Funded Projects

Infants exposed to opioids during pregnancy can develop neonatal opioid withdrawal syndrome (NOWS). To date, clinicians generally use subjective evaluation to determine if an infant has NOWS, how severe the condition is, and if the infant needs treatment with or without medications. This project will evaluate whether an objective physiologic measure—continuous measurement of oxygen levels in the infant’s blood—can be used to develop a scoring system for assessing NOWS severity. The project will also develop and test a device to continuously monitor blood oxygen levels in the infants.

Chronic pain results in long-term changes throughout the central nervous system. These include abnormal structure and function of the frontal cortex region of the brain, which relays pain messages and also the common pain-related conditions depression, anxiety, and cognitive impairment. Peripheral nerve injury results in widespread and long-lasting changes to DNA in the frontal cortex. DNA methylation, in which chemical tags are attached to DNA, is one way the body controls the activity of genes over time. This control occurs via proteins that recognize tagged DNA, and some of these proteins do not work properly in the frontal cortex many months after nerve injury. These changes occur after nerve injury and are linked to mechanical sensitivity. This project will determine this DNA-binding protein is a good target for finding new medications for chronic pain. 

There are currently no medications approved by the U.S. Food and Drug Administration to treat methamphetamine use disorder, even though risky patterns of methamphetamine use and overdose deaths have increased in recent years. Research using animal models shows that immune molecules that latch onto methamphetamine (anti-methamphetamine antibodies) show promise in blocking the effects of the drug. This project aims to identify a long-acting monoclonal antibody targeted to methamphetamine and conduct development and safety studies to prepare for future testing of the antibody treatment in humans.

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.

Chronic pain and opioid use disorder often occur together, but there are a striking lack of integrated treatments accessible to people in need, particularly Black and Hispanic individuals living and seeking care in under resourced settings. This research will examine multi-modal, evidence-based practices in diverse health care settings and among diverse populations with both chronic pain and opioid misuse/disorder. The first project will examine the effects of yoga and physical therapy onsite at methadone opioid treatment clinics. The second project will test Acceptance and Commitment Therapy and a care-management smartphone app for individuals in primary-care based buprenorphine treatment. The third project will compare microdosing versus standard doses/timing of buprenorphine for hospitalized patients. All three projects will improve access to care for Black and Hispanic individuals in under resourced settings by bringing integrated treatments to them. The interventions have high potential to be used broadly.

Four out of five youth in the juvenile justice (JJ) system show evidence of being under the influence during their offenses, and more than half test positive for substances at the time of their arrest. Preventive intervention approaches that can be easily implemented within JJ settings may offer greater access to substance use care as well as increase families’ motivation to comply with court referrals to seek further services. It is especially important to evaluate interventions for court-involved, non-incarcerated (CINI) juveniles, as these youth account for two-thirds of those arrested; however, the bulk of extant research has been conducted with detained or incarcerated youth. In this application for supplemental funding, we capitalize on our parent grant (Brief Individual and Parent Interventions for Marijuana Misuse in Truant Adolescents) by proposing to develop an adjunctive, targeted preventive intervention for marijuana-using, JJ youth who are at elevated risk for illicit opioid use. The goal will be to develop a protocol for a single-session, parent-adolescent preventive intervention to decrease the likelihood of illicit opioid use in CINI adolescents. This formative work will culminate in a draft intervention manual.

Therapeutic virtual reality (VR) has emerged as a promising and evidence-based treatment modality for musculoskeletal pain, including chronic low back pain (cLBP). Users of VR wear a pair of goggles with a close-proximity stereoscopic screen that creates a sensation of being transported into lifelike, three-dimensional worlds. By stimulating the visual cortex while engaging other senses, VR modulates the user’s processing of nociceptive stimuli. Functional magnetic resonance imaging (fMRI) of the brain reveals that VR has similar effects on the sensory and insular cortex as opioids, and head-to-head trials show that VR achieves similar or greater analgesia as hydromorphone. Since there are few data regarding long-term efficacy and safety of VR in cLBP, this study will measure patient-reported outcomes, biometric outcomes, and opioid use in nonspecific cLBP patients under various experimental conditions using VR therapy.

Although digital health technologies are now widely available for both therapeutic and monitoring applications, there are wide variations in patient knowledge, attitudes, beliefs, and preferences regarding their uptake and effectiveness. There are also sociodemographic variations in willingness to participate in digital health research studies, both for chronic pain and other common disorders. However, few efforts have systematically examined patient-level predictors of digital health uptake and benefit among diverse individuals who experience chronic pain. This research will employ mixed methods to examine variations in engagement and benefit among diverse participants in a large clinical trial examining the benefits of virtual reality for treatment of chronic lower back pain.

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.

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.

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.

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.