Funded Projects

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Project # Project Title Research Focus Area Research Program Administering IC Institution(s) Investigator(s) Location(s) Year Awarded
1R61DA057629-01A1
Chicago Data-driven OUD Screening, Engagement, Treatment and Planning (C-DOSETaP) System Cross-Cutting Research Translating Data 2 Action to Prevent Overdose NIDA UNIVERSITY OF ILLINOIS AT CHICAGO KARNIK, NIRANJAN Chicago, IL 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:

Health services for the treatment of opioid use disorder (OUD) are fragmented in west Chicago, an epicenter for overdose deaths. This project will develop a data-driven opioid response plan involving key partners. These include local health departments, community organizations, health care systems, and people with lived experience. The research will develop a digital screening tool for OUD that can be used in hospitals and their emergency departments. The tool will be built from machine learning of data from electronic health records, the prescription drug monitoring program, and patient-reported measures. The research will test the value of the screening tool for connecting people to treatment and preventing fatal overdoses mortality in local neighborhoods.
1R01DA057605-01
Rapid Actionable Data for Opioid Response in Kentucky (RADOR-KY) Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data NIDA UNIVERSITY OF KENTUCKY SLAVOVA, SVETLA STEFANOVA (contact); TALBERT, JEFFERY C Lexington, KY 2022
NOFO Title: HEAL Initiative: Data and Methods to Address Urgent Needs to Stem the Opioid Epidemic (R01- Clinical Trial Not Allowed)
NOFO Number: RFA-DA-22-044
Summary:

To respond quickly and effectively to the constantly changing dynamics of the opioid crisis, public health agencies and organizations need timely state and local data to make critical decisions about where to allocate resources and target responses. This project creates the Rapid Actionable Data for Opioid Response in Kentucky system, a near real-time statewide surveillance system. This resource will combine data from multiple state agencies to provide actionable and timely information to support opioid overdose prevention, harm reduction, evidence-based treatment, and recovery services. The project will also develop user-driven reporting and visualization tools (mobile and web-based apps) that provide immediate access to near real-time community or state level data, reports, and visual analytics.
1R41DA047779-01
DEVELOPMENT OF A TRACHEAL SOUND SENSOR FOR EARLY DETECTION OF HYPOVENTILATION DUE TO OPIOID OVERDOSE. Cross-Cutting Research Small Business Programs NIDA RTM Vital Signs, LLC Joseph, Jeffrey I FORT WASHINGTON, MD 2019
NOFO Title: PHS 2018-02 Omnibus Solicitation of the NIH for Small Business Technology Transfer Grant Applications (Parent STTR [R41/R42] Clinical Trial Not Allowed)
NOFO Number: PA-18-575
Summary:

One of the current critical needs in addressing the opioid crisis is the development of new overdose-reversal interventions, including wearable technologies that can detect an (impending) overdose from physiological signals to signal for help, or trigger a coupled automated injection of naloxone. This project tests the approach of monitoring respiration by detecting the sounds of breathing in the trachea. This proposal aims to develop a machine learning algorithm that could process those sounds, detect the kinds of patterns of reduced breathing that occur during an opioid overdose, and design a miniature wireless sensor that could be used to detect those sounds. Such a sensor and algorithm could be a key component to a device to detect and intervene in overdoses.
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.
1R44DA058474-01
Development of the OpiAID Strength Band Platform Cross-Cutting Research Small Business Programs NIDA OPIAID, INC. REESER, DAVID (contact); MACQUEEN, DAVID ALDERSON; WASHINGTON, WENDY DONLIN Wilmington, NC 2023
NOFO Title: Developing Regulated Therapeutic and Diagnostic Solutions for Patients Affected by Opioid and/or Stimulants use Disorders (OUD/StUD) (R43/R44 - Clinical Trial Optional)
NOFO Number: RFA-DA-23-021
Summary:

