Funded Projects

Addressing the current opioid overdose crisis requires tracking risky opioid use in a timely manner so that public health agencies can plan accordingly and supply life-saving resources. American Indian Tribes often lack such tools, even though American Indians and Alaska Natives have the highest rates of opioid overdose fatalities. This project will adapt commercialized monitoring technologies for use in Tribal communities, in consultation with affected Tribes. Through a partnership with a Tribal Fire Department and a software company providing data analytics for public safety agencies, this research will build a near real-time opioid overdose dashboard for use within Tribal boundaries. The findings may also improve data collection and outbreak monitoring for other substances, including methamphetamine and cocaine.

Chronic opioid use has well-known effects on sleep quality and circadian rhythms, but few predictive metrics core to mental and physical health and well-being are available to guide treatment with medications for opioid use disorder (OUD). This project will identify observable characteristics related to sleep and circadian rhythms that predict OUD treatment outcomes, toward refining treatment strategies and developing new ones. This data coordinating center will ensure that (1) high quality and standardized data are collected across all research sites, (2) all milestones and regulatory requirements are met, (3) study results are reported in a timely manner, and (4) that data and results are disseminated broadly.

Functional selectivity is a term used to describe the ability of drugs to differentially regulate the activity of multiple signaling cascades coupled to the receptor. The underlying mechanism for functional selectivity is based upon the formation of ligand-specific receptor conformations that are dependent upon ligand structure. Functional selectivity has the potential to revitalize the drug discovery/development process. Ligands with high efficacy for specific signaling pathways (or specific patterns of signaling) that mediate beneficial effects, and with minimal activity at pathways that lead to adverse effects, are expected to have improved therapeutic efficacy. We propose to demonstrate that ligand efficacy for specific signaling pathways associated with antinociception can be finely tuned by structural modifications to a ligand. We propose to use U50,488 and Salvinorin-A (Sal-A) as scaffolds to develop functionally selective analogs that maintain high efficacy for signaling pathways that lead to antinociception and minimize activity toward anti-antinociceptive signaling pathways.

The U.S. is in the midst of an opioid crisis, and efforts to tackle the complex and dynamic nature of this public health challenge must comprehensively consider a multitude of contributing factors. In response, states have implemented a wide range of policies and initiatives. However, the dynamic nature of the crisis and the speed with which different policy approaches are being implemented pose numerous challenges for researchers evaluating the effects of such efforts. These challenges stem in part from limited information regarding policy implementation; insufficient information about policy characteristics that may influence effectiveness; little consideration of how the chosen analytic method may influence findings, given simultaneous or concurrent implementation of multiple policies; and limited training on how to best communicate findings to policymakers. To address these challenges, the proposed Center for Opioid Policy Research (COPR) will serve as a national resource, fostering innovative and high-quality research in the opioid policy arena and developing and disseminating methods, tools and information to the research community, policymakers and the public.

There are currently no effective non-opioid-based pharmacotherapies for treatment of opioid use disorder (OUD). Glial cell line-derived neurotrophic factor (GDNF) is a beneficial protein normally present in low levels in the adult brain, and there is strong evidence that it has clinical potential as a therapy for OUD and relapse reduction. Researchers have developed a non-invasive approach that bypasses the blood-brain barrier to increase levels of GDNF using intranasal administration of gene nanoparticles that make GDNF protein within the brain. This project will test whether this intranasal GDNF gene therapy can suppress drug craving and reduce the tendency to start using a drug again after a period of abstinence in experimental models, thus providing a long-term therapeutic strategy for reducing opioid craving and preventing relapse.

The number of women misusing opioids during pregnancy has more than quadrupled in recent years, with fentanyl use rising to an all-time high. The exposure puts the fetus at serious risk for opioid withdrawal, as well as developmental and behavioral effects during infancy and childhood. This project will study the effects of fentanyl use during pregnancy on maternal physiology and stress, function of the placenta, pregnancy outcomes, as well as infant withdrawal symptoms, development, and stress. This research aims to identify new strategies for diagnosing, treating, and preventing opioid harm to the fetus and mother.

