Funded Projects

Often (around 40 percent of the time), individuals being treated for opioid use disorder (OUD) also have pain that interferes with daily life. This study builds on the prior development of a collaborative primary care approach, entitled TOPPS (Treating Opioid Patients’ Pain and Sadness), in which behavioral health specialists and primary care providers share a unified plan for addressing pain and depression in patients receiving buprenorphine. Building in preliminary work, researchers are conducting a randomized controlled trial of TOPPS compared to a health education contact-control condition among 250 persons with OUD recruited from two primary care-based buprenorphine programs, provided over 3 months and followed over 12 months. The study will examine whether this intervention changes how much pain interferes with daily functioning, the severity of pain, depression, and whether individuals stay in OUD treatment.

The HEALthy Brain and Child Development National Consortium (HBCD-NC) will establish a normative model of developmental trajectories over the first 10 years of life. All sites in the HBCD-NC will carry out a common research protocol and will assemble and distribute a comprehensive research dataset to the scientific community. The HBCD-NC will collect neural, behavioral, physiological, and psychological measures, as well as biospecimens, to characterize neurodevelopmental trajectories. Most participants will be recruited in the second trimester of pregnancy, with a smaller subset recruited at birth, and followed for the first 10 years of life. This study will be conducted at Johns Hopkins University in Baltimore, Maryland, and researchers will recruit diverse participants from a range of backgrounds.

Currently no medications are approved by the U.S. Food and Drug Administration for psychostimulant (cocaine and methamphetamine) use disorder. This project will develop a novel opioid molecule (PPL-138) that blocks cocaine and methamphetamine self-administration in animal models and that lacks rewarding properties that could lead to addiction. This research will conduct manufacturing and safety studies to prepare for Phase 1 clinical trials to determine safety in human patients.

Chronic pain affects an estimated 100 million Americans, or one third of the U.S. population, and it is the primary reason Americans are on disability. Although many treatments are available for pain, the most potent class of analgesics relies on opioid analogs, whose limitations and well-known adverse effects have contributed to the present opioid crisis. New pharmacotherapies for pain management are sorely needed. MTX1604, a synthetic endomorphin analog, has emerged as a highly effective analgesic that exhibits reduced reward potential and respiratory suppression, and a robust duration of efficacy in a variety of validated animal models of acute, neuropathic, inflammatory, post-operative, and visceral pain. This project will generate additional preclinical characterization data of MTX1604 and advance clinical development toward FDA approval. If successful, this medication development project could offer patients a novel non-addictive, potent, and safe analgesic and thus have a direct impact on the opioid crisis.

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.

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.

Risk for opioid use disorder (OUD) often begins in adolescence and young adulthood. Engaging and retaining adolescents and young adults (collectively, “youth”) in early, effective treatment is critical for improving the life course trajectory of addiction. For adults with OUD, office-based opioid treatment (OBOT) with a collaborative care approach that includes behavioral therapy optimizes patient engagement and retention in care. Collaborative care OBOT is especially promising for youth, who can receive treatment from a trusted primary care provider in the same familiar setting they receive their usual medical care. To date, however, OBOT has not been formally adapted for treating youth. The central objective of this project is to develop and pilot an enhanced OBOT model for youth that is developmentally appropriate and family centered. The multidisciplinary nature of our team, which includes expertise in advanced biostatistical analysis, qualitative research, intervention development, developmental psychology, and implementation and improvement science, will maximize the chances of filling an important gap in the provision of youth specific evidence-based OUD interventions.

