Funded Projects

Opioid use disproportionally affects people with co-occurring mental health disorders. Although medication for opioid use disorder (MOUD) is the gold standard of care, engagement rates are low. Also, it is unclear whether addition of one or more behavioral interventions improves outcomes of MOUD treatment, particularly in patients with co-occurring mental health disorders. This project evaluates the effectiveness of the “Maintaining Independence and Sobriety through Systems Integration, Outreach and Networking (MISSION)” intervention—a multi-component, cross-disciplinary, team-based treatment approach that combines three evidence-based practices with MOUD—in people with co-occurring mental health disorders. The 4-year, five-arm, randomized controlled clinical trial will determine the therapeutic benefit of adding MISSION to MOUD and identify the MISSION components that yield the largest clinical improvement and offer the greatest return on investment.

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.

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.

Critical limb ischemia is the most severe form of peripheral artery disease, is very painful, and can lead to amputation and even death. Most patients with this condition live with chronic pain, but comprehensive and effective treatment is lacking. This project will use existing data from three databases to study medical pain management approaches used over time by individuals with critical limb ischemia – toward creating an integrated, patient-centered, and multimodal pain management approach for this condition.

Opioid use during pregnancy is associated with adverse outcomes for pregnant individuals and offspring. The mechanisms through which these outcomes arise and the consequences of prenatal opioid exposure on child health and development remain largely unexplored. The HEALthy Brain and Child Development (HBCD) Study is a nationwide longitudinal prospective study of early child development that will assess a broad spectrum of biological, behavioral, social, and health factors among 7,500 pregnant women and their children from pregnancy to mid-childhood. This supplement will expand the biospecimen collection of the HBCD protocol at the University of North Carolina at Chapel Hill to include delivery specimens (placenta, cord tissue, and cord blood). This will provide an unprecedented resource-generating opportunity for the larger scientific community to comprehensively evaluate mechanisms that mediate the connection between substance use during pregnancy and adverse neonatal, infant, and/or maternal health outcomes and inform innovative preventive strategies.

A critical line of defense against opioid use disorder (OUD), one of the nation’s leading preventable causes of death, must be standardized screening provided by the patient’s primary care physician, psychiatrist, and/or counselor. Standardized screening methods for opioids, however, are simply inferior and no gold standards exist. This project aims to develop a validated, theoretically guided tool that provides clinicians with information beyond OUD symptoms using reinforcer pathology, a measure of severity derived from the synergy between excessive delay discounting and high behavioral economic demand. The Behavioral Economic Screening Tool (BEST-OUD) will use these combined measures in a mobile tablet application to enable clinicians to screen for OUD.

There is a need for safe, effective, well- tolerated drugs to treat painful neuropathy by halting or reversing the underlying pathology of the disease. One promising approach to treating painful neuropathy without opioids is the use of ghrelin, a 28-amino acid acylated peptide hormone. However, it has a short half-life and must be delivered via a constant intravenous infusion to have a therapeutic effect. Extend Biosciences' D-VITylation platform technology is truly enabling for small peptide-based therapeutics that are rapidly cleared from the bloodstream by renal filtration. The platform harnesses the naturally long half-life of vitamin D and its dedicated binding protein, VDBP. When the vitamin D molecule is conjugated to a biological therapeutic, it dramatically improves the half-life and bioavailability of the drug. Use of the technology should also allow the drug to be self-administered by subcutaneous injection. This would be of significant benefit to patients. In this project, the team will test the efficacy of EXT405 in a cell-based model of neuropathy as well as in animal models of CIPN and diabetes- induced neuropathy.

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.

Using a meta-analytic approach, this study analyzes existing data sets of individuals with drug use disorders to determine the impact of drug-focused 12-step mutual help groups, free of selection bias, in reducing opioid consumption and opioid-related problems.These data will be used to predict how augmentation of 12-step mutual help groups, added to medications for opioid use disorder (MOUD), may be used to improve retention in OUD treatment.

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.

Identifying optimal chronic low back pain treatments on a patient-specific basis is an important and unresolved challenge. Tailoring interventions according to patient movement characteristics is one option. This research is characterizing patients based on spinal motion during functional tasks and daily activities and will use artificial intelligence to objectively characterize motions of the spine during both clinical assessments and day-to-day life. During clinical assessments, participants will be asked to perform functional tasks while wearing motion sensors. Data collected from the sensors will be used to identify tasks of interest, such as activities of daily living and aberrant/painful motions. An artificial intelligence approach will then interpret data collected continuously during assessment in patients’ homes over a 7-day testing period. Ultimately, this data could be used to help clinicians tailor treatments that are responsive to a patient’s real-world functional impairments.

The University of Pittsburgh Low Back Pain: Biological, Biomechanical, and Behavioral Phenotypes (LB3P) Mechanistic Research Center (MRC) will to perform in-depth phenotyping of patients with chronic low back pain (cLBP), using a multimodal approach to characterize patients and provide insight into the phenotypes associated with experience of cLBP to direct targeted and improved treatments. The LB3P MRC will be formed of three Research Cores, three support cores, and one research project. This approach will leverage and integrate distinctive resources at the University of Pittsburgh laboratories to deliver quantified biomechanical, biological, and behavioral characteristics; functional assessments; and patient-reported outcomes, coupled with advanced data analytics using a novel Network Phenotyping Strategy (NPS). By eliminating isolated and disconnected approaches to treatment and focusing on personalized patient-centric approaches, this approach will yield improved outcomes and patient satisfaction.