Funded Projects

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).

The opioid overdose epidemic is increasingly affecting urban, poor and predominantly minority populations in the U.S., including Washington, D.C., as indicated by rapidly increasing overdoses clustered in medically underserved, economically disadvantaged, largely African American areas of the District and many of the nation’s other largest cities. This study seeks to (1) develop, implement and conduct a preliminary evaluation of an integrated, community-based collaborative care model, employing peer recovery coaches and telepsychiatry services, to improve utilization and effectiveness of MOUD in Federally Qualified Health Centers (FQHCs) and (2) use a community-based participatory research approach to develop, implement and conduct a preliminary evaluation of outreach, engagement and recovery support interventions in nontraditional community settings (e.g., grassroots community groups, churches or religious organizations, soup kitchens, black barber shops or nail or hair salons).

Despite increased efforts to understand the neurodevelopmental sequelae of in utero opioid and other substance exposure on long-term behavioral, cognitive, and societal outcomes, important questions remain, specifically, 1) How is brain growth disrupted by fetal substance and related pre- and post-natal exposures? and 2) How are these disrupted growth patterns causally related to later cognitive and behavioral outcomes? This project seeks to formulate an approach to addressing these key questions and decipher the individual and cumulative effect of these intertwined pre- and post-natal exposures on child neurodevelopment. First, researchers will address the legal, ethical, and mother-child care and support concerns implicit in this study. Next, they will integrate across our areas of neuroimaging expertise to develop, implement, and harmonize a multi-modal MRI and EEG protocol to assess maturing brain structure, function, and connectivity. Finally, researchers will develop and test advanced statistical approaches to model and analyze this multidimensional and longitudinal data.

EicOsis is developing a first-in-class analgesic with efficacy against neuropathic pain that will reduce or replace the need for opioids and thus potentially prevent opioid use disorder (OUD). The target of the small molecule inhibitor EC5026 is the soluble epoxide hydrolase, a master regulatory enzyme that modulates the activity of endogenous bioactive lipids. The study will reach the next steps in clinical human clinical trials with EC5026 through additional preclinical studies to expand the efficacy into models of chronic pain conditions. Additionally, detailed pharmacokinetic, metabolism, and distribution studies are proposed that will provide the required information to optimize drug formulation and for advanced clinical trials examining efficacy in humans. EicOsis is meeting current development goals, and EC5026 is well positioned to meet the urgent need of reducing opioid use.

As of 2012, an infant with neonatal abstinence syndrome (NAS) was born every 25 minutes in the United States, accounting for more than $1.5 billion in national health care expenditures. These infants frequently require hospital stay in a neonatal intensive care unit (NICU), with an average hospital stay of 25 days at an average treatment cost of $66,000. Treatment of NAS usually follows a multimodal regime based on drug therapy with an oral morphine solution, mostly in combination with a sedative, but there is a need for nonpharmacological approaches. This project will test a transcutaneous auricular neurostimulation device to help NAS babies recover from opioid withdrawal without harmful side effects. The non-invasive, auricular neurostimulation device will be placed around the ear (similar to a hearing aid), and stimulation will be delivered transcutaneously.

Poor medication-assisted treatment (MAT) retention disproportionately affects low-income racial/ethnic minority individuals with opioid use disorder (OUD) and increases risk for relapse; therefore, evidence-based interventions are needed to improve MAT retention. Peer recovery coaches (PRCs), trained individuals with experiences with substance use disorder, may be uniquely suited to address common MAT retention barriers among underserved populations, including stigma, challenges navigating services, housing instability, and other structural and psychosocial factors. Preliminary work by the research team suggests that behavioral activation (BA) by PRCs may be a feasible, scalable reinforcement-based approach for improving MAT retention for low-income minority OUD individuals. The study builds upon the research team’s formative work to adapt and evaluate the effectiveness and implementation of a PRC-delivered BA intervention (Peer Activate) to improve MAT retention for low-income, minority individuals with OUD.

Rates of neonatal abstinence syndrome have reached a staggering 6.5 per 1,000 births nationwide, creating an urgent need to identify how in-utero exposure to opioids and associated risk factors influence the developing brain. A multidisciplinary team will address these challenges in Oregon, a state particularly hard hit by the opioid epidemic. Through linking sites, the impact of the Phase I project is enhanced and will provide critical information to support a national-level effort for Phase II of the HEALthy Brain and Child Development Study. Aim 1 will develop, implement, and evaluate innovative recruitment and retention strategies for high-risk populations. Aim 2 will address anticipated challenges of the planned Phase II study by implementing and evaluating a multi-site, standardized research protocol including multimodal MRI of placenta, fetus, neonate, and 24-month-old brain; biospecimen collection; and assessment of substance use and other key domains. Aim 3 will evaluate data acquisition, processing, and statistical considerations to maximize data quality, usability, and integration across sites.

Current agonist treatments for opioid use disorder (OUD) are not adequate to address the opioid crisis and have abuse liability concerns. Chemokines (hormones of the immune system that mediate innate immune inflammation) enhance pain, reduce opioid analgesia, and promote drug-seeking behavior and addiction—giving them a central role at the crossroads of chronic pain and the opioid crisis. So blocking chemokines (rather than opioid receptors) provides an exciting and untested treatment opportunity for pain and OUD. This proposal will assess, in animal self-administration models that mimic human drug-taking, whether a chemokine antagonist peptide R103 reduces morphine intake, as well as if R103 will prevent or blunt naloxone-precipitated withdrawal signs in morphine-dependent rats and stop relapse.

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.

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.

Millions of Americans undergo surgery each year, with fewer than half of patients reporting adequate postoperative pain relief and approximately 75 percent reporting moderate to severe postoperative pain. Gaps in postoperative pain management that lead to the unnecessary introduction and over-prescription of opioids continue to exacerbate the opioid crisis, but virtual reality (VR) has been demonstrated to be an effective strategy for pain management. This project will enhance and improve the functionality of a VR-based technology, AppliedVR, to provide acute perioperative pain management through a new software-based VR medical device, RelieVRx™. As a non-opioid alternative intended to reduce postoperative pain, RelieVRx can potentially reduce the need for and utilization of opioids in the postoperative setting.

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.

Despite increased efforts to understand the neurodevelopmental sequelae of in utero opioid and other substance exposure on long-term behavioral, cognitive, and societal outcomes, important questions remain, specifically, 1) How is brain growth disrupted by fetal substance and related pre- and post-natal exposures? and 2) How are these disrupted growth patterns causally related to later cognitive and behavioral outcomes? This project seeks to formulate an approach to addressing these key questions and decipher the individual and cumulative effect of these intertwined pre- and post-natal exposures on child neurodevelopment. First, researchers will address the legal, ethical, and mother-child care and support concerns implicit in this study. Next, they will integrate across our areas of neuroimaging expertise to develop, implement, and harmonize a multi-modal MRI and EEG protocol to assess maturing brain structure, function, and connectivity. Finally, researchers will develop and test advanced statistical approaches to model and analyze this multidimensional and longitudinal data.