Although medications for opioid use disorder are effective and available, providers currently lack methods to monitor patients and thus inform improved dosing. This project will develop Strength Band Platform, an innovative artificial intelligence-based digital platform. The wearable device will collect patient physiological characteristics to detect relapse and withdrawal during treatment with medications for opioid use disorder in real-world settings. 
1R44DA059302-01
Development of an Opioid Sparing Therapeutic to Minimize Opioid Use Disorder and Tolerance in the Treatment of Pain Cross-Cutting Research Small Business Programs NIDA AMALGENT THERAPEUTICS, LLC MEYN, MALCOLM A Greenville, NC 2023
NOFO Title: PHS 2022-2 Omnibus Solicitation of the NIH, CDC and FDA for Small Business Innovation Research Grant Applications (Parent SBIR [R43/R44] Clinical Trial Not Allowed)
NOFO Number: PA-22-176
Summary:

Managing the risks and benefits of opioid medications can be difficult. Although prescription opioids alleviate pain for some patients, serious adverse effects include opioid use disorder. There is a critical, unmet need for new technologies that significantly minimize the opioid doses needed for effective relief from moderate to severe pain. This project will develop a novel combination treatment containing a small amount of morphine along with pramipexole, a drug approved by the U.S. Food and Drug Administration for Parkinson’s disease and restless legs syndrome that reduces the reward-seeking behavior associated with opioids. The research will conduct safety studies to enable testing in human research participants.
1R44DA058431-01
Development of an AI-Empowered Device that Utilizes Multimodal Data-Visualization to Aid in the Diagnosis, and Treatment, of OUD Cross-Cutting Research Small Business Programs NIDA WAVI COMPANY ARESE LUCINI, FRANCESCA Englewood, CO 2023
NOFO Title: Developing Regulated Therapeutic and Diagnostic Solutions for Patients Affected by Opioid and/or Stimulants use Disorders (OUD/StUD) (R43/R44 - Clinical Trial Optional)
NOFO Number: RFA-DA-23-021
Summary:

There are a lack of clinical tools to effectively identify and monitor opioid use disorder (OUD). This project will develop and test a clinically usable device that uses a range of data inputs and an artificial intelligence (AI) algorithm to help health care providers diagnose and treat OUD. The research aims to help providers choose treatment plans and monitor the timing of release from rehabilitation clinics.
1R43DA046973-01
Device to Measure Pain using Facial Expression Recognition with Patiene PAINReportitA Tablet Cross-Cutting Research Small Business Programs NIDA ENSURING, LLC CHEN, ZHANLI Seattle, WA 2019
NOFO Title: Development of a Device to Objectively Measure Pain (R43/R44)
NOFO Number: RFA-DA-18-012
Summary:

Even though pain is a nearly universal experience, objective measurements of pain remain difficult. Given that responding to the opioid crisis will require both better ways to manage pain and better ways to detect drug-seeking behavior, finding approaches to objectively measure pain is crucial. The goal of this project is to develop a product that will objectively measure pain using computer vision and machine learning technologies together with tablet-based self-reported pain data from patients for research or clinical purposes. The product will be low cost, involving one or two cameras to record the video and a computer to analyze the video in almost-real time, and will involve software that can be portable to ordinary personal computers and tablets. The project will capture facial expressions related to genuine pain and integrate it with patients’ self-reported pain data, in order to refine the product and create an objective measure of pain intensity that can be used in clinical settings and test its accuracy. This new tool has the potential to help rectify the poor pain outcomes that still plague Americans with opioid addiction, cancer, and other health conditions in many health care settings.
1R01DA057685-01
Identifying Suspected Drug Overdose Deaths in Near Real-Time Using Data Collected by Death Investigators Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data NIDA FRIENDS RESEARCH INSTITUTE, INC. HOCHSTATTER, KARLI RAE Baltimore, MD 2022
NOFO Title: HEAL Initiative: Data and Methods to Address Urgent Needs to Stem the Opioid Epidemic (R01- Clinical Trial Not Allowed)
NOFO Number: RFA-DA-22-044
Summary:

