Funded Projects

Hospital inpatient stays due to opioid-related health problems are a reachable moment for increasing access to treatment with medications for opioid use disorder (MOUD). Hospitalized patients with opioid use disorder (OUD) are at particularly high risk for morbidity, mortality, and high medical costs in the U.S. This study will substantially inform the care management of OUD in hospitalized patients. The project includes a comparative effectiveness research trial and an implementation research trial, which will lead to models of broad dissemination for treatment approaches to this largely unaddressed population. They will examine whether (1) in hospitals with addiction medicine consultation services, hospital-initiated extended-release buprenorphine (XR-BUP), compared with other OUD medications, results in increased engagement in treatment with MOUD following hospital discharge and (2) training hospitals without such consultation services on best practices for initiating MOUD using consultation service hubs improves medication uptake in hospitals and increased MOUD treatment engagement following discharge.

This health care data mining study analyzes existing Veterans Health Administration data sets to examine patient and organizational characteristics associated with buprenorphine termination during outpatient OUD treatment. This project will generate data useful for predictive modeling on how to implement targeted approaches to improve retention in OUD treatment. An objective is to identify patient, provider and system targets to reduce unnecessary or inappropriate discontinuation of buprenorphine care. These analyses are critical for establishing initial constructs to evaluate reasons for treatment discontinuation based upon patient, provider and system factors in different health care settings.

Although medications are available to treat opioid use disorder (OUD), adherence with treatment programs remains a problem. Nalmefene is an opioid receptor antagonist that was previously approved for treatment of opioid overdose–induced respiratory depression that has a longer duration of action than naloxone. AP007 is a unique formulation of nalmefene-loaded poly(lactic-co-glycolic acid) (PLGA) microparticles that when injected intramuscularly continually releases an effective dose of nalmefene and thus reduces opioid cravings in OUD patients. This group is developing AP007 and will have a lead formulation selected based on in vitro release kinetics data and in vivo pharmacokinetics data in rats. The objectives of the project are to determine safety and efficacy of AP007 in a swine opioid use/withdrawal model, preliminary safety in a first-in-human Phase 1 study, and preliminary efficacy in a Phase 2a multidose study. These results will be used to develop Phase 2 human and Phase 3 clinical studies.

The ACT NOW Outcomes of Babies with Opioid Exposure (OBOE) Study – also called the ACT NOW Longitudinal Study – is a longitudinal cohort study to prospectively examine longitudinal outcomes from birth to 2 years of age among infants who were exposed to opioids in utero as compared to matched controls. The objectives of this study are to i) determine the impact of pre-birth opioid exposure on brain structure and connectivity over the first 2 years of life, ii) define medical, developmental, and behavioral outcomes over the first 2 years of life in infants exposed to opioids, and iii) Explore whether and how the home environment, maternal mental health, and parenting affect brain connectivity and neurodevelopment trajectories over the first 2 years of life. This research will use an innovative approach to engage a more diverse study population and thereby improve the generalizability of the research findings.

The incidence of Neonatal Opioid Withdrawal Syndrome (NOWS) in the United States has increased more than fivefold since 2004 to almost 7 per 1,000 hospital births. It is unknown how these effects are modulated by associated maternal, neonatal, and environmental factors and how the environment, maternal health, and parenting styles modify trajectories of brain connectivity and neurodevelopment. This study leverages the established infrastructure and longstanding collaborations of four clinical sites and the data coordinating center of the Eunice Kennedy Shriver National Institute of Child Health and Human Development Neonatal Research Network to address current critical knowledge gaps in childhood brain structure and connectivity and on medical, developmental, and behavioral trajectories in early childhood. The study will analyze a well-characterized observational cohort using clinical and neuroimaging measures to improve understanding of the structural and functional sequelae resulting from prenatal opioid exposure and NOWS and their interactions with the maternal-infant dyad.

The HEALthy Brain and Child Development National Consortium (HBCD-NC) will establish a normative model of developmental trajectories over the first 10 years of life. All sites in the HBCD-NC will carry out a common research protocol and will assemble and distribute a comprehensive research dataset to the scientific community. The HBCD-NC will collect neural, behavioral, physiological, and psychological measures, as well as biospecimens, to characterize neurodevelopmental trajectories. Most participants will be recruited in the second trimester of pregnancy, with a smaller subset recruited at birth, and followed for the first 10 years of life. The University of San Diego study site will recruit a diverse cohort of mother-infant pairs, including Hispanic and American Indian individuals.

