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

Formative Evaluation of Digital Health Interventions (2823) Substance Abuse (469) Natural Language Processing (801)

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 (8) 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
  6. Ohno Y, Aomori T, Nishiyama T, Kato R, Fujiki R, Ishikawa H, Kiyomiya K, Isawa M, Mochizuki M, Aramaki E, Ohtani H. Performance Improvement of a Natural Language Processing Tool for Extracting Patient Narratives Related to Medical States From Japanese Pharmaceutical Care Records by Increasing the Amount of Training Data: Natural Language Processing Analysis and Validation Study. JMIR Medical Informatics 2025;13:e68863 View
  7. del Pozo B, Green T, Godvin M, Ray B. The Police Opioid Seizure Temporal Risk (POSTeR) model of increased exposure to fatal overdose. International Journal of Drug Policy 2025;139:104789 View
  8. Carpenter K, Nguyen A, Smith D, Samori I, Humphreys K, Lembke A, Kiang M, Eichstaedt J, Altman R, Villanueva C. Which social media platforms facilitate monitoring the opioid crisis?. PLOS Digital Health 2025;4(4):e0000842 View