This paper is in the following e-collection/theme issue:

Depression and Mood Disorders; Suicide Prevention (1363) Pharmacovigilance (134) Infodemiology and Infoveillance (1349) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041)

Published on in Vol 8, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26589, first published .
Understanding Side Effects of Antidepressants: Large-scale Longitudinal Study on Social Media Data

Understanding Side Effects of Antidepressants: Large-scale Longitudinal Study on Social Media Data

Understanding Side Effects of Antidepressants: Large-scale Longitudinal Study on Social Media Data

Authors of this article:

Koustuv Saha1 Author Orcid Image ;   John Torous2 Author Orcid Image ;   Emre Kiciman3 Author Orcid Image ;   Munmun De Choudhury1 Author Orcid Image
Article Authors Cited by (25) Tweetations (5) Metrics

Journals

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  10. Alvarez-Mon M, Fernandez-Lazaro C, Ortega M, Vidal C, Molina-Ruiz R, Alvarez-Mon M, Martínez-González M. Analyzing Psychotherapy on Twitter: An 11-Year Analysis of Tweets From Major U.S. Media Outlets. Frontiers in Psychiatry 2022;13 View
  11. Forman-Hoffman V, Kvedar J, Ranta K. Potential Benