Funded Projects

Epidural/spinal administration of analgesics such as opioids, ziconotide and local anesthetics have profound efficacy in some of the most intractable pain conditions such as severe neuropathic pain after failed back surgery, cancer pain and post-operative pain after major abdominal/thoracic surgeries. Contulakin G (CGX) is a snail venom derived peptide that has homology with mammalian neurotensin and was shown to be safe in humans in preliminary studies. A small pilot study demonstrated CGX?s analgesic effect in some patients with spinal cord injury-associated pain. Preliminary findings from mechanistic studies in rodents identified neurotensin receptor 2 (NTSR2) as the mediator for analgesic effects of CGX. This project aims to validate spinal NTSR2 as an analgesic target utilizing three species (rat, mice and human), and two pain models (neuropathic pain and post-surgical pain). The project will utilize pharmacological and gene editing tools such as CRISPR-Cas9 and will include assessment of both sensory and affective measures of pain. A two-site parallel confirmation study is designed based on multisite clinical trials to further authenticate spinal NTSR2 as an analgesic target. Successful completion of this project could lead to the development of a non-opioid spinal analgesic that has high translational potential.

High rates of relapse and overdose deaths pose significant challenges to the treatment of Opioid Use Disorder (OUD). Anti-opioid immunotherapies (i.e., vaccines and monoclonal antibodies) have great potential to reduce long-term opioid use and overdose, with minimal risk of side effects, when used in conjunction with pharmacological treatments and/or behavioral therapies. The ability of an anti-opioid vaccine to induce antibodies that render an opioid less effective, or less rewarding, and protect from accidental overdose could provide an important therapeutic option for patients undergoing treatment for OUD. The goal of this collaborative study is to design, develop, and evaluate vaccines for use in the treatment of opioid use disorder

Using neural tissues from pain patients, this project will investigate mechanisms of neuronal and/or immune dysfunction driving chronic pain. The researchers will use spatial transcriptomics on human dorsal root ganglion (DRG) and spinal cord tissues to examine the cellular expression profile for these targets using the 10X Genomics Visium technology. The use of tissues from control surgical patients and organ donors as well as surgical patients with neuropathic pain will enable validation of expression of these targets in human tissue as well as indication of their potential involvement in neuropathic pain. This collaborative effort will use DRGs removed from pain-phenotyped patients during neurological surgery, as well as lumbar DRGs and spinal cord from organ donors. This study will map the spatial transcriptomes at approximately single cell resolution in the human DRG and spinal cord.

Exacerbation of health disparities has emerged during the COVID 19 pandemic and highlighted the recognition that minority underrepresentation in clinical research may contribute to racial disparities in health outcomes. In clinical trials related to pain, disparities in trial patient inclusion are documented by white patients often being overrepresented. Mitigating these disparities is an area in which an early-career pain investigator training and contributions may have lasting benefits. The pandemic also drove rapid expansion of telehealth for pain management without knowledge of how social and demographic factors affect utilization patterns of this care delivery model. This supplement supports research to examine the extent to which disparities exist in access to and outcomes of telehealth in socially marginalized pain patients. Findings will be applied to enrich the diversity in clinical trial populations for phase 2 safety trials performed in the HEAL EPPIC Network.

The project will address gaps in both risk identification and clinical management by utilizing comprehensive clinical data from a mature health information exchange containing more than 2.3 million patients across the spectrum of clinical care (hospitals, primary care, specialty care, community health centers, urgent care) to develop a statistically robust method to measure suicide risk associated with prescription opioid use. First, the team will couple data fusion techniques with machine learning-based approaches in identifying the clinical and demographic characteristics associated with elevated risk of suicidal behavior among prescription opioid users. Second, the team will develop clinical profiles of patients with higher risk of suicidal behavior associated with prescription opioids, and to incorporate these profiles in a clinical decision support platform that can be used for identification and intervention at the point of care. The clinical decision support tool developed under this proposal will provide a generalizable platform that could be extended to other more conventional opioid related outcomes such as OUD and overdose.

Evidence suggests that homeless youth have the highest rates of opioid use among youth subgroups in the country (Brands et al., 2005). Resolution of youth homelessness through housing and prevention services, often referred to as “Housing First”, has great potential to reduce the likelihood for the development of an opioid use disorder as well as other problem behaviors associated with living on the streets. However, only 20 percent to 30 percent of homeless youth samples report ever having stayed at a crisis shelter, 9 percent report having ever accessed mental health services, and 15 percent report ever having received treatment for substance use disorder (Ray, 2006), indicating a need to reach and engage youth in services that are feasible and acceptable. The results of this study will provide essential information for researchers and providers on the efficacy of housing plus opioid and related risk prevention services in a randomized controlled trial on opioid use, how moderators affect the response, and mechanisms underlying change.

