Funded Projects

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.

This project will build overdose models for fentanyl, methadone, codeine, and morphine in a multi-organ system and evaluate the acute and repeat dose, or chronic effects, of overdose treatments as well as off-target toxicity. Researchers developed a system using human cells in a pumpless multi-organ platform that allows continuous recirculation of a blood surrogate for up to 28 days. They will develop two overdose models for male and female phenotypes based on pre-B?tzinger Complex neurons and will integrate functional immune components that enable organ-specific or systemic monocyte actuation. Models for cardiomyopathy and infection will be utilized. Researchers will establish a pharmacokinetic/pharmacodynamic model of overdose and treatment to enable prediction for a range of variables. We will use a serum-free medium with microelectrode arrays and cantilever systems integrated on chip that allow noninvasive electronic and mechanical readouts of organ function.

Many individuals with opioid use disorder (OUD) pass through the criminal justice system over the course of their life. Improved access to high-quality, evidence-based addiction treatment in justice settings will be critical to addressing the opioid crisis. Through the Justice Community Opioid Innovation Network (JCOIN), the National Institutes of Health will study approaches to increase high-quality care for people with opioid misuse and OUD in justice populations. The Methodology and Advanced Analytics Resource Center (MAARC) will provide data infrastructure support across the network using advanced methods that provide best-in-class data storage, management and security with added value to clinical trials through products of forecasting, rapid real-time assessments, explication and exploration of trial findings, and cost-effectiveness analysis.

Drug checking services provide individuals who use drugs with information about the true contents of their purchases, and thus may help prevent overdoses. However, current technologies are either costly, technically complex, and non-portable or subject to false signals and restricted in their detection capabilities. This project will continue development of a new, simple-to-use, point-of-care analytical technology (DoseCheck) that can rapidly detect established drug threats in a sample and recognize newly emerging drugs. The project will also attempt to adapt DoseCheck to provide rapid results in emergency overdose situations and improve the analytical capabilities of medical examiners in under-resourced jurisdictions.

Community pharmacies are optimal—yet underutilized—settings for identifying individuals with opioid use disorder (OUD) and increasing their access to treatment. Approximately 93 percent of individuals in the U.S. live within 5 miles of a community pharmacy. The most common opioid-related tool available to pharmacists is the prescription drug monitoring program (PDMP), which provides highly limited information and support for clinical decision making. Appriss Health, the largest U.S. PDMP vendor, covering 42 states, has developed an opioid risk measure, the NarxScore. This study will clinically validate the NarxScore metric and identify high, moderate and low opioid risk thresholds to inform OUD care management within urban and rural community pharmacies. This is a prospective cross-sectional comprehensive OUD risk and behavioral/physical health survey administered electronically with patients (n = 1,523) filling opioid medications in urban/rural community pharmacies in Ohio (pharmacy sites: n = 12) and Indiana (pharmacy sites: n = 3), states that continue to have disproportionately high rates of overdose and opioid prescribing. Correlation, regression and kappa statistics will be calculated for validation; receiver operating curves with sensitivity/specificity values will be employed for threshold identification (with >95 percent power to detect an area of 0.7 under the curve value).

Community pharmacies are optimal—yet underutilized—settings for identifying individuals with opioid use disorder (OUD) and increasing their access to treatment. Approximately 93 percent of individuals in the U.S. live within 5 miles of a community pharmacy. The most common opioid-related tool available to pharmacists is the prescription drug monitoring program (PDMP), which provides highly limited information and support for clinical decision making. Appriss Health, the largest U.S. PDMP vendor, covering 42 states, has developed an opioid risk measure, the NarxScore. This study will clinically validate the NarxScore metric and identify high, moderate and low opioid risk thresholds to inform OUD care management within urban and rural community pharmacies. This is a prospective cross-sectional comprehensive OUD risk and behavioral/physical health survey administered electronically with patients (n = 1,523) filling opioid medications in urban/rural community pharmacies in Ohio (pharmacy sites: n = 12) and Indiana (pharmacy sites: n = 3), states that continue to have disproportionately high rates of overdose and opioid prescribing. Correlation, regression and kappa statistics will be calculated for validation; receiver operating curves with sensitivity/specificity values will be employed for threshold identification (with >95 percent power to detect an area of 0.7 under the curve value).

American Indian and Alaska Native (AI/AN) youth and young adults experience disproportionately high rates of suicide, mental health disorders, traumatic life events, and substance use disorder. More effective, culturally informed interventions are needed that are tailored to the specific needs of this population. This supplement will examine how a person?s social network contributes to their behavioral health (suicide risk, mental health, substance use) status and how this network can be leveraged to improve the uptake of prevention interventions. The long-term goal is to disseminate and translate the lessons learned into practical policy, organizational changes, and preventive innovations that optimize patient-centered health outcomes and ultimately reduce or eliminate the dramatic and tragic suicide-related health disparities among urban AI/AN YYAs.

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.

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 Florida study site will recruit a diverse group of mother-infant pairs from urban and rural communities in North Central Florida.

Opioids have been significantly over-prescribed and are associated with numerous deaths, resulting in the nation’s current opioid crisis. The FDA recently approved the ?2 adrenergic agonist lofexidine as a non-addictive, non-opioid treatment for opioid use disorder (OUD), but there is a continued, urgent need to develop additional pharmacological alternatives to address both pain and OUD. The psychoactive, natural product, Mitragyna speciosa (kratom), has triggered significant interest in this space because Mitragynine, its main alkaloid, can interact with both mu opioid and ?2 receptors, offering a totally new approach for treating OUD. This project involves the synthesis and research of a series of Mitragynine analogs to better understand the pharmacological mechanisms that underlie Mitragynine’s opioid and adrenergic activities. If successful, this project will result in templates for the design of novel opioid receptor ligands. This advance would greatly improve the knowledge of interactions of these structurally novel compounds with opioid receptors and facilitate the development of these ligands as treatments for OUD.

The Great Lakes Node of the NIDA-supported Drug Abuse Clinical Trials Network (CTN) represents all of the major academic medical centers in the Greater Chicago and Wisconsin areas and serves as a vital Midwestern hub for the CTN. This project supports a scientist from a group underrepresented in biomedicine to expand the work of this CTN node on research in several areas. These include mHealth, eHealth, artificial intelligence, natural language processing, and telehealth interventions; focus on youth/adolescent health and seniors/aging; health disparities; and professional education about opioid and substance treatment.

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.