Effective responses to the highly dynamic overdose crisis require accurate and timely information about the timing and location of drug overdoses, which is currently reported mainly through death certificates that take time to become available and thus limit life-saving responses. This project will comprehensively evaluate, optimize, and assess barriers and facilitators to adoption of a surveillance tool developed by the New York City Office of the Chief Medical Examiner. The tool uses data routinely collected during death investigations to predict in near real-time whether a death was due to an unintentional drug overdose. The findings will inform drug overdose mortality surveillance efforts in other states.
1R44DA046316-01A1
A Phase 1 Randomized Single Oral Dose Four Period Cross-Over Study Investigating Omnitram Dose Proportionality and Food Effect in Normal Human Subjects Cross-Cutting Research Small Business Programs NIDA SYNTRIX BIOSYSTEMS, INC. Kahn, Stuart J Auburn, WA 2019
NOFO Title: PHS 2017-02 Omnibus Solicitation of the NIH, CDC, and FDA for Small Business Innovation Research Grant Applications (Parent SBIR [R43/R44])
NOFO Number: PA-17-302
Summary:

From 2009 to 2013, the utilization of the Schedule II opioids codeine, OxyContin, and fentanyl declined significantly, down about 14 percent for all three drugs. In sharp contrast, the use of tramadol, a Schedule IV controlled substance, increased by 32.5 percent. Schedule IV substances have lower potential for abuse and harm than Schedule II substances, and the fortuitous trend to tramadol has reduced the use of the relatively unsafe Schedule II opioids dramatically. However, tramadol is less effective in some individuals with a particular gene variant that makes them unable to metabolize it well. A new analgesic, omnitram, uses similar mechanisms to tramadol but is not as dependent on this gene. This SBIR Fast-Track project will conduct a Phase 1 clinical trial of Omnitram in normal human subjects. Success in this in-patient Phase 1 clinical trial will provide direct support for Omnitram’s continued clinical development toward FDA approval.
R44DA056280-01
Reducing Opioid Use and Adverse Effects through Proactive Precision Pain Management Following Spine Surgery Cross-Cutting Research Small Business Programs NIDA Opalgenix, Inc. PLUMP, STEVEN R (contact); SADHASIVAM, SENTHILKUMAR Carmel, IN 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-19-019
Summary:

Lumbar spinal surgery, an increasingly common surgery in adults with severe chronic back pain, is associated with acute post-surgical pain, costly postoperative opioid-related adverse effects, long hospital stays, high-risk for chronic post-surgical back pain, and persistent opioid use and dependence. Each individual responds differently to opioids based on their unique genetic and clinical factors, and the current trial-and-error approach to opioid use and prescribing promotes excessive opioid use, costly adverse outcomes, and poor surgical pain management. To address this issue, this research project will develop a preoperative diagnostic test that will use genetic and clinical information to proactively assess each person’s risk for opioid-related adverse events and chronic post-operative pain. The results will help clinicians provide personalized pain management to maximize pain relief while minimizing opioid-related safety risks, including opioid dependence.
1R44DA050339-01
Transforming smartphones into active sonar systems to detect opioid overdose Cross-Cutting Research Small Business Programs NIDA SOUND LIFE SCIENCES, INC. GILLESPY, THURMAN (contact); GOLLAKOTA, SHYAMNATH ; SUNSHINE, JACOB Seattle, WA 2019
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-19-019
Summary:

Deaths from opioid overdose are highly preventable with early detection and administration of naloxone, but overdose victims often die because they are alone or among untrained or impaired bystanders and thus do not receive timely resuscitation. There is an urgent, unmet need for a low-barrier, easily scalable solution that can identify opioid overdoses in real time and rapidly connect victims to naloxone therapy. This proposal seeks to commercialize an innovative overdose detection software product that can be downloaded on any commodity smartphone and can detect opioid- induced respiratory failure (i.e., overdose) and summon help. The software-only product, SecondChance, converts a smartphone into a short-range active sonar system capable of monitoring breathing and detecting overdose.
1R44DA058467-01
Development of a Novel Calcium Channel Therapeutic for Opioid Use Disorder Cross-Cutting Research Small Business Programs NIDA VIVREON BIOSCIENCES, LLC GREENBERG, MILTON L San Diego, CA 2023
NOFO Title: Developing Regulated Therapeutic and Diagnostic Solutions for Patients Affected by Opioid and/or Stimulants use Disorders (OUD/StUD) (R43/R44 - Clinical Trial Optional)
NOFO Number: RFA-DA-23-021
Summary:

