Funded Projects

Explore our currently funded projects. You may search with all three fields, then focus your results by applying any of the dropdown filters. After customizing your search, you may download results and even save your specific search for later.

Project # Project Title Research Focus Area Research Program Administering IC Institution(s) Investigator(s) Sort descending Location(s) Year Awarded
1R01DA057670-01
Peer Engagement in Methamphetamine Harm-Reduction with Contingency Management (PEER-CM) Translation of Research to Practice for the Treatment of Opioid Addiction Harm Reduction Approaches to Reduce Overdose Deaths NIDA OREGON HEALTH & SCIENCE UNIVERSITY KORTHUIS, PHILIP TODD Portland, OR 2022
NOFO Title: HEAL Initiative: Harm Reduction Policies, Practices, and Modes of Delivery for Persons with Substance Use Disorders (R01 Clinical Trial Optional)
NOFO Number: RFA-DA-22-046
Summary:

Despite substantial increases in overdose deaths among people who use methamphetamine, little is known about how to effectively provide harm reduction services to these individuals. This project will combine and test two harm reduction interventions for people who use methamphetamine. First, peer recovery support specialists will help identify personal harm reduction goals. The project will also test the value of incentives toward achieving these goals (a strategy known as contingency management).

1UG1HD107628-01
Thomas Jefferson University Hospital Clinical Site for HEAL NOWS Pharmacologic Trial Enhanced Outcomes for Infants and Children Exposed to Opioids Advancing Clinical Trials in Neonatal Opioid Withdrawal (ACT NOW) NICHD THOMAS JEFFERSON UNIVERSITY  (PA) KRAFT, WALTER K (contact); ADENIYI-JONES, SUSAN Philadelphia, PA 2021
NOFO Title: HEAL Initiative: Neonatal Opioid Withdrawal Syndrome Pharmacological Treatments Comparative Effectiveness Trial - Clinical Sites (UG1 Clinical Trial Required)
NOFO Number: RFA-HD-21-031
Summary:

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. 

Thomas Jefferson University has more than 40 years of experience optimizing approaches to the care of opioid use disorder in pregnancy and conducts clinical research on NOWS treatments. The hospital provides a robust continuum of care that supports women with opioid use disorders before, during, and after delivery. This supportive culture has resulted in a relatively high rate of clinical trial participation that will enable long-term follow up of mothers and infants.

1R01DA057613-01
Assessing the Reach, Effectiveness, and Implementation of Multiple Harm Reduction Interventions Translation of Research to Practice for the Treatment of Opioid Addiction Harm Reduction Approaches to Reduce Overdose Deaths NIDA RESEARCH TRIANGLE INSTITUTE KRAL, ALEXANDER H Research Triangle Park, NC 2022
NOFO Title: HEAL Initiative: Harm Reduction Policies, Practices, and Modes of Delivery for Persons with Substance Use Disorders (R01 Clinical Trial Optional)
NOFO Number: RFA-DA-22-046
Summary:

Numerous harm reduction strategies are available to reduce the harmful consequences of drug use. Examples include syringe services programs that provide sterile syringes, easy access to naloxone, and fentanyl test strips that may help people identify whether the substance(s) they plan to take contain fentanyl. This project aims to evaluate the use and effectiveness of several strategies in an urban environment as well as determine the openness and commitment of providers to offering them. 

R41DA056239-01
Leptin Receptor Agonist as a Novel Prevention of Opioid Induced Respiratory Depression Cross-Cutting Research Small Business Programs NIDA Arrevus, Inc. KRAUS, CARL NEIL (contact); POLOTSKY, VSEVOLOD Y Raleigh, NC 2022
NOFO Title: HEAL Initiative: America’s Startups and Small Businesses Build Technologies to Stop the Opioid Crisis (R43/R44 - Clinical Trial Optional)
NOFO Number: RFA-DA-19-020
Summary:

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.

3U54EB020404-05S1
CENTER OF EXCELLENCE FOR MOBILE SENSOR DATA-TO-KNOWLEDGE (MD2K) - OVERALL New Strategies to Prevent and Treat Opioid Addiction NIBIB University of Memphis KUMAR, SANTOSH MEMPHIS, TN 2018
NOFO Title: Administrative Supplements to Existing NIH Grants and Cooperative Agreements (Parent Admin Supp Clinical Trial Optional)
NOFO Number: PA-18-591
Summary:

Rapid technological advances are leading to field-deployable mobile sensing devices that can quantify complex dynamics of key physical, biological, behavioral, social, and environmental factors, enabling us to understand causation in complex disorders. Significant new investment is needed to develop and disseminate data analytics tools. The Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K) will generate generalizable theory, methods, tools, and software to address major barriers to processing complex mobile sensor data and its use in biomedical knowledge discovery and just-in-time care delivery. We will develop and implement a standards-based, interoperable, extensible, and open-source big data software platform for efficient implementation of MD2K data analytics. MD2K will demonstrate the feasibility, utility, and generalizability of this approach by implementing the entire MD2K data analytics system in the context of two biomedical applications: reducing relapse among abstinent daily smokers and reducing readmission among congestive heart failure patients