Funded Projects

Prevalence rates of opioids misuse in Los Angeles County (LA) are particularly high among individuals of childbearing age and in already-vulnerable populations including African American females. These data highlight a pressing need for a systematic study of the effects of prenatal drug exposures (PDE) in the unique sociodemographic LA County area. In this project, researchers aim to establish the feasibility for the large-scale Phase II HEALthy BCD study in the Los Angeles area with three specific aims: (1) build a broad interdisciplinary team of investigators capable of a multi-faceted study of brain and behavioral development in both typically developing and at-risk infants/children; (2) establish a set of highly executable recruitment and retention strategies for both drug-free and drug-exposed infants/children; and (3)establish comprehensive study protocols that will help address the three key research objectives of the Phase II study.

Naltrexone is the only medication approved by the U.S. Food and Drug Administration to prevent relapse from opioid use disorder. This medication remains underused because it must be injected into muscle by a nurse and is relatively expensive. This project will develop and test a novel naltrexone skin patch that is easier to use, more comfortable, and inexpensive.

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. This project will compare a patient-centered tapering protocol with or without MORE in primary care offices in New Jersey and Utah. The MORE approach integrates training in mindfulness, reappraisal, and savoring to alter behavior away from valuation of drug rewards and toward natural rewards. This research will also identify practices to use MORE in primary care settings.

Use of both opioids and stimulants is increasing, but little is known about how polysubstance use evolves over time and how it influences overdose risk. This project will use data from two groups at high risk for overdose: i) participants in the AIDS Linked to the IntraVenous Experience (ALIVE) study who inject drugs and ii)  participants in the new Stimulant Opioid Non-Injection Cohort (SONIC) study. This research will identify drug use patterns and their association with treatment and overdose over time – toward informing overdose prevention efforts and interventions to improve the U.S. opioid crisis.

Enhancing the workforce of pain investigators and practitioners is a key goal of the NIH HEAL Initiative. This mentoring award leverages the resources at one of EPPIC-Net’s Specialized Clinical Centers to encourage interest in clinical pain management, in particular through multidisciplinary pain research projects. A selected investigator will train early career clinical researchers on how to develop and validate relevant pain measures and outcomes in chronic pain conditions, including chemotherapy-induced peripheral neuropathy and neuropathic chronic low back pain. Mentoring activities will include formal research and analysis, active inclusion in EPPIC-Net working groups, and collaborative writing experiences.

Deaths from opioid overdose are highly preventable with early detection and administration of naloxone, but overdose victims often die because they are alone or among untrained or impaired bystanders and thus do not receive timely resuscitation. There is an urgent, unmet need for a low-barrier, easily scalable solution that can identify opioid overdoses in real time and rapidly connect victims to naloxone therapy. This proposal seeks to commercialize an innovative overdose detection software product that can be downloaded on any commodity smartphone and can detect opioid- induced respiratory failure (i.e., overdose) and summon help. The software-only product, SecondChance, converts a smartphone into a short-range active sonar system capable of monitoring breathing and detecting overdose.

Medications for the treatment of opioid use disorders (MOUD) are effective at reducing opioid use, opioid overdose risk, and opioid-related deaths; however, retention and adherence to MOUD treatment, particularly buprenorphine (BUP), are discouragingly low. The objective of the current research is to adapt and extend a cognitive behavioral therapy-based short message system (SMS) intervention (TXT-CBT) to address MOUD treatment retention and adherence using the imFREE (Interactive Messaging for Freedom from Opioid Addiction) platform. imFREE builds upon the efficacious SMS-based TXT-CBT intervention, with content addressing retention and adherence to BUP, including mitigating risk factors for dropout, and features to notify social and provider support contacts in the face of treatment discontinuation and/or other indicators of relapse and overdose risk. By providing support to maximize BUP treatment adherence, coupled with skills to prevent relapse, imFREE may provide a cost-effective, easily deployable strategy for OUD treatment and prevention of overdose deaths.