Hospitalized patients often receive opioids for pain and sleep management, which can contribute to opioid dependence and continued use after leaving the hospital. Even when hospital stays are extended to wean people from opioids, these patients remain at increased risk for opioid use disorder and withdrawal.  This project will develop a novel small molecule medication that blocks nerve inflammation to prevent opioid dependence in hospitalized patients receiving opioids. 
2R44DA043288-02
MINDFULNESS MOBILE APP TO REDUCE ADOLESCENT SUBSTANCE USE Cross-Cutting Research Small Business Programs NIDA Oregon Research Behavioral Intervention Strategies Smith, Dana K Eugene, OR 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:

Adolescents in the juvenile justice system demonstrate very high rates of tobacco, alcohol, and other drug use (ATOD), with rates that are estimated to be three times higher than non-justice-involved youth. Substance-abusing youth are at higher risk than nonusers for mental health problems, including depression, conduct problems, personality disorders, suicidal thoughts, attempted suicide, and completed suicide, as well as detrimental effects on neural development related to substance use. This project aims to adapt and test the feasibility and efficacy of a smartphone application (app) intervention prototype that would help adolescent substance users reduce or quit their substance use. The program, entitled Rewire, is based on the primary substance use cessation components tested in previous work with juvenile justice-involved adolescents and on intervention components shown to be central to smoking cessation, and applies a mindfulness approach as the guiding framework for the intervention.
2R44DA051289-02
Wearable Sensor for Opioids Detection Based on Electrochemical Sensor Array Integrated with Bluetooth Device Cross-Cutting Research Small Business Programs NIDA EMITECH, INC. LEVITSKY, IGOR A Fall River, MA 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-19-019
Summary:

This project will develop and refine a wearable device (forearm bracelet) designed to rapidly sense and report the presence of opioids in the wearer. This research will optimize this device to provide ultra-high sensitivity, enhanced drug specificity, long-term durability, low power consumption, and cost-effective production. The findings could support a path toward commercialization of this new device.
1R44DA056251-01
Booth™ by Opio™: Developing Technology to Expand the Reach of Opioid Treatment Programs into Rural and Underserved Areas Cross-Cutting Research Small Business Programs NIDA OPIO CONNECT, INC. NORBECK, AMBER Whitefish, MT 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-19-019
Summary:

People with opioid use disorder living in rural and underserved areas often have limited access to treatment. This project will develop a robotic treatment booth that allows opioid treatment centers to dispense opioid use disorder medications, while providing medical observation via real-time telehealth services. This new technology will provide a contactless patient–provider experience and leverage the expertise to expand treatment access to additional rural and underserved areas.
1R01DA057599-01
Mining Social Media Big Data for Toxicovigilance: Studying Substance Use via Natural Language Processing and Machine Learning Methods Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data NIDA EMORY UNIVERSITY SARKER, ABEED H Atlanta, GA 2022
NOFO Title: HEAL Initiative: Data and Methods to Address Urgent Needs to Stem the Opioid Epidemic (R01- Clinical Trial Not Allowed)
NOFO Number: RFA-DA-22-044
Summary:

