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) Sort ascending Investigator(s) Location(s) Year Awarded
1R43DA049684-01
Non-intrusive detection of temporary neurologic impairment by opioids Cross-Cutting Research Small Business Programs NIDA ZXEREX CORPORATION BESSERMAN, RICHARD Scottsdale, AZ 2019
NOFO Title: PHS 2018-02 Omnibus Solicitation of the NIH for Small Business Innovation Research Grant Applications (Parent SBIR [R43/R44] Clinical Trial Required)
NOFO Number: PA-18-573
Summary:

With the exception of the Breathalyzer for alcohol, there is currently no available technology that can immediately identify neurologic impairment related to the use of licit or illicit drugs. The presently available methods for detecting opioids—which rely upon analysis of urine, blood, saliva, or hair—are expensive, time-consuming to implement, and can take days to deliver actionable information to meet the “fitness-for-duty” concerns of employers as well as the needs for immediate detection of drug use in the drug rehabilitation and public safety fields. This project intends to develop a non-invasive means of identifying temporary neurological impairment from prescription opioids using analysis of involuntary eye movements. The resultant biometric signature of opioid impairment will be incorporated into Zverex’s existing product library of oculomotor biosignatures, such as marijuana impairment and fatigue.

2R44MD015912-03
Clinical Optimization of Ultrasonic Drug Delivery Technologies for Underserved Minority U.S. Veterans in Chronic Pain Cross-Cutting Research Small Business Programs NIMHD ZETROZ SYSTEMS, LLC LEWIS, GEORGE KENNETH Trumbull, CT 2023
NOFO Title: HEAL Initiative: Development of Therapies and Technologies Directed at Enhanced Pain Management (R43/R44 - Clinical Trial Required)
NOFO Number: RFA-NS-20-010
Summary:

Osteoarthritis is one of the most common joint diseases affecting Americans. Osteoarthritis is particularly high among veterans with a service-related disability. This project will develop and refine a wireless ultrasound device that increases the penetration of over-the-counter pain medications into the body, which is expected to reduce pain. The research will conduct safety and clinical testing toward commercializing this technology. 

3UG1 DA013035
Emergency Department-INitiated bupreNOrphine and VAlidaTIOn Network Trial (ED-INNOVATION) Translation of Research to Practice for the Treatment of Opioid Addiction Enhancing the National Drug Abuse Treatment Clinical Trials Network to Address Opioids NIDA YALE UNIVERSITY; NEW YORK UNIVERSITY Gail D'Onofrio/Roger Weiss; John Rotrosen/Edward Nunes New Haven, CT 2021
NOFO Number:
Summary:

Emergency department (ED)-initiated buprenorphine/naloxone (BUP) with referral for ongoing BUP is superior to referral alone in engaging patients with untreated opioid use disorder (OUD) in treatment at 30 days and is cost-effective. However, logistical barriers exist in translating research into practice. New BUP formulations such as the extended-release injectable BUP (CAM2038, XR-BUP) hold promise in addressing many of the barriers more effectively than sublingual buprenorphine (SL-BUP) by treating the patients’ symptoms for up to seven days. This study will recruit, train and provide resources to 30 ED sites throughout the U.S. using implementation facilitation strategies to address stigma and provide ED-initiated BUP for patients presenting with OUD who are not receiving medications for OUD. Once implementation is adequately achieved, the sites will conduct a randomized controlled trial (RCT) to compare the effectiveness of SL-BUP versus XR-BUP on ED patients’ engagement in formal addiction treatment seven days after their ED visit. In addition, in an ancillary component of the study, the use of XR-BUP will be assessed in ED patients with Clinical Opioid Withdrawal Scale (COWS) scores of 4-7.

1R61DA057675-01
Using System Dynamics Modeling to Foster Real-Time Connections to Care Cross-Cutting Research Translating Data 2 Action to Prevent Overdose NIDA YALE UNIVERSITY HECKMANN, REBEKAH (contact); S SABOUNCHI, NASIM New Haven, CT 2022
NOFO Title: HEAL Initiative: HEAL Data2Action Innovation Projects (R61/R33 Clinical Trial Optional)
NOFO Number: RFA-DA-22-051
Summary:

First responders prevent many overdose deaths by providing life-saving resuscitation and giving naloxone to reverse an opioid overdose. This project will use a modeling approach to assess the impact of Good Samaritan Laws that protect people from certain criminal penalties if they call 911 to save an overdose victim by giving naloxone on overdose mortality. This research will develop and test a novel, scalable, telehealth platform that can be used at the time of an opioid overdose to link patients with access to medication for opioid use disorder, harm reduction services, and recovery support. The research will be informed by patient-outcome data.

1R61DA059169-01
Leveraging Data to Action: Accelerating Emergency Department OUD Care by Improving Data Access and Infrastructure Cross-Cutting Research Translating Data 2 Action to Prevent Overdose NIDA YALE UNIVERSITY VENKATESH, ARJUN KRISHNA (contact); HAWK, KATHRYN; TAYLOR, RICHARD ANDREW New Haven, CO 2023
NOFO Title: HEAL Initiative: HEAL Data2Action – Innovation and Acceleration Projects, Phased Awards (R61/R33, Clinical Trial Optional)
NOFO Number: RFA-DA-23-057
Summary:

Emergency departments (EDs) are key settings for identifying and treating opioid use disorder (OUD), but EDs are underused for this purpose. This project aims to develop a data system that automates and integrates electronic health record and administrative data from EDs into the Clinical Emergency Department Registry, partnering with the American College of Emergency Physicians. The research will assess the digital readiness of ED systems before developing and deploying the enhanced ED OUD data infrastructure. This research aims to guide near-real time hospital quality improvement initiatives, toward development of a web-based, near-real time dashboard that can be used in EDs across the country.