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

Formative Evaluation of Digital Health Interventions (2410) Substance Abuse (419) Natural Language Processing (692)

Published on in Vol 6, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33919, first published .
Using Named Entity Recognition to Identify Substances Used in the Self-medication of Opioid Withdrawal: Natural Language Processing Study of Reddit Data

Using Named Entity Recognition to Identify Substances Used in the Self-medication of Opioid Withdrawal: Natural Language Processing Study of Reddit Data

Using Named Entity Recognition to Identify Substances Used in the Self-medication of Opioid Withdrawal: Natural Language Processing Study of Reddit Data

Authors of this article:

Alexander Preiss1 Author Orcid Image ;   Peter Baumgartner1, 2 Author Orcid Image ;   Mark J Edlund3 Author Orcid Image ;   Georgiy V Bobashev1 Author Orcid Image
Article Authors Cited by (5) Tweetations (9) Metrics

Journals

  1. Koss J, Bohnet-Joschko S. Social Media Mining of Long-COVID Self-Medication Reported by Reddit Users: Feasibility Study to Support Drug Repurposing. JMIR Formative Research 2022;6(10):e39582 View
  2. Covvey J, Blakely M, Singh R, Peckham A, Evoy K. Pharmacist, prescriber, and drug policy expert opinions on gabapentinoid misuse. Research in Social and Administrative Pharmacy 2023;19(4):599 View
  3. Carpenter K, Altman R. Using GPT-3 to Build a Lexicon of Drugs of Abuse Synonyms for Social Media Pharmacovigilance. Biomolecules 2023;13(2):387 View
  4. Chi Y, Chen H. Investigating Substance Use via Reddit: Systematic Scoping Review. Journal of Medical Internet Research 2023;25:e48905 View
  5. Almeida A, Patton T, Conway M, Gupta A, Strathdee S, Bórquez A. The Use of Natural Language Processing Methods in Reddit to Investigate Opioid Use: Scoping Review. JMIR Infodemiology 2024;4:e51156 View