Monitoring and reporting substance use and substance use disorder is difficult to obtain in real-time using conventional methods. However, social media captures large amounts of data about substance use that are reported by diverse groups of people. Analysis of these data can provide population- or subpopulation-level insights, at low cost and in near real-time. This project aims to convert large amounts of social media data on substance use into actionable knowledge using advanced natural language processing and artificial intelligence approaches. The researchers will publicly release the aggregated statistics through a dedicated dashboard and provide user-friendly, open-source tools to determine trends and analyze disparities.
4R33DA057683-02
Leveraging regulatory flexibility for methadone take-home dosing to improve retention in treatment for opioid use disorder: A stepped-wedge randomized trial to facilitate clinic level changes Cross-Cutting Research Translating Data 2 Action to Prevent Overdose NIDA NEW YORK UNIVERSITY SCHOOL OF MEDICINE NEIGHBORS, CHARLES J (contact); BAO, YUHUA; RAMSEY, KELLY S New York, NY 2023
NOFO Title: HEAL Initiative: HEAL Data2Action Innovation Projects (R61/R33 Clinical Trial Optional)
NOFO Number: RFA-DA-22-051
1R44DA050375-01
A Novel Workflow to Screen for Illicit Drug Exposure in Newborns Cross-Cutting Research Small Business Programs NIDA BAEBIES, INC. KENNEDY, ADAM Durham, NC 2019
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-19-019
Summary:

Rates of neonatal abstinence syndrome (NAS) have skyrocketed during the last decade, and estimates suggest that 5% of mothers use at least one addictive drug during their pregnancy. To address this public health crisis, multiple groups—including the American College of Obstetricians and Gynecologists and the American Academy of Pediatrics—recommend universal screening of substance use in pregnancy using standardized behavioral scoring tools. Unfortunately, such tools are often biased due to subjective scoring or self-reporting errors, and fail to identify babies who did not receive proper prenatal care. This project will develop a fast and accurate NAS screening tool that pairs a simple sample preparation protocol with a high-sensitivity panel of homogeneous enzyme immunoassays recognizing five common classes of drugs: fentanyl, morphine, amphetamine/methamphetamine, cocaine, and benzodiazepines. The potential benefits of such a system include reduced length of hospitalization for unaffected newborns, accelerated time to confirmatory results (under 2 hours), faster resolution of acute withdrawal symptoms, and improved referral to family/maternal support services.
R44DA053845-01A1
Fast-track: Scalable Digital Delivery of Evidence-Based Training for Addiction Professionals to Maximize Treatment Admission and Retention Rates of Opioid Use Disorder in Affected Families Cross-Cutting Research Small Business Programs NIDA Public Health Management Corporation; We the Village, Inc MACKY, JANE Philadelphia, PA; New York, NY 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-19-019
Summary:

Effective medication-based treatment could prevent overdose deaths and help individuals recover from opioid use disorder, but only a fraction of those in need access treatment or receive a medication approved by the U.S. Food and Drug Administration. One way to improve people’s choice to seek and stay in treatment is to improve training for addiction treatment counselors beyond current methods that rely on brief online or in-person workshops. The goal of this research project is to develop and evaluate the technical feasibility and commercial viability of a scalable digital program to train behavioral addiction professionals in Community Reinforcement and Family Training (CRAFT), an evidence-based approach to increase treatment entry, using ongoing counselor training with feedback and coaching.
1R43DA050393-01
Evaluation of the therapeutic potential of exclusive antagonists of extrasynaptic NMDA receptors for treatment of opioid use disorders Cross-Cutting Research Small Business Programs NIDA NEURANO BIOSCIENCE MOLOKANOVA, ELENA Encinitas,CA 2019
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-19-019
Summary:

Novel therapies that could alleviate the severe symptoms of opioid withdrawal and/or reduce risk of relapse could help address the devastating opioid crisis. Memantine, an FDA-approved NMDA receptor antagonist, has shown encouraging results as an adjunct to existing opioid use therapies. Its therapeutic efficacy likely derives from its preferential binding to NMDA receptors located outside the synapse, since broad spectrum NMDA receptor antagonists are associated with multiple clinical side effects. This project will use a preclinical model to evaluate a nanostructured version of memantine (AuM) that physically prevents its binding to synaptic NMDA receptors but allows activation of extrasynaptic receptors with potency exceeding that of free memantine.
1R43DA058614-01
Combination Therapeutic for Chronic Opioid Use Disorder Relapse Cross-Cutting Research Small Business Programs NIDA APHIOS CORPORATION CASTOR, TREVOR P Woburn, MA 2023
NOFO Title: PHS 2022-2 Omnibus Solicitation of the NIH, CDC and FDA for Small Business Innovation Research Grant Applications (Parent SBIR [R43/R44] Clinical Trial Not Allowed)
NOFO Number: PA-22-176
Summary:

