Evidence map›Paper›PMID 40040572›Full record

ArticleEuropean psychiatry : the journal of the Association of European Psychiatrists2025

Understanding social media discourse on antidepressants: unsupervised and sentiment analysis using X.

Juan Pablo Chart-Pascual, Javier Goena, Francisco Lara, María Montero Torres, Julen Marin Napal, Rodrigo Muñoz, Cielo García Montero, Oscar Fraile Martínez, Miguel Ángel Ortega, Gonzalo Salazar de Pablo and 4 more

Abstract read
In one paragraph

Article in European psychiatry : the journal of the Association of European Psychiatrists, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

14 authors.

Juan Pablo Chart-PascualPsychiatry Department, Osakidetza Basque Health Service, Araba University Hospital, Vitoria-Gasteiz, Spain.ORCID 0000-0001-5820-0484
Javier GoenaPsychiatry Department, Basurto University Hospital, Osakidetza Basque Health Service, Bilbao, Spain.ORCID 0000-0002-7786-4187
Francisco LaraDepartment of Signal Theory and Communications and Telematic Systems and Computing, School of Telecommunications Engineering, Rey Juan Carlos University, Madrid, Spain.ORCID 0000-0001-5565-8203
María Montero TorresDepartment of Medicine and Medical Specialties, University of Alcala, Alcalá de Henares, Spain.
Julen Marin NapalPsychiatry Department, Osakidetza Basque Health Service, Araba University Hospital, Vitoria-Gasteiz, Spain.ORCID 0009-0000-7155-4244
Rodrigo MuñozDepartment of Psychiatry and Mental Health, Hospital Universitario Infanta Leonor, MadridSpain.ORCID 0009-0006-9643-4680
Cielo García MonteroRamón y Cajal Institute of Sanitary Research (IRYCIS), Madrid, Spain.ORCID 0000-0001-6016-7855
Oscar Fraile MartínezRamón y Cajal Institute of Sanitary Research (IRYCIS), Madrid, Spain.ORCID 0000-0002-4494-6397
Miguel Ángel OrtegaDepartment of Medicine and Medical Specialties, University of Alcala, Alcalá de Henares, Spain.ORCID 0000-0003-2588-1708
Gonzalo Salazar de PabloDepartment of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.ORCID 0000-0002-6992-0767
Ana González PintoPsychiatry Department, Osakidetza Basque Health Service, Araba University Hospital, Vitoria-Gasteiz, Spain.
Javier QuinteroDepartment of Psychiatry and Mental Health, Hospital Universitario Infanta Leonor, MadridSpain.ORCID 0000-0002-2491-8647
Melchor Alvarez-MonDepartment of Medicine and Medical Specialties, University of Alcala, Alcalá de Henares, Spain.
Miguel Ángel Álvarez-MonCentro de Investigación en Red de Salud Mental (CIBERSAM), Madrid, Spain.ORCID 0000-0002-1987-0394

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntidepressants are essential in managing depression, including treatment-resistant cases. Public perceptions of these medications, shaped by social media platforms like X (formerly Twitter), can influence treatment adherence and outcomes. This study explores public attitudes toward antidepressants through sentiment and topic modeling analysis of tweets in English and Spanish from 2007 to 2022.

methodsTweets mentioning antidepressants approved for depression were collected. The analysis focused on selective serotonin reuptake inhibitors (SSRIs) and glutamatergic drugs. Sentiment analysis and topic modeling were conducted to identify trends, concerns, and emotions in discussions across both languages.

resultsA total of 1,448,674 tweets were analyzed (1,013,128 in English and 435,546 in Spanish). SSRIs were the most mentioned antidepressants (27.9% in English, 58.91% in Spanish). Pricing and availability were key concerns in English tweets, while Spanish tweets highlighted availability, efficacy, and sexual side effects. Glutamatergic drugs, especially esketamine, gained attention (15.61% in English, 25.23% in Spanish), evoking emotions such as fear, sadness, and anger. Temporal analysis showed significant increases in discussions, with peaks in 2012 and 2021 for SSRIs in Spanish, and exponential growth from 2018 to 2021 for glutamatergic drugs. Emotional tones varied across languages, reflecting cultural differences.

conclusionsSocial media platforms like X provide valuable insights into public perceptions of antidepressants, highlighting cultural variations in attitudes. Understanding these perceptions can help clinicians address concerns and misconceptions, fostering informed treatment decisions. The limitations of social media data call for careful interpretation, emphasizing the need for continued research to improve pharmacovigilance and public health strategies.

Indexed as

Antidepressive AgentsHealth Knowledge, Attitudes, PracticePublic OpinionSelective Serotonin Reuptake InhibitorsSocial MediaHumansAntidepressive AgentsSelective Serotonin Reuptake Inhibitorsantidepressantsesketamineselective serotonin reuptake inhibitorssentiment analysistwitter (X)

Identifiers

PMID40040572
PMCPMC12041734

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.