This paper is in the following e-collection/theme issue:

Opioid and Related Substance Misuse (147) Infodemiology and Infoveillance (1349) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (156) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Pharmacovigilance (134) Substance Abuse (419)

Published on in Vol 6, No 2 (2020): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17073, first published .
Online Conversation Monitoring to Understand the Opioid Epidemic: Epidemiological Surveillance Study

Online Conversation Monitoring to Understand the Opioid Epidemic: Epidemiological Surveillance Study

Online Conversation Monitoring to Understand the Opioid Epidemic: Epidemiological Surveillance Study

Authors of this article:

Joshua C Black1 Author Orcid Image ;   Zachary R Margolin1 Author Orcid Image ;   Richard A Olson1 Author Orcid Image ;   Richard C Dart1 Author Orcid Image
Article Authors Cited by (8) Tweetations (10) Metrics

Journals

  1. Balsamo D, Bajardi P, Salomone A, Schifanella R. Patterns of Routes of Administration and Drug Tampering for Nonmedical Opioid Consumption: Data Mining and Content Analysis of Reddit Discussions. Journal of Medical Internet Research 2021;23(1):e21212 View
  2. Black J, Margolin Z, Bau G, Olson R, Iwanicki J, Dart R. Web-Based Discussion and Illicit Street Sales of Tapentadol and Oxycodone in Australia: Epidemiological Surveillance Study. JMIR Public Health and Surveillance 2021;7(12):e29187 View
  3. Carabot F, Fraile-Martínez O, Donat-Vargas C, Santoma J, Garcia-Montero C, Pinto da Costa M, Molina-Ruiz R, Ortega M, Alvarez-Mon M, Alvarez-Mon M. Understanding Public Perceptions and Discussions on Opioids Through Twitter: Cross-Sectional Infodemiology Study. Journal of Medical Internet Research 2023;25:e50013 View
  4. Liu X, Wang F, Le Q, Ma L. Cellular and molecular basis of drug addiction: The role of neuronal ensembles in addiction. Current Opinion in Neurobiology 2023;83:102813 View
  5. Castillo-Toledo C, Fraile-Martínez O, Donat-Vargas C, Lara-Abelenda F, Ortega M, Garcia-Montero C, Mora F, Alvarez-Mon M, Quintero J, Alvarez-Mon M. Insights from the Twittersphere: a cross-sectional study of public perceptions, usage patterns, and geographical differences of tweets discussing cocaine. Frontiers in Psychiatry 2024;15 View
  6. Grabenauer M, Vikingsson S, Olson R, Lyons F, Davis L, Hayes E, Flegel R. Systematic web monitoring of drug test subversion strategies in the United States. Drug Testing and Analysis 2024 View
  7. Chiappini S, Vaccaro G, Mosca A, Miuli A, Stigliano G, Stefanelli G, Giovannetti G, Carullo R, d’Andrea G, Di Carlo F, Cavallotto C, Pettorruso M, Di Petta G, Corkery J, Guirguis A, Stair J, Martinotti G, Fazel S, Schifano F. New trends of drug abuse in custodial settings: A systematic review on the misuse of over-the-counter drugs, prescription-only-medications, and new psychoactive substances. Neuroscience & Biobehavioral Reviews 2024;162:105691 View
  8. Rao V, Valdez D, Muralidharan R, Agley J, Eddens K, Dendukuri A, Panth V, Parker M. Digital Epidemiology of Prescription Drug References on X (Formerly Twitter): Neural Network Topic Modeling and Sentiment Analysis. Journal of Medical Internet Research 2024;26:e57885 View