Evidence map›Paper›PMID 30815129›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2018

Social Media Based Analysis of Opioid Epidemic Using Reddit.

Sheetal Pandrekar, Xin Chen, Gaurav Gopalkrishna, Avi Srivastava, Mary Saltz, Joel Saltz, Fusheng Wang

Open access · greenAbstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
6.8field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
  2. Curation and Extraction of Drug-Related Entities from Reddit Platform.Proceedings. IEEE International Conference on Healthcare Informatics · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Mining Social Media for Barriers to Opioid Recovery with LLMs.Proceedings of the ... Workshop on Patient-Oriented Language Processing · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Investigating Substance Use via Reddit: Systematic Scoping Review.Journal of medical Internet research · 2023
    Article
  16. Self-reported Xylazine Experiences: A Mixed Methods Study of Reddit Subscribers.medRxiv : the preprint server for health sciences · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Sheetal PandrekarStony Brook University, Stony Brook, NY.
Xin ChenStony Brook University, Stony Brook, NY.
Gaurav GopalkrishnaStony Brook University, Stony Brook, NY.
Avi SrivastavaStony Brook University, Stony Brook, NY.
Mary SaltzStony Brook University, Stony Brook, NY.
Joel SaltzStony Brook University, Stony Brook, NY.
Fusheng WangStony Brook University, Stony Brook, NY.
Stony Brook University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Opioid-abuse epidemic in the United States has escalated to national attention due to the dramatic increase of opioid overdose deaths. Analyzing opioid-related social media has the potential to reveal patterns of opioid abuse at a national scale, understand opinions of the public, and provide insights to support prevention and treatment. Reddit is a community based social media with more reliable content curated by the community through voting. In this study, we collected and analyzed all opioid related discussions from January 2014 to October 2017, which contains 51,537 posts by 16,162 unique users. We analyzed the data to understand the psychological categories of the posts, and performed topic modeling to reveal the major topics of interest. We also characterized the extent of social support received from comments and scores by each post. Last, we analyzed statistically significant difference in the posts between anonymous and non-anonymous users.

Indexed as

Analgesics, OpioidData AnalysisSocial MediaHumansOpioid-Related DisordersSocial SupportUnited StatesAnalgesics, Opioid

Identifiers

PMID30815129
PMCPMC6371364
OpenAlexW2941935866

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.