Funded Projects

Stigma is a key barrier to retention in medication-based treatment for opioid use disorder, particularly among low-income, minority individuals. Stigma that exists at multiple levels contributes to poor retention in care, including internalized and anticipated stigma at the individual level, as well as enacted stigma at the health care provider- and community levels. There is an urgent need to develop and evaluate innovative strategies to reduce stigma at these multiple levels among low-income, racial/ethnic minority individuals to improve engagement in care. One of the most promising strategies to reduce multiple intersecting stigmas simultaneously and improve engagement in care for low-income, minority individuals is through the use of peer recovery coaches (PRCs). PRCs, individuals who have gone through the recovery process themselves and are typically state-certified, have been shown to be more acceptable for engaging and retaining low-income, racial/ethnic minority patients in treatment compared to other health workers. However, scarce research has formally evaluated the effects of PRCs on stigma. This study will test how a PRC model can reduce multiple intersecting stigmas among low-income, racial/ethnic minority individuals to improve retention in methadone treatment.

The parent U19, “Southwest Hub for American Indian Youth Suicide Prevention,” builds capacity among local tribal governments, investigators, interventionists, and service providers across three Southwestern states to: 1) identify at-risk youth and gather robust local data through surveillance; 2) provide regular monitoring and brief interventions to close gaps in continuity of care; and 3) convene regularly for shared learning, policy development, and dissemination of best practices. The parent U19 includes an innovative SMART trial study design. The purpose of this supplement is to gather data on opioid use. Our supplement aims are to: 1) expand suicide surveillance in the Southwest Hub to include opioid use as a potential precipitant, facilitator, and risk factor for subsequent suicidal behavior; 2) explore community beliefs about correlates of risk, protective factors, and behavior functions of opioid abuse in Native American youth; and 3) examine opioid use among SMART trial participants.

A major barrier to developing new pain treatments has been the absence of infrastructure to facilitate well-designed and carefully conducted clinical trials to test the efficacy of promising treatments. The UF Health Specialized Clinical Center Network will include UF Health as “hub” and statewide partners serving as spokes as part of the EPPIC Network. The University of Florida (UF) has the capability to reach more than 50% of the population of Florida, the third most populous state of the United States, and the capacity to successfully enroll patients with varying pain conditions into clinical trial protocols through its hub and spoke infrastructure as part of EPPIC-Net.

This study will evaluate novel strategies to reduce opioid use and pain in patients with end-stage renal disease receiving chronic hemodialysis (HD). Specifically, the study will examine the effect of nonpharmacologic (Acceptance and Commitment Therapy [ACT] and acupuncture) and pharmacologic (buprenorphine) interventions in HD patients who are receiving chronic opioid medications due to chronic pain and/or high pain interference. The study will enroll 720 HD patients across U.S. Hemodialysis Opioid Prescription Effort Consortium Clinical Centers to (1) determine the effectiveness of ACT and acupuncture compared with the control condition in reducing opioid dose and improving pain among HD patients; (2) identify the best adaptive intervention sequence for improved outcomes; (3) explore age, sex, and comorbidities as potential moderators of the response to the intervention; and (4) describe facilitators and barriers to the implementation of the intervention using in-depth, semi-structured individual interviews with intervention participants and providers.

Chronic overlapping pain conditions represent up to half of all chronic pain cases and can be more debilitating than other forms of chronic pain. These conditions include but are not limited to the following: temporomandibular disorders, fibromyalgia, irritable bowel syndrome, vulvodynia, interstitial cystitis/painful bladder syndrome, painful endometriosis, chronic tension type headache, migraine headache, chronic low back pain, and chronic fatigue syndrome. Common neurobiological mechanisms have been suspected to account for the overlap between these conditions, but until recently it has been difficult to efficiently classify each condition within individual patients. A digital classification tool for clinicians has been developed for this purpose, but access to the tool remains limited. Here we propose converting this chronic overlapping pain conditions classification tool into a common web-based application format.

The University of Michigan (UM) will lead a Mechanistic Research Center (MRC) as part of the broader BACPAC initiative that will take patients with chronic low back pain (cLBP) and use a patient-centric, SMART design study to follow these individuals longitudinally as they try several different evidence-based therapies while mechanistic studies are overlaid to draw crucial inferences about what treatments will work in what patient endotypes. Interventional Response Phenotyping describes the need in any precision medicine initiative to phenotype participants based on what therapies they do and do not respond to so that one can later link mechanistically distinct disease endophenotypes with those who preferentially respond to therapies targeting those mechanisms.

