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

Infoveillance and Social Listening (395) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (2650) Natural Language Processing (1235) Substance Abuse (653) Machine Learning (3074) Opioid and Related Substance Misuse (236) Generative Language Models Including ChatGPT (1436)

Published on in Vol 5 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70525, first published .
Woman with pills, drugs, and emotional emojis surrounding her head, symbolizing mental health struggles.

Sentiment Analysis Using a Large Language Model–Based Approach to Detect Opioids Mixed With Other Substances Via Social Media: Method Development and Validation

Sentiment Analysis Using a Large Language Model–Based Approach to Detect Opioids Mixed With Other Substances Via Social Media: Method Development and Validation

Authors of this article:

Muhammad Ahmad1 Author Orcid Image ;   Ildar Batyrshin1 Author Orcid Image ;   Grigori Sidorov1 Author Orcid Image
Article Authors Cited by (12) Tweetations Metrics

Journals

  1. Usman M, Ahmad M, Sidorov G, Gelbukh I, Tellez R. A Large Language Model-Based Approach for Multilingual Hate Speech Detection on Social Media. Computers 2025;14(7):279 View
  2. Areia C, Taylor M, Garcia M, Hernandez J. Sentiment analysis of research attention: the Altmetric proof of concept. Frontiers in Research Metrics and Analytics 2025;10 View
  3. Sidorov G, Ahmad M, Basile P, Waqas M, Orji R, Batyrshin I. Monitoring Opioid-Related Social Media Chatter Using Natural Language Processing and Large Language Models: Temporal Analysis. JMIR Infodemiology 2025;5:e77279 View
  4. Rosebrock T, Yang Z, D'Arco L, Pathak T, Vislay-Wade R, Fowler K, Diaz-Decaro J, Kunzweiler C. Using Artificial Intelligence Methods to Evaluate the Effect of the National Cytomegalovirus Awareness Month on the Content and Sentiment of Social Media Posts: Infodemiology Study. JMIR Infodemiology 2026;6:e80922 View
  5. Aljaafari M, Sorour S. GenAI Agent for Automated Analysis and Personalization of Drug Prevention Campaigns. Scientific Journal of King Faisal University Humanities and Management Sciences 2026:68 View
  6. Nazir M, Bilal M, Shongwe S. Sentiment analysis for code-mixed low-resource languages: a systematic review of approaches, techniques, applications, challenges, and future directions. Social Network Analysis and Mining 2026;16(1) View
  7. Altunisik E, Ekmekyapar Firat Y, Cengiz E, Comruk G. From GPT-3.5 to GPT-5.2: a paired longitudinal evaluation of large language models in clinical neurology. Neurological Research 2026;48(4):522 View
  8. Valades T, Ruiz-Iniesta A, Domingo-Espiñeira J, Chart-Pascual J, Fraile-Martinez O, García-Montero C, Alvarez-Mon M, Morales I, Mora F, Quintero J, Ortega M, Perez-Araluce R, Alvarez-Mon M. Multilingual analysis of public discourse on opioid and non-opioid analgesics through social media: a cross-sectional infodemiological study. BMC Medical Research Methodology 2026;26(1) View
  9. Shasha Q. Analyzing digital consumer insights through RoBERTa LLM based sentiment analysis and topic modeling. Scientific Reports 2026;16(1) View
  10. Counts C, Spadaro A, Lakamana S, Sarker A, Wightman R, Love J, Calello D, Perrone J. Self-Reported Tianeptine Experiences on Reddit: Natural Language Processing–Assisted Qualitative Study. JMIR Infodemiology 2026;6:e86683 View

Books/Policy Documents

  1. Ahmad M, Ullah F, Habiba U, Zamir M, Batyrshin I, Gelbukh A, Sidorov G. Advances in Soft Computing. View

Conference Proceedings

  1. Carillo A, Bustillo J. 2026 Third International Conference on Innovations in Cybersecurity and Data Science (ICICDS). Sentiment Analysis of Code-Switched Taglish Telecom Feedback Using Multilingual BERT View