The HEALthy Brain and Child Development National Consortium (HBCD-NC) will establish a normative template of developmental trajectories over the first 10 years of life. All sites in the HBCD-NC will carry out a common research protocol and will assemble and distribute a comprehensive and well curated research dataset to the scientific community at large. The HBCD-NC will collect neural, behavioral, physiological, and psychological measures, as well as biospecimens, to characterize neurodevelopmental trajectories. Most participants will be recruited in the second trimester of pregnancy, with a smaller subset recruited at birth, and followed for the first 10 years of life. The University of New Mexico Health Science Center study site is in a largely rural/mixed state with one of the highest rates of overdose in the nation. This site will enroll diverse mother-infant pairs and partners or caregivers, including Hispanic/Latinx and American Indian individuals.

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.

Neonatal Opioid Withdrawal Syndrome (NOWS) is a condition that occurs when newborns are exposed to opioids during pregnancy. Symptoms often include tremors, excessive crying, sleep deprivation, and swallowing difficulties. Cases are rising, with a newborn affected by NOWS approximately every 15 minutes. Currently, healthcare providers in the United States lack standard, evidence-based treatments for NOWS. 

This project is part of a multi-center, randomized controlled clinical trial that directly compares NOWS treatments—morphine, methadone, and buprenorphine—and takes into account other types of non-drug therapies, such as behavioral interventions. The goal is to generate results that can inform clinical practice guidelines and give newborns with NOWS the best start possible. 

The University of Alabama at Birmingham routinely treats newborns with NOWS and has been part of NICHD’s Neonatal Research Network (NRN) for more than 25 years. The center has an excellent track record of enrollment in clinical studies, with successful follow-up to 2 years of age and beyond.

Significant racial, ethnic, socioeconomic, and geographic disparities affect access to opioid use disorder (OUD) treatment and have thus contributed to the opioid overdose crisis. Patient navigator interventions after hospitalization can improve access to treatment, but challenges prevent full adoption of these strategies. These include lack of coordination across institutions, inadequate data sharing, workforce shortages, and lack of awareness, especially in resource-limited communities. This project aims to develop a hospital system-wide patient navigation protocol that can be scaled up to address OUD treatment linkage and continuity after hospitalization.

Mismanagement of orofacial chronic pain, such as temporomandibular joint and muscle disorders (TMJD) and oral cancer, substantially contributes to opioid overuse; overdose-related deaths; and cardiovascular, renal, and neurological complications at epidemic proportions. The current paradigm implies that orofacial conditions could trigger maladaptation of the immune system and plasticity supporting persistent inflammation, which influences the development and maintenance of orofacial chronic pain. LIGHT (TNFSF14) and Lymphotoxin-beta (LT?), members of the tumor necrosis factor superfamily, provide a balance between protective immunity and immunopathology during chronic inflammatory diseases. This project will test the hypothesis that targeting LIGHT and LT? signaling could prevent the development and inhibit the maintenance of chronic pain produced by TMJD and oral cancer, via peripheral mechanisms involving plasticity of immune, stromal, and tumor cells, as well as sensory neurons. The proposed research is significant as it advances our understanding of mechanisms regulating the development and maintenance of orofacial pain and offers new therapeutic targets and an immunotherapeutic approach for preventing and blocking chronic pain during TMJD and oral cancer.

This supplement supports the goals of the current award, “An Evaluation of the National Zero Suicide Model Across Learning Healthcare Systems” (U01MH114087). Safety planning is a highly recommended practice within the Zero Suicide framework, but little is known about the effectiveness of the individual elements that can make up a safety plan, such as lethal means assessment, identification of supportive contacts, coping skills, warning signs, and sources of distraction. All of the documentation lives in text-based clinical narratives. This supplement will support development of new metrics using natural language processing to determine baseline rates, from which we can quantify the change in safety planning and lethal means assessment practice longitudinally after implementation of new safety planning templates using our Zero Suicide main award.

The HEAL Initiative is establishing a HEAL Data Ecosystem to help investigators manage and share HEAL-generated data. A key principle underlying the HEAL Data Ecosystem strategy is to make those data findable, accessible, interoperable, and reusable (FAIR). Renascence Computing Institute at the University of North Carolina Chapel Hill (RENCI) and RTI, International (RTI) [RENCI/RTI] are serving as the HEAL Data Stewardship Group to guide HEAL investigators as they prepare their data to connect to the HEAL Platform, a secure data access and computing environment that will leverage metadata query to provide access to data and digital assets stored in various disparate repositories. The HEAL Data Stewardship Group is engaging HEAL investigators to understand and enhance data management needs, provide tools, training, and best practices for making data FAIR, and understand and support valuable uses and reuses of HEAL data sharing via the Platform The HEAL Data Stewardship Group will collaborate closely with the HEAL Platform team at the University of Chicago to meet the needs and goals of the HEAL Data Ecosystem.