Evidence map›Paper›PMID 41341633›Full record

ArticleFindings of ACL. NAACL2024

Identifying Self-Disclosures of Use, Misuse and Addiction in Community-based Social Media Posts.

Chenghao Yang, Tuhin Chakrabarty, Karli R Hochstatter, Melissa N Slavin, Nabila El-Bassel, Smaranda Muresan

Abstract read
In one paragraph

Article in Findings of ACL. NAACL, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Reasoning, Contrastive, and In-Context Strategies for Opioid Use Stage Detection on Social Media.Proceedings of the ... Workshop on Patient-Oriented Language Processing · 2026
    Article
  3. Mining Social Media for Barriers to Opioid Recovery with LLMs.Proceedings of the ... Workshop on Patient-Oriented Language Processing · 2025
    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

6 authors.

Chenghao YangUniversity of Chicago.
Tuhin ChakrabartyDepartment of Computer Science, Columbia University.
Karli R HochstatterFriends Research Institute.
Melissa N SlavinFairleigh Dickinson University.
Nabila El-BasselSchool of Social Work, Columbia University.
Smaranda MuresanDepartment of Computer Science, Columbia University.

Funding

MassHEAL - Reducing overdose deaths by 40% (2019-2023)UM1DA049412 · NIDA · BOSTON MEDICAL CENTER · PI SAMET, JEFFREY H. · 2019 to 2023
$82.9M
Administrative Supplement for K01 Adaptation of a Digital Group-Based Intervention to Reduce Drug Use and Increase Contraceptive Use among Reproductive-Aged Women Involved in Criminal Justice SystemK01DA055762 · NIDA · FAIRLEIGH DICKINSON UNIVERSITY · PI Melissa N. Slavin · 2022 to 2026
$980k
NICHD NIH HHS L50 HD106398NIDA NIH HHS K01 DA055762NIDA NIH HHS UM1 DA049412
6 · The paper itself

Abstract

In the last decade, the United States has lost more than 500,000 people from an overdose involving prescription and illicit opioids making it a national public health emergency (USDHHS, 2017). Medical practitioners require robust and timely tools that can effectively identify at-risk patients. Community-based social media platforms such as Reddit allow self-disclosure for users to discuss otherwise sensitive drug-related behaviors. We present a moderate size corpus of 2500 opioid-related posts from various subreddits labeled with six different phases of opioid use:

Identifiers

PMID41341633
PMCPMC12671919

What OpenQuestion holds

Textmetadata
LicenceTDM
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.