Funded Projects

The widespread availability of fentanyl and other potent synthetic opioids has dramatically increased opioid-related fatal overdoses. This project will develop and manufacture immune molecules (monoclonal antibodies) to reverse and treat overdose from fentanyl by keeping it out of the brain. This research will advance promising results in animal studies (preventing and reversing fentanyl- and carfentanil-induced breathing problems and irregular heartbeat) to clinical testing in people with opioid use disorder and others at high risk of opioid overdose from accidental or deliberate exposure to fentanyl and fentanyl-like drugs.

About 23 million Americans identify as being in recovery from opioid and other substance use disorders. While recovery support services are an established best practice to support people in recovery, there is little scientific evidence to support the efficacy and implementation of peer recovery support services, training approaches, and delivery models. Recovery support services are particularly lacking in the U.S. Southwest and for individuals who choose to take medications for opioid use disorder as part of their recovery pathway. This project will establish the Peer Recovery Innovation Network to address research gaps. This research will incorporate input from people with lived experience in all stages of the recovery process – toward helping to set the research agenda and conducting the research, as well as enhancing infrastructure for peer recovery support services research.

Although approximately 80% of people with opioid use disorder smoke cigarettes, tobacco use is rarely addressed in treatment of opioid use disorder. Moreover, smoking cessation interventions that are effective in the general population have been minimally effective among people with opioid use disorder. This project will integrate into methadone treatment programs the Mindfulness-Oriented Recovery Enhancement intervention and motivational interviewing to address use of tobacco and other drugs. This research will determine the value of this intervention compared to attending a support group or receiving motivational interviewing. The project will also examine use of tobacco, opioids, and other drugs, and whether people begin treatment. The research will also study implementation barriers and facilitators to the mindfulness-based approach as well as strategies to enhance its adoption into clinical practice.

Little is known about what motivates people to use multiple drugs. Understanding these factors is important for tailoring treatment services. Behavioral economic theory, which determines how much value individuals assign to drugs and potential negative consequences, provides a framework to understand the choices people make. This project will identify patterns, motivating factors, and long-term trajectories of opioid-involved polysubstance use behaviors and treatment. This research will use a range of methods to analyze substance use episodes as well as examine motives and preferences associated with polysubstance use behaviors and how they change over time. The findings will be combined into a toolkit to inform timing, type, and tailoring of interventions and policies to guide implementation of effective clinical strategies and policies for managing polysubstance use in healthcare systems.

Overdose fatality review teams review cases of overdose deaths to identify system gaps and innovative prevention and intervention strategies. With the rise in overdose deaths, these multidisciplinary teams require more timely population-level data to inform their recommendations. This project will develop the Overdose Touchpoints Dashboard that uses real-time data and records from multiple sources to help visualize common “overdose touchpoints” for harm reduction services and treatment opportunities. This research will compare use of the dashboard to standard overdose fatality review practices. The project will assess multiple aspects related to use of the dashboard, including process, staff attitudes, implementation successes, and usability.

Although methadone is an effective treatment for opioid use disorder, many individuals drop out of treatment, putting them at risk of relapse and overdose. One of the factors associated with poor retention in methadone treatment is concurrent cocaine use. There is currently no effective medical treatment for cocaine use disorder. However, contingency management, in which individuals receive tangible rewards for desired behaviors such as abstinence, has been shown to be effective for cocaine use. This project will test the value of a digital therapy app, DynamiCare Health Contingency Management, in methadone treatment programs to promote treatment for polysubstance use.

Chronic pain severely reduces the quality of life and ability to work for millions of Americans. Because misuse of opioids for chronic pain treatment contributes to opioid addiction and opioid overdose, there is an urgent need to study novel non-opioid mechanisms, targets, and treatment strategies for chronic pain. Many ion channels control the flow of electrical signals in peripheral sensory neurons and are thus key targets for understanding and treating chronic pain. This project will conduct detailed studies to identify major ion channel-related molecular activities, targets, and treatment strategies for chronic pain. In particular, this research will explore the role of a specific ion channel (lysosomal mechanosensitive ion channel, orTmem63A) in neuropathic pain resulting from nerve injury.

Given recent increases in co-use of opioids and methamphetamine, there is a dire need for novel treatment strategies that prevent relapse to drug use in both opioid use disorder (OUD) and methamphetamine use disorder (MUD). The localization of certain receptors for the neurotransmitter glutamate—metabotropic glutamate receptor subtypes 2 and 3 (mGlu2/3)—and the mechanism through which they transmit signals, strongly suggest that activation of both of these receptors will effectively treat multiple symptoms that contribute to relapse, such as responsiveness to drug cues, physical withdrawal symptoms, neuroinflammation, and sleep disturbances. This project seeks to evaluate molecules that can activate mGlu2/3 receptors without binding to the same site as glutamate (i.e., positive allosteric modulators) as a novel pharmacological treatment for preventing relapse to OUD. The research also will examine the potential of such modulators for treating MUD.

This research is intended to create multidisciplinary team science collaborations to develop effective interventions, best models of care for delivery of services, and sustainable implementation strategies for access to quality care for complex patients with chronic pain and opioid use disorder or opioid misuse. To allow comparison and analysis of data created in nine unique clinical trials funded across four centers, common data elements (CDEs) were selected to assess all aspects of a patient’s condition and experience. The purpose of this project is to make the IMPOWR CDE data more FAIR (Findable, Accessible, Interoperable, Reusable) by building a tool that will automate the mapping/conversion of HEAL-related data to the Observational Medical Outcomes Partnership data model that allows for systematic analysis of data from different databases. Upon completion, this tool would be shared with the HEAL research community as a new resource to enable broader harmonization and secondary data analysis.

The primary cause of death associated with opioids is opioid-induced respiratory depression, and there is currently no way to prevent this condition. The goal of this research is to develop a therapy to prevent opioid-induced respiratory depression without disrupting opioids’ analgesic effects. Previous research has shown that the hormone leptin, which suppresses appetite and increases metabolic rate, also stimulates breathing. This research project in a mouse model will test if the novel, brain-penetrant leptin receptor-binding protein E1/Aca can prevent fentanyl-induced breathing failure without diminishing fentanyl’s analgesic effects.

Most people with opioid use disorder are either not in treatment or receive inconsistent treatment. Peer support is proven to be effective at engaging patients who are unwilling or unable to seek traditional treatment, but commonly available group support models are often separate from other clinical care or are otherwise hard for patients to access. This research will test a novel, machine learning enabled, digital peer support program added to an anonymous text-based social network that can provide 24/7 support for patients at all stages of recovery. The project will examine the ability of this digital service to engage and retain patients with opioid use disorder and will also develop novel techniques to automatically analyze patient messages for clinical and social determinants of health-related needs.

Safe and effective options are urgently needed to prevent and treat opioid use disorder and polysubstance use disorders. Previous research in humans and animals suggests that activating the calcium-activated potassium channel KCa2.2 is a promising therapeutic approach for treating substance use disorders and associated health conditions. This project will perform a virtual high-throughput screen using novel machine learning approaches to discover new molecules that interact with the KCa2.2 channel. The newly discovered molecules help develop novel drugs for the treatment of opioid use disorder and associated health conditions.