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).

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.

There is a need to develop a mu-opioid receptor (MOR) treatment with enhanced therapeutic effects and reduced undesirable effects. Recently, several highly selective and potent MOR modulators have been identified as novel leads for opioid use disorder treatment. They all showed more promising pharmacological profiles compared to other known drugs in this category. The current proposal will focus on further development of these leads for preclinical IND-enabling studies and dynamic drug discovery and development pipeline construction. This project plans to further validate therapeutic profiles of the current leads with self-administration and pharmacokinetic studies and expand the small-molecule library to build a dynamic drug discovery and development pipeline. Preclinical IND-enabling studies on the identified lead(s) will be conducted, and in vivo pharmacokinetics and pharmacodynamics profiles of the new hits will be compared with current leads to define the next generation of lead compound(s).

Use of both opioids and stimulants is increasing, but little is known about how polysubstance use evolves over time and how it influences overdose risk. This project will use data from two groups at high risk for overdose: i) participants in the AIDS Linked to the IntraVenous Experience (ALIVE) study who inject drugs and ii)  participants in the new Stimulant Opioid Non-Injection Cohort (SONIC) study. This research will identify drug use patterns and their association with treatment and overdose over time – toward informing overdose prevention efforts and interventions to improve the U.S. opioid crisis.

This study will conduct preclinical and clinical assessments of the NMDA modulator NYX-783 for treatment of opioid drug-seeking and relapse to opioid use disorder (OUD). NYX-783, a novel small molecule being developed by Aptinyx, has shown evidence of safety/tolerability in Phase 1 studies and is currently in Phase 2 trials for post-traumatic stress disorder. This project will test the safety, tolerability, and pharmacokinetics (PK) of NYX-718 in morphine-maintained patients in residential settings and then conduct a combined inpatient (safety/tolerability/PK) / outpatient (preliminary efficacy) study testing NYX-783’s effects on opioid use and relapse, stress/cue reactivity, craving, and quality of life in OUD subjects maintained on standard extended release naltrexone over a 10-week period. Successful completion of these studies will set the stage for larger scale Phase 2/3 studies of efficacy in OUD that will ultimately be required for FDA approval of NYX-783 for the treatment of drug-seeking and relapse in OUD.

Chronic pain is common, costly, and debilitating. Opioid prescription in the treatment of chronic pain is frequent and carries a consequent risk of poor treatment outcome, as well as higher morbidity and mortality in a clinically significant number of patients, particularly those who meet criteria for opioid dependence. Despite the alarming increases in prescription opiate misuse and opioid use disorder (OUD) nationally in the United States, there are few treatment options available that target both pain-related interference and OUD among patients with chronic pain. In military veterans, this issue is of particular importance as numerous reports indicate frequent use of opioids in the treatment of chronic pain, as well as increasing opioid-related problems. To date, there are no evidence-based treatment options that aim to both reduce pain interference while simultaneously addressing problematic opioid use. The overall aim of this study will be to determine the efficacy of an integrated psychosocial treatment in veterans with chronic pain who are taking buprenorphine for the treatment of OUD. To achieve this aim, they will utilize a randomized design to assess the efficacy of two empirically supported interventions: Acceptance and Commitment Therapy for chronic pain and Mindfulness-Based Relapse Prevention for substance use and misuse.

During the COVID-19 public health emergency, the Substance Use and Mental Health Services Administration relaxed regulations for take-home dosing of methadone, offering an opportunity to improve methadone treatment access and address racial and ethnic disparities. This project aims to address regulatory, legal liability, and financial concerns related to clinical practice changes in opioid treatment programs. The project will first review state administrative data and conduct qualitative interviews to inform the intervention approach. The project will then evaluate an opioid treatment program intervention involving take-home methadone and its effect on take-home dosing, retention in care, and health outcomes for Black/African American and Hispanic/Latino individuals who take methadone for opioid use disorder.