful and demonstrably effective program and constitutes a critical step in generating a first-in-class, multifactor risk assessment strategy that is truly holistic. Using a variety of data sources, advanced analytics, and multiple empirically validated risk identification models, the groundbreaking advancement in SafeUseNow technology will enable health care stakeholders to identify combinations of prescribers, patients, and pharmacies whose behaviors may contribute to prescription drug abuse. This project will work to obtain new datasets for analysis, assess them, and use them to build national patient-level risk models for relevant outcomes, which will enable the development and evaluation of a next-generation prototype for a patient-level version of SafeUseNow.

About 23 million Americans identify as being in recovery from opioid and other substance use disorders. While recovery support services are an established best practice to support people in recovery, there is little scientific evidence to support the efficacy and implementation of peer recovery support services, training approaches, and delivery models. Recovery support services are particularly lacking in the U.S. Southwest and for individuals who choose to take medications for opioid use disorder as part of their recovery pathway. This project will establish the Peer Recovery Innovation Network to address research gaps. This research will incorporate input from people with lived experience in all stages of the recovery process – toward helping to set the research agenda and conducting the research, as well as enhancing infrastructure for peer recovery support services research.

Innovative interventions being conducted in emergency departments (EDs) for the treatment of opioid use disorders (OUD) have engaged more OUD individuals in treatment and saved lives. However, individuals who present to the ED following an opioid overdose, particularly those who have received naloxone reversal, are often resistant to accepting treatment. An innovative state-funded project called FAVOR Overdose Recovery Coaching Evaluation (FORCE) was initiated to try to address this problem wherein trained peer recovery coaches are called to the ED as soon as an opioid overdose victim is admitted. The proposed project will assess the feasibility and replicability of this model, assess whether the FORCE approach leads to more opioid overdose survivors entering formal substance use disorder treatment at one month compared to treatment as usual, and assess whether the FORCE approach leads to better retention in SUD treatment for OUD overdose survivors over time.

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.

The number of drug overdoses in New York continues to rise. In response, the New York State Office of Addiction Services and Supports (OASAS) is promoting approaches that embrace person-centered care, evidence-based practices, equitable treatment, and harm-reduction principles. In this project, researchers will partner with OASAS to build a quality measurement and management research center that provides performance feedback to support and encourage leadership and staff of treatment clinics to improve practice. The center will also publicize quality measures to ensure public accountability.

This study will challenge current clinical approaches to managing the pregnant woman with opioid use disorder. Dosing of buprenorphine (BUP) in pregnant women is based on studies in non-pregnant subjects, which suggests that symptoms of withdrawal occur when plasma BUP concentrations are < 1ng/ml. No such data exist for pregnant women, but this is a prerequisite for defining an appropriate dosing regimen of BUP in pregnant women. We will define this threshold by monitoring women undergoing mild, medically directed withdrawal. The Clinical Opioid Withdrawal Scale score and the Finnegan score for NAS are key to defining when withdrawal occurs and thus dictate treatment in mother and baby. Neither scoring system is based on plasma BUP concentrations and thus, may not reflect true opioid withdrawal. This proposal aims to develop physiologic-based scoring systems that refine the accuracy of diagnosis and optimize treatment.