Substances
Topics
- Substance Misuse Prevention
- Tobacco Smoke & Health
- Fetal Alcohol Spectrum Disorders (FASD)
- Alcohol Misuse and Alcohol Use Disorder
- Underage Drinking
- Cannabidiol Research
- Cannabinoid Research
- Cocaine
- Electronic Nicotine Delivery Systems
- Endocannabinoid System Research
- Fentanyl Misuse & Addiction
- Harm Reduction for Substance Misuse
- Methamphetamine
- Opioid Misuse & Addiction
- Opioids
- Prescription Drug Misuse
- Recovery Support Services
- Screening & Brief Intervention for Substance Misuse
- Stimulant Use and Misuse
- Substance Misuse
- Therapeutic Cannabinoid Research
- Tobacco
Emergency Department-INitiated bupreNOrphine and VAlidaTIOn Network Trial (ED-INNOVATION) (NIH HEAL Initiative)
Funded by the NIH HEAL Initiative®
This study will evaluate implementation of emergency department (ED)-initiated BUP in a large number of sites; compare extended release (XR)-BUP with sublingual (SL) BUP in ED patients with untreated OUD; and develop and validate electronic health record phenotypes of opioid-related illnesses to characterize ED visits, enhance active disease surveillance, and better identify patients eligible for study inclusion.
NCT04225598
Gail D'Onofrio, M.D., M.S.
Professor of Emergency Medicine
Neuroepidemiology Section
The research in the NES is aimed at investigating the interaction among brain pathologies and risk factors; identifying new risk factors for brain aging; developing new hypotheses about AD based on population research; and translating these factors to relevant public health prevention strategies to prevent brain changes leading to dementia.
Towards Detecting Cocaine Use Using Smartwatches in the NIDA Clinical Trials Network
This project will investigate methods to detect cocaine use from heart rate data captured by smartwatches. This approach may nicely complement self-report methods that suffer from temporal inaccuracy in reporting cocaine use in the field setting. Detection of cocaine use through smartwatches will build upon, and extend, recently developed methods to identify cocaine use from interbeat interval heart rate data obtained from electrocardiogram (ECG) sensors and physical activity from accelerometer data.
Digital Health and Health Disparities Lab
Sherine El-Toukhy, Ph.D., M.A.
Stadtman Tenure-Track Investigator
Scientific Expertise
Digital health, mobile health (mHealth), health disparities, behavior change, health communication
Tobacco Related Disparities and Control Lab
Kelvin Choi, Ph.D., M.P.H.
Senior Investigator
Tobacco Related Disparities and Control Lab
Scientific Expertise
Psychosocial factors, commercial tobacco use disparities, and public health policy