There are alarming rates of substance abuse and diversion in hospitals, with multiple studies finding that roughly 10% of our nation’s nurses, anesthesiologists, and pharmacists are currently diverting drugs in their workplaces. Diversion continues even though most hospitals already lock addictive drugs in Automated Dispensing Machines (ADMs) and run monthly “anomalous usage” computer reports to try to detect diversion. This SBIR project will research mechanisms to detect when health care workers (HCWs) in hospitals steal or “divert” legal drugs, either to abuse themselves or to illegally sell to others, by building a computer system with (a) automated data feeds from multiple existing hospital computer systems and (b) advanced analytics to flag potential diversion for investigation. This research has the potential to reduce injuries to HCWs who are becoming addicted, destroying their careers, jeopardizing their patients’ safety, and increasingly dying from drug diversion overdoses.

The Appalachian Node of NIDA Clinical Trials Network (CTN) will address clinical research questions that arise from Central Appalachia, an epicenter of the current opioid epidemic. Its rural geography, culture of independence, strained economy, and lack of access to substance use treatment have all contributed to the epidemic. The three aims of the node are to (1) conduct multi-site trials that address the current opioid crisis, with an emphasis on conducting studies among rural and other underserved populations; (2) propose studies to test innovative uses of existing resources to implement evidence-based practices that will extend state-of-the-art care into resource-poor regions, both rural and urban; and (3) disseminate CTN findings to regional payers and policymakers, practitioners, and the community. Proposed studies built on the work of node investigators include “Serious Bacterial Infections Related to Injection Drug Use: Quality Metrics and Intervention” and “Pharmacist-Assisted Buprenorphine Treatment,” among others.

Poor medication-assisted treatment (MAT) retention disproportionately affects low-income racial/ethnic minority individuals with opioid use disorder (OUD) and increases risk for relapse; therefore, evidence-based interventions are needed to improve MAT retention. Peer recovery coaches (PRCs), trained individuals with experiences with substance use disorder, may be uniquely suited to address common MAT retention barriers among underserved populations, including stigma, challenges navigating services, housing instability, and other structural and psychosocial factors. Preliminary work by the research team suggests that behavioral activation (BA) by PRCs may be a feasible, scalable reinforcement-based approach for improving MAT retention for low-income minority OUD individuals. The study builds upon the research team’s formative work to adapt and evaluate the effectiveness and implementation of a PRC-delivered BA intervention (Peer Activate) to improve MAT retention for low-income, minority individuals with OUD.

Data suggest that members of minority groups are more likely to develop chronic pain and to have greater pain burden. We will identify a set of promising intervention targets for reducing or eliminating racial/ethnic pain disparities. We will interview adult survivors of serious physical injury, comprised of roughly equal proportions of African-Americans (AA), Latinos, and non-Latino Whites (NLW), and examine their medical records for information on injury severity and medication use in-hospital. Our aims are to determine whether: 1) AA and Latino physical injury survivors experience more severe pain relative to NLW; 2) AA and Latino injury survivors experience greater pain burden relative to NLW counterparts; 3) differences in pain severity burden are linked to a set of target candidates for interventions; and (4) pain outcomes in at-risk minority groups can be linked to a set of target candidates for group-tailored interventions to reduce pain severity and pain burden.

The expansion of opioid prescribing in recent years to better treat pain has markedly increased their usage and availability and fueled an epidemic of abuse. Up to 80 percent of addicts reported initiating their habit through prescriptions drugs. Decreasing opioid prescriptions would lower opioid exposure, with fewer people receiving the drugs and less drug available for diversion. Study investigators have identified a novel target in the brain, distinct from any of the traditional opioid receptors capable of mediating potent analgesia without the reward behavior and side effects seen with traditional opioids. They targeted this site with a series of arylepoxamides and have identified a clinical candidate (MP1000) and backup compound. MP1000 is a potent analgesic in a range of thermal, inflammatory, and neuropathic analgesic assays. It fails to show reward behavior and does not produce respiratory depression at doses 5-fold greater than its analgesic ED50. Chronic administration does not produce physical dependence or withdrawal when challenged with an antagonist. It shows no cross tolerance to morphine and can be co-administered to subjects already on opioids for pain to lower their opioid usage (i.e., opioid sparing), facilitating the eventual discontinuation of the opioid. If successful, this project could lead to the development of a viable alternative to current opioid-based analgesics with reduced side effects (such as reward and respiratory depression) compared to opioids.