The first ten years of life are accompanied by rapid changes to the developing brain and cognitive abilities. Complex interacting factors including genetics, early-life exposure to substances, family and social interactions, and home and community environments can affect brain and cognitive development. Three linked projects aim to develop effective research protocols to lay a foundation for a future HEALthy Brain and Cognitive Development (HBCD) birth cohort study. Project 1 will develop protocols for recruitment and retention of a diverse sample of pregnant and postpartum women with oversampling of mothers with prenatal opioid use. Project 2 will identify ethical, legal, and regulatory challenges for investigations in this vulnerable population and define effective solutions to enable recruitment and study of these participants. Project 3 will develop and evaluate protocols for acquiring high-quality, quantitative neuroimaging measures with magnetic resonance imaging and functional near infrared spectroscopy and assess effective strategies for measuring cognitive performance in young children, including those exposed to opioids.

Neuropathic pain—a debilitating form of chronic pain affecting millions of people—responds poorly to current analgesic treatment approaches. By better understanding the cellular mechanisms and compounds involved in neuropathic pain, researchers will be able to develop more targeted therapeutic approaches. This project will investigate the role that two proteins—Ly6e and Lynx1—play in various processes involved in the development of neuropathic pain, such as the activity of pain-triggering sensory neurons, interactions between neurons and immune cells, and the activity of an ion channel that has been implicated in the generation of pain signals.

With nearly 116 million people suffering from chronic pain in the United States, there is a need for new analgesics without the risks posed by opioids. Antagonists acting at TRPV1 receptor have long been recognized as one of the most promising novel classes of non-opioid analgesics. Initial tests in humans have confirmed that this class of drugs produces analgesia and is safe and well-tolerated, but side effects include hyperthermia and partial loss of heat sensitivity, leading to most research being halted. This project will conduct a set of preclinical proof-of-concept studies in rats to support the claims that, at doses that have minimal, clinically acceptable, or negligible impact on cardiovascular function, a2 adrenoceptor agonists can diminish thermoregulatory effects of TRPV1 receptor antagonists.

There is a critical need to expand research infrastructure to develop, test, and implement new clinical interventions and evidence-based opioid use disorder (OUD) treatment into diverse clinical settings. The University of Utah’s Greater Intermountain Node (GIN) will expand the existing NIDA Clinical Trial Network’s (CTN) infrastructure by developing and testing innovative OUD interventions, expanding the settings for CTN research, and bringing new research acumen to the CTN. GIN brings expertise in three spheres of OUD research: (1) non-addiction health care settings, (2) large health systems of care, and (3) implementation science. GIN’s specific aims include (1) enhance CTN’s ability to conduct research in primary care and non-addiction care settings; (2) enhance CTN’s ability to conduct research within integrated systems of care with “big data” resources; and (3) enhance CTN’s implementation of science research to integrate and disseminate evidence-based addiction care into diverse non-addiction and health system targets.

A large number of probationers/parolees with opioid use disorder have limited access to effective treatment. This study is the first random clinical trial in the United States that will assess the effectiveness of buprenorphine treatment using MedicaSafe, a system composed of secure pre-packaged buprenorphine/naloxone cartridges, designed to be dispensed by a SmartKey device that enables clinicians to track patient adherence. The study will initiate treatment at a community corrections office compared to referral to a community program. The public health impact of the proposed study would be widespread, as this model of care could be implemented throughout many areas of the United States with high rates of opioid use disorder in their probation/parolee populations that lack access to methadone treatment.

Clinician bias causes inequities in healthcare, and interventions are needed to mitigate and eradicate this bias. This project aims to develop and test the impact of two interventions on overcoming clinician implicit bias in the management of pain for children from ethnic minorities treated in the emergency department. The study will include pediatric patients from under-represented minority groups with pain from long-bone fractures or acute appendicitis who are cared for by racially and ethnically diverse caregivers. Researchers will use stakeholder-informed approaches to establish quality of care metrics and then use clinician audit and feedback as well as data from electronic health records to quantify evidence of bias.