ArticleSubstance use & misuse2018
Opioid Discussion in the Twittersphere.
Article in Substance use & misuse, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Parents Use Online Communities to Seek Guidance on Child Substance Use, Parental Use, and Family Substance Use Challenges: A Content Analysis of Reddit Posts.Journal of studies on alcohol and drugs · 2026Article
- Multilingual analysis of public discourse on opioid and non-opioid analgesics through social media: a cross-sectional infodemiological study.BMC medical research methodology · 2026Article
- TikTok is a valuable data source for tracking the opioid crisis.NPJ digital medicine · 2026Article
- Curation and Extraction of Drug-Related Entities from Reddit Platform.Proceedings. IEEE International Conference on Healthcare Informatics · 2026Article
- Monitoring Opioid-Related Social Media Chatter Using Natural Language Processing and Large Language Models: Temporal Analysis.JMIR infodemiology · 2025Article
- Which social media platforms facilitate monitoring the opioid crisis?PLOS digital health · 2025Article
- Disclosure Patterns of Opioid Use Disorders in Perinatal Care During the Opioid Epidemic on X From 2019 to 2021: Thematic Analysis.JMIR pediatrics and parenting · 2024Article
- Predicting U.S. county opioid poisoning mortality from multi-modal social media and psychological self-report data.Scientific reports · 2023Article
- Can accurate demographic information about people who use prescription medications nonmedically be derived from Twitter?Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Opioid Misuse: A Review of the Main Issues, Challenges, and Strategies.International journal of environmental research and public health · 2022Review
- An unsupervised machine learning approach for the detection and characterization of illicit drug-dealing comments and interactions on Instagram.Substance abuse · 2022Article
- Methadone and suboxoneClinical toxicology (Philadelphia, Pa.) · 2021Article
- Analysis of associations between emotions and activities of drug users and their addiction recovery tendencies from social media posts using structural equation modeling.BMC bioinformatics · 2020Article
- Social Media as a Research Tool (SMaaRT) for Risky Behavior Analytics: Methodological Review.JMIR public health and surveillance · 2020Review
- Using Twitter to Surveil the Opioid Epidemic in North Carolina: An Exploratory Study.JMIR public health and surveillance · 2020Article
- Mining social media for prescription medication abuse monitoring: a review and proposal for a data-centric framework.Journal of the American Medical Informatics Association : JAMIA · 2020Review
- The political consequences of opioid overdoses.PloS one · 2020Article
- Machine Learning and Natural Language Processing for Geolocation-Centric Monitoring and Characterization of Opioid-Related Social Media Chatter.JAMA network open · 2019Article
- Towards Automating Location-Specific Opioid Toxicosurveillance from Twitter via Data Science Methods.Studies in health technology and informatics · 2019Article
- Thematic Analysis of Reddit Content About Buprenorphine-naloxone Using Manual Annotation and Natural Language Processing Techniques.Journal of addiction medicineArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundThe rise in opioid use and overdose has increased the importance of improving data collection methods for the purpose of targeting resources to high-need populations and responding rapidly to emerging trends.
objectiveTo determine whether Twitter data could be used to identify geographic differences in opioid-related discussion and whether opioid topics were significantly correlated with opioid overdose death rate.
methodsWe filtered approximately 10 billion tweets for keywords related to opioids between July 2009 and October 2015. The content of the messages was summarized into 50 topics generated using Latent Dirchlet Allocation, a machine learning analytic tool. The correlation between topic distribution and census region, census division, and opioid overdose death rate were quantified.
resultsWe evaluated a tweet cohort of 84,023 tweets from 72,211 unique users across the US. Unique opioid-related topics were significantly correlated with different Census Bureau divisions and with opioid overdose death rates at the state and county level. Drug-related crime, language of use, and online drug purchasing emerged as themes in various Census Bureau divisions. Drug-related crime, opioid-related news, and pop culture themes were significantly correlated with county-level opioid overdose death rates, and online drug purchasing was significantly correlated with state-level opioid overdoses.
conclusionsRegional differences in opioid-related topics reflect geographic variation in the content of Twitter discussion about opioids. Analysis of Twitter data also produced topics significantly correlated with opioid overdose death rates. Ongoing analysis of Twitter data could provide a means of identifying emerging trends related to opioids.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.