There are numerous non-pharmacological interventions for chronic low back pain, yet no treatment is invariably effective for all. Understanding patient characteristics that predict differential responses to these non-pharmacological interventions will allow for tailored treatments to maximize positive patient impact. This supplement supports a training experience for an individual in clinical pain research, including exploring differential response to psychotherapeutic interventions. The aim of the project is to provide an extensive systematic literature review examining baseline phenotypic factors that predict differential responsiveness to the some of the most commonly used psychotherapeutic interventions for chronic low back pain.

The NIH’s HEAL Initiative aims to support collaboration between clinical research experts in academia and industry to accelerate the development of highly efficacious, nonaddictive analgesics for well-defined chronic pain syndromes. The University of Rochester (UR), and its leadership for the UR Hub and Spokes within Early Phase Pain Investigation Clinical Network (EPPIC-Net), will recruit subjects with a broad range of pain conditions, with a focus on leveraging clinical trial infrastructure to support patient recruitment and retention, timely and accurate data entry, and regulatory documentation, as well as recruit additional Spoke sites through a national network of analgesic researchers.

EPPIC-Net will provide a robust and readily accessible infrastructure for the rapid implementation and performance of high-quality comprehensive studies of patients with well-defined pain conditions, and the rapid design and performance of high-quality Phase 2 clinical trials to test promising novel therapeutics for pain. Using the Hospital of the University of Pennsylvania as a hub and five additional centers that are part of the UPenn Health System and the Children’s Hospital of Philadelphia (CHOP) as spokes, studies will be conducted as designed by the expertise of the EPPIC Network, which intends to bring intense focus to relatively small numbers of patients with clinically well-defined pain conditions and high unmet therapeutic needs. The UPenn Specialized Clinical Center (SCC) will test novel, efficient study designs including adaptive and platform designs, validation studies of biomarkers, and biomarker-informed proof of principle or target engagement studies in Phase 2 trials of interventions from academic and industry partners.

The University of Pennsylvania Perelman School of Medicine serves as the Scientific and Data Research Center (SDRC) for the Hemodialysis Opioid Prescription Effort (HOPE) Consortium. Specifically, the SDRC will 1) provide scientific leadership for the HOPE Consortium clinical trial; 2) provide comprehensive operational support to the Clinical Centers for implementing the collaboratively designed trial protocol; 3) develop and lead a Stakeholder Engagement Working Group; 4) integrate and analyze data from the electronic health records of the participating Clinical Centers; 5) establish, promote, and maintain consortium-wide high standards for quality assurance and practices; 6) initiate and oversee contracts with industry partners; 7) prepare reports for the Data and Safety Monitoring Board, and support the preparation of Consortium reports of scientific findings; 8) prepare, document, and transfer Consortium data and biosamples to a Central Repository; and 9) develop approaches for disseminating the trial findings to diverse stakeholders.

High relapse rates among people with opioid use disorder (OUD) indicate that addiction involves appetitive pathways. Peripheral stimulation of the glucagon-like peptide-1 receptor (GLP-1R) “satiety” pathway could reduce heroin seeking and taking. Pretreatment with a GLP-1R agonist reduces heroin taking, seeking, and drug-induced reinstatement in rats. This project tests whether GLP-1R agonists can reduce relapse in humans with OUD. A pilot study will be conducted to determine whether once-daily treatment with the shorter acting GLP-1R agonist, liraglutide, can safely and effectively reduce cravings among OUD patients. Animal models will be used to test the efficacy and safety of a longer-acting GLP-1R agonist, semaglutide, and then a clinical trial will be conducted to test whether semaglutide will reduce relapse and use in animal models. If successful, the study will show that treatment with GLP-1R agonists can safely and effectively reduce opioid craving, seeking, and relapse.

This project will use a data-to-action framework to guide implementation of opioid use disorder treatment and harm reduction interventions based on rapid data analysis. It will leverage existing data systems such as Emergency Medical Services (EMS) reports, mobile integrated health case management data, and medical examiner data for near real-time data analyses, visualization, and action planning. This research will collect a range of data (opioid treatment, use of acute care services, morbidity, mortality, incarceration, housing support, and cost benefits) from a sub-acute stabilization center for people at high risk for opioid overdose, including those who have recently overdosed and are referred and transported by EMS teams.