Funded Projects

Opioid dependence is a leading cause of premature illness and death. Previous research suggests that a protein called G-protein coupled receptor (GPR88) controls many addiction-relevant behavioral and physiological actions of opioids. This research study will validate GPR88 as a drug target for opioid use disorder as well as develop novel, brain-penetrant GPR88-binding molecules with properties optimized for treating opioid dependence. This research is an initial step toward the goal of developing GPR88-binding molecules as novel therapeutics to facilitate abstinence in people dependent on opioids.

Medications for opioid use disorder (OUD) are safe and effective. However, many people do not take them long enough to achieve sustained recovery, putting them at risk of overdose. Peer recovery support services—which are delivered by trained individuals with lived experience of addiction and recovery—may help people with OUD initiate and stay in medication treatment. This project will adapt peer recovery support services for use in outpatient substance use treatment settings and test their implementation and effectiveness in helping people with OUD achieve long-term recovery. If successful, the program could be implemented in a variety of outpatient treatment programs, including in underserved rural areas.

According to SAMHSA’s 2017 National Survey on Drug Use and Health (NSDUH), 11.4 million persons in the U.S. report past-year opioid misuse; out of them, only 2.1 million individuals met criteria for an OUD. Very little is known about efficacious interventions for those who do not meet criteria for moderate/severe OUD (i.e., subthreshold OUD). The prevalence of subthreshold OUD in primary care settings is 5 percent to 10 percent, with higher rates (21 percent to 29 percent) among those receiving prescribed opioids. Although they are at high risk of developing moderate/severe OUD and/or dying from an overdose, little or no empirical evidence exists for pragmatic prevention interventions that can be adopted at integrated general medical settings. To study the efficacy of prevention interventions to arrest the progression from risky opioid use, researchers will test the efficacy of a STOP intervention in primary care settings. STOP adopts an early intervention approach, based on a collaborative care model to prevent progression to moderate/severe OUD, and consists of a practice-embedded nurse care manager who provides patient education and supports the primary care provider (PCP) in engaging, monitoring and guiding patients who have risky opioid use; brief advice delivered to patients by their PCP; and phone counseling of patients by behavioral health providers to motivate and support behavior change. Researchers will determine whether STOP reduces risky opioid use and examine the impact of STOP on progression to moderate/severe OUD, overdose risk behavior and overdose events in adults with risky use of illicit or prescription opioids.

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 Emory University School of Medicine in Atlanta, Georgia, allowing access to a diverse population with a high representation of Black/African American women.

Currently no medications are approved by the U.S. Food and Drug Administration to treat cocaine use disorder, which compromises cognitive function associated with achieving goals such as working memory, the ability to update information, and mental flexibility. This project will test whether  stimulating dopamine activity in the brain with the drug rotigotine (approved to treat Parkinson’s disease) is effective for treating cocaine use disorder. Past research has also shown that rotigotine can improve nerve cell and cognitive function in Alzheimer’s disease. This project will conduct a clinical trial to test whether treatment with rotigotine combined with cognitive behavioral therapy can reduce cocaine use in people with cocaine use disorder.

There is an urgent need for improved medications to treat OUD. This project will test cebranopadol, a novel synthetic medication that interacts in a new way with the human opioid system as a safe and potentially effective alternative treatment for OUD. The research will test the safety and efficacy of cebranopadol in preclinical and clinical studies, toward guiding future research to support potential approval of this medication by the U.S. Food and Drug Administration.

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.

This study will (1) test pharmacologic and behavioral strategies to improve OUD pharmacotherapy treatment retention and to improve outcomes among patients who have been successfully stabilized on OUD medications and want to stop medication and (2) identify predictors of successful outcome and develop a stage model of relapse risk.

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.

Opioid use disorder (OUD) is a significant public health problem in the United States. Particularly troubling is the rapid evolution of an opioid epidemic within the past decade, characterized by a surge in unintentional overdose deaths involving synthetic opioids, such as fentanyl. The current standard of care for opioid overdose is reversal with opioid antagonist naloxone. Naloxone is effective at reversing overdose from prescription opioids and heroin, but less effective when combating fentanyl, due to fentanyl?s high potency. Therapeutic monoclonal antibodies (mAbs) against fentanyl could overcome this problem by specifically preventing the drug from entering the central nervous system, averting overdose and attenuating opioid-induced respiratory depression. This study will develop and design of laboratory protocols needed to establish a Good Manufacturing Practice (GMP) process, quality assurance protocol, and stability profile for a new human mAb against fentanyl. Subsequent production of current GMP material will enable Good Laboratory Practice (GLP) toxicology studies in rats and dogs and eventually a Phase I/IIa clinical trial. This material will also be used in final opioid-induced respiratory depression studies in mice and non-human primates to confirm therapeutic efficacy of final drug product. If successful, these activities will enable filing for an investigational new drug application for this mAb candidate with the FDA.

Monitoring and reporting substance use and substance use disorder is difficult to obtain in real-time using conventional methods. However, social media captures large amounts of data about substance use that are reported by diverse groups of people. Analysis of these data can provide population- or subpopulation-level insights, at low cost and in near real-time. This project aims to convert large amounts of social media data on substance use into actionable knowledge using advanced natural language processing and artificial intelligence approaches. The researchers will publicly release the aggregated statistics through a dedicated dashboard and provide user-friendly, open-source tools to determine trends and analyze disparities.

Decreasing opioid dosing faster than advised by clinical recommendations often leaves chronic pain unaddressed and may increase the risk of overdose and suicide compared to continuing long-term opioid treatment. Clinical and research communities are uncertain about how to assess and manage long-term opioid therapy, despite having diagnostic and treatment frameworks for chronic pain and opioid use disorder. Because of this undefined space, health policy, institutions, and practitioners lack clear advice on long-term opioid prescribing in chronic pain. The goal of the MRC is to provide infrastructure support for the network; create a risk-benefit decision tool to assist providers in determining when opioids should be continued as prescribed, tapered, or tapered/discontinued; and develop and validate a clinical definition for this population (name, identifying associated symptoms/behaviors, and generating a screening tool). This project will leverage big data analytics in administrative datasets, natural language processing approaches in electronic health records, and cohort modeling techniques to accomplish these key responsibilities. These efforts will complement the qualitative data collection approaches in the Becker Resource Center.