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

Infoveillance and Social Listening (397) Infodemiology and Infoveillance (1973) Natural Language Processing (1242) Opioid and Related Substance Misuse (236) AI Applications in Public Health (94)

Published on in Vol 6 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77783, first published .
Doctors analyze medical data on screens showing risk levels and brain scans.

Automated Risk Assessment of Opioid Use: Analysis Using Pre-Trained Transformers on Social Media Data

Automated Risk Assessment of Opioid Use: Analysis Using Pre-Trained Transformers on Social Media Data

Authors of this article:

Muhammad Ahmad1 Author Orcid Image ;   Rita Orji2 Author Orcid Image ;   Maaz Amjad3 Author Orcid Image ;   Abubakar Siddique4 Author Orcid Image ;   Nailya Kubysheva5 Author Orcid Image ;   Ildar Batyrshin1 Author Orcid Image ;   Grigori Sidorov1 Author Orcid Image
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Journals

  1. Ahmad M, Orji R, Ullah F, Batyrshin I, Sidorov G. Detecting Opioid Misuse on Social Media via Named Entity Recognition (NER) With Deep Learning. Expert Systems 2026;43(8) View