Evidence map›Paper›PMID 36801706›Full record

ArticleDrug and alcohol dependence2023

Trends in stigmatizing language about addiction: A longitudinal analysis of multiple public communication channels.

Nilay McLaren, Christopher M Jones, Rita Noonan, Nimi Idaikkadar, Steven A Sumner

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. From language matters to stigma-free communication in diabetes: Evolution, challenges, and next steps.Diabetic medicine : a journal of the British Diabetic Association · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Large-Scale Analysis of Online Questions Related to Opioid Use Disorder on Reddit.Proceedings of the ... International AAAI Conference on Weblogs and Social Media. International AAAI Conference on Weblogs and Social Media · 2025
    Article
  8. Review
  9. Article
  10. 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

5 authors.

Nilay McLarenColumbia University, New York City, NY, United States; National Center for Injury Prevention and Control, US Centers for Disease Control and Prevention, Atlanta, GA, United States.
Christopher M JonesNational Center for Injury Prevention and Control, US Centers for Disease Control and Prevention, Atlanta, GA, United States.
Rita NoonanNational Center for Injury Prevention and Control, US Centers for Disease Control and Prevention, Atlanta, GA, United States.
Nimi IdaikkadarNational Center for Injury Prevention and Control, US Centers for Disease Control and Prevention, Atlanta, GA, United States.
Steven A SumnerNational Center for Injury Prevention and Control, US Centers for Disease Control and Prevention, Atlanta, GA, United States. Electronic address: hvo5@cdc.gov.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

introductionStigma associated with substance use and addiction is a major barrier to overdose prevention. Although stigma reduction is a key goal of federal strategies to prevent overdose, there is limited data to assess progress made in reducing use of stigmatizing language about addiction.

methodsUsing language guidelines published by the federal National Institute on Drug Abuse (NIDA), we examined trends in use of stigmatizing terms about addiction across four popular public communication modalities: news articles, blogs, Twitter, and Reddit. We calculate percent changes in the rates of articles/posts using stigmatizing terms over a five-year period (2017-2021) by fitting a linear trendline and assess statistically significant trends using the Mann-Kendall test.

resultsThe rate of articles containing stigmatizing language decreased over the past five years for news articles (-68.2 %, p < 0.001) and blogs (-33.6 %, p < 0.001). Among social media platforms, the rate of posts using stigmatizing language increased (Twitter [43.5 %, p = 0.01]) or remained stable (Reddit [3.1 %, p = 0.29]). In absolute terms, news articles had the highest rate of articles containing stigmatizing terms over the five-year period (324.9 articles per million) compared to 132.3, 18.3, and 138.6 posts per million for blogs, Twitter, and Reddit, respectively.

conclusionsUse of stigmatizing language about addiction appears to have decreased across more traditional, longer-format communication modalities such as news articles. Additional work is needed to reduce use of stigmatizing language on social media.

Indexed as

Behavior, AddictiveDrug OverdoseSocial MediaSubstance-Related DisordersCommunicationHumansLanguageSocial StigmaAddictionNewsOnlineSocial mediaStigma

Identifiers

PMID36801706
PMCPMC10901231

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.