People who use opioids in rural areas suffer worse health and less insurance coverage. The opioid problem in rural areas is of particular concern, as rural areas have higher overdose rates despite equivalent rates of OUD. This is because rural areas have a scant number of clinics and clinicians who provide medication treatment for OUD. Thus, people living in rural areas must travel long distances to access clinics that may or may not have expertise in providing treatment to patients with OUD. Telemedicine (TM) could efficiently increase capacity for delivery of buprenorphine in rural areas and may increase the number of patients receiving medication treatment and improve treatment retention and outcomes. While the development of medication treatments for opioid use disorder (MOUD) capacity in primary care settings with optimal/comprehensive services is desirable, the current opioid crisis with escalating overdose death rates in rural areas suggests a need to implement an efficient, cost-effective system of MOUD services that can be scaled up quickly. The use of a centralized and Medicare-covered TM vendor utilizing a developed methodology and established organizational infrastructure offers the great potential for a rapid rollout to increase access to MOUD and improve treatment retention in rural areas. This cluster randomized clinical trial with two phases will test expanded treatment access to improve retention on MOUD in highly affected rural areas. Phase I will include implementing telemedicine in a limited number of rural sites with varying levels of office-based opioid treatment (OBOT) to inform implementation strategies for the main trial, and Phase II will include evaluate comparative effectiveness between OBOT alone and OBOT + TM at 30 sites.

There are a dearth of integrated treatments that simultaneously address the fundamental causes of chronic pain and opioid misuse/opioid use disorder and that focus on well-being among individuals with chronic pain and opioid misuse/disorder. This research will study how to improve the lives of patients with chronic pain and opioid misuse/disorder via tailored interventions that explicitly target increasing quality of life and engagement in valued activities, the cultural centering of interventions to meet the needs of diverse patient populations and reducing stigma of chronic pain and opioid misuse/disorder. Specific research projects will i) test the effectiveness, mechanisms, and implementation of an integrated psychosocial treatment for chronic pain and opioid use disorder among individuals receiving buprenorphine from outpatient treatment clinics, and ii) will use community-based participatory research methods to develop a culturally centered strategy for screening and brief intervention of chronic pain and opioid use disorder among American Indian/Alaska Native patients in primary care settings. This research will shed light on a difficult problem and improve health and wellbeing with a focus on diverse and underserved populations.

Less than half of youth in the juvenile justice system who meet the criteria for substance use disorders (SUD) have ever received treatment, and less than one third of those received treatment while under community or correctional supervision. SUDs during adolescence can lead to significantly longer periods of substance use, more severe offending, and penetration in the justice system. The Translational Research on Interventions for Adolescents in the Legal System (TRIALS) cooperative is intended to develop and test implementation strategies and associated measures to improve the continuum of substance abuse and HIV prevention and treatment services delivered to youth under juvenile justice supervision.

A more than 5-fold increase in the incidence of neonatal abstinence syndrome has been reported since 2000. Preliminary studies show that prenatal opioid exposure is associated with increased risk of impaired neurodevelopment. Five institutions (Duke University, Arkansas Children’s Research Institute, Cincinnati Children’s Hospital, University of Illinois at Urbana–Champaign, and University of North Carolina at Chapel Hill) have formed a consortium to develop strategies for the Phase II HEALthy Brain and Child Development Study. Research teams will develop instruments and strategies (recruitment/retention protocols, assessment batteries, and novel tools); conduct pilot studies (fetal and postnatal imaging, advanced imaging harmonization and quality control, assessment administration, biosampling) to evaluate instruments; and analyze available data, including imaging, behavioral, cognitive, and maternal data from studies on early brain development, to guide the Phase II study design. Upon completion, the consortium aims to conduct the Phase II study.

Community pharmacies are optimal—yet underutilized—settings for identifying individuals with opioid use disorder (OUD) and increasing their access to treatment. Approximately 93 percent of individuals in the U.S. live within 5 miles of a community pharmacy. The most common opioid-related tool available to pharmacists is the prescription drug monitoring program (PDMP), which provides highly limited information and support for clinical decision making. Appriss Health, the largest U.S. PDMP vendor, covering 42 states, has developed an opioid risk measure, the NarxScore. This study will clinically validate the NarxScore metric and identify high, moderate and low opioid risk thresholds to inform OUD care management within urban and rural community pharmacies. This is a prospective cross-sectional comprehensive OUD risk and behavioral/physical health survey administered electronically with patients (n = 1,523) filling opioid medications in urban/rural community pharmacies in Ohio (pharmacy sites: n = 12) and Indiana (pharmacy sites: n = 3), states that continue to have disproportionately high rates of overdose and opioid prescribing. Correlation, regression and kappa statistics will be calculated for validation; receiver operating curves with sensitivity/specificity values will be employed for threshold identification (with >95 percent power to detect an area of 0.7 under the curve value).