Side effects from taking the opioid receptor blocker naltrexone make it difficult for patients to adhere to treatment with this medication for opioid use disorder. Cannabidiol (CBD), a bioactive ingredient of cannabis, is not an opioid and is non-psychoactive. Previous research shows that CBD blocks opioid-seeking behaviors, craving, and withdrawal. This project will develop tiny particles containing CBD and low-dose naltrexone. The research will determine if this combined version of CBD and naltrexone helps people stay in treatment and prevents relapse without problematic side effects. 
1R41DA048689-01
BEST-OUD: Behavioral Economic Screening Tool of Opioid Use Disorder for use in clinical practice Cross-Cutting Research Small Business Programs NIDA BEAM DIAGNOSTICS, INC SNIDER, SARAH EMILY Roanoke, VA 2019
NOFO Title: PHS 2018-02 Omnibus Solicitation of the NIH for Small Business Technology Transfer Grant Applications (Parent STTR [R41/R42] Clinical Trial Not Allowed)
NOFO Number: PA-18-575
Summary:

A critical line of defense against opioid use disorder (OUD), one of the nation’s leading preventable causes of death, must be standardized screening provided by the patient’s primary care physician, psychiatrist, and/or counselor. Standardized screening methods for opioids, however, are simply inferior and no gold standards exist. This project aims to develop a validated, theoretically guided tool that provides clinicians with information beyond OUD symptoms using reinforcer pathology, a measure of severity derived from the synergy between excessive delay discounting and high behavioral economic demand. The Behavioral Economic Screening Tool (BEST-OUD) will use these combined measures in a mobile tablet application to enable clinicians to screen for OUD.
2R44DA050358-02A1
A Project to Test the Efficacy and Safety of An Innovative Treatment for Opiate Use Disorders Cross-Cutting Research Small Business Programs NIDA MINDLIGHT, LLC SCHIFFER, FREDRIC (contact); TEICHER, MARTIN H Newton, MA 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-19-019
Summary:

This project will refine an experimental non-invasive light therapy to create an effective, safe, convenient, and affordable method for treating opioid use disorder. This research will test whether a short treatment of near infra-red light administered through the skull can reduce drug use, relapse, and craving, and improve overall function in people with opioid use disorder. If effective, the findings could support a path toward commercialization of this new treatment.
1R01DA057668-01
Opioid and SUD Data Enclave (O-SUDDEn): Bringing Real-Time Data to the Opioid Crisis Cross-Cutting Research Leveraging Existing and Real-Time Opioid and Pain Management Data NIDA OHIO STATE UNIVERSITY FERNANDEZ, SOLEDAD A (contact); HUERTA, TIMOTHY R Columbus, OH 2022
NOFO Title: HEAL Initiative: Data and Methods to Address Urgent Needs to Stem the Opioid Epidemic (R01- Clinical Trial Not Allowed)
NOFO Number: RFA-DA-22-044
Summary:

The lack of timely data about drug use and overdose deaths has hindered the ability of communities and state agencies to allocate resources to regions where they are most needed. This project will develop a secure data pool that combines individual and community-level real-time data from multiple sources, including urine drug testing. These data will then be used to model the contribution of opioid, cocaine, and stimulant use to overdoses, overdose deaths, and cases of substance use disorder. This research will also use urine drug testing results and demographic/contextual data to identify populations and subpopulations at highest risk of drug use and overdose. This information will be displayed through a data platform tailored to the needs of end users (e.g., communities or agencies) and with user-friendly tools that help users make informed decisions on where resources are most urgently needed.