Monitoring the opioid epidemic via social media discussions

The opioid epidemic persists in the U.S., with over 80,000 deaths annually since 2021, primarily driven by synthetic opioids. Responding to this evolving epidemic requires reliable and timely information. One source of data is social media platforms. We assessed the utility of Reddit data for surveillance, covering heroin, prescription, and synthetic drugs. We built a natural language processing pipeline to identify opioid-related content and created a cohort of 1,689,039 Reddit users, each assigned to a state based on their previous Reddit activity. We measured their opioid-related posts over time and compared rates against CDC overdose and NFLIS report rates. To simulate the real-world prediction of synthetic opioid overdose rates, we added near real-time Reddit data to a model relying on CDC mortality data with a typical 6-month reporting lag. Reddit data significantly improved the prediction accuracy of overdose rates. This work suggests that social media can help monitor drug epidemics.

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Publication Details

Journal
npj Digital Medicine
Published
2025-05-15
DOI
https://doi.org/10.1038/s41746-025-01642-x
Citations
5
Primary Topic
HIV, Drug Use, Sexual Risk
Type
article
Field-Weighted Citation Impact
6.77

Funders

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article

Monitoring the opioid epidemic via social media discussions

Adam Lavertu, Keith Humphreys, Tymor Hamamsy, Mathew Vinhhoa Kiang et al.
5 citations
npj Digital Medicine
HIV, Drug Use, Sexual Risk
6.77
article

Monitoring the opioid epidemic via social media discussions

Adam Lavertu, Keith Humphreys, Tymor Hamamsy, Mathew Vinhhoa Kiang, Aadesh Salecha, Anna Lembke, Johannes C. Eichstaedt, Delaney A. Smith, Russ B. Altman
article en
5 citations

Abstract

The opioid epidemic persists in the U.S., with over 80,000 deaths annually since 2021, primarily driven by synthetic opioids. Responding to this evolving epidemic requires reliable and timely information. One source of data is social media platforms. We assessed the utility of Reddit data for surveillance, covering heroin, prescription, and synthetic drugs. We built a natural language processing pipeline to identify opioid-related content and created a cohort of 1,689,039 Reddit users, each assigned to a state based on their previous Reddit activity. We measured their opioid-related posts over time and compared rates against CDC overdose and NFLIS report rates. To simulate the real-world prediction of synthetic opioid overdose rates, we added near real-time Reddit data to a model relying on CDC mortality data with a typical 6-month reporting lag. Reddit data significantly improved the prediction accuracy of overdose rates. This work suggests that social media can help monitor drug epidemics.

npj Digital MedicineVol. 8(1)
VA Palo Alto Health Care System (US), Cardiovascular Institute of the South (US), Stanford Health Care (US), New York University (US), Stanford University (US)
National Science Foundation, U.S. Department of Veterans Affairs, National Institutes of Health
Good health and well-being
Openalex Percentile: Top 3%
HIV, Drug Use, Sexual Risk
6.77
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