Published on in Vol 8, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24938, first published .
Drug Abuse Ontology to Harness Web-Based Data for Substance Use Epidemiology Research: Ontology Development Study

Drug Abuse Ontology to Harness Web-Based Data for Substance Use Epidemiology Research: Ontology Development Study

Drug Abuse Ontology to Harness Web-Based Data for Substance Use Epidemiology Research: Ontology Development Study

Journals

  1. Lamy F, Daniulaityte R, Dudley S. “Pressed OXY M30 Pills, Great Press, Potent, Fast Shipping!!!”: Availability of Counterfeit and Pharmaceutical Oxycodone Pills on One Major Cryptomarket. Journal of Psychoactive Drugs 2024;56(1):1 View
  2. Severson M, Onanong S, Dolezal A, Bartelt-Hunt S, Snow D, McFadden L. Analysis of Wastewater Samples to Explore Community Substance Use in the United States: Pilot Correlative and Machine Learning Study. JMIR Formative Research 2023;7:e45353 View
  3. Sanabria-Z J, Castillo-Martínez I, González-Pérez L, Ramírez-Montoya M. Complex thinking through a Transition Design-guided Ideathon: testing an AI platform on the topic of sharing economy. Frontiers in Education 2023;8 View
  4. Settle J, Smith A, Rausch P, RW R. A social media analysis of kratom use to discontinue stimulants. Journal of Addictive Diseases 2023:1 View
  5. Lokala U, Phukan O, Dastidar T, Lamy F, Daniulaityte R, Sheth A. Detecting Substance Use Disorder Using Social Media Data and the Dark Web: Time- and Knowledge-Aware Study. JMIRx Med 2024;5:e48519 View

Books/Policy Documents

  1. Rigatti M, Carreiro S, Boyer E. Artificial Intelligence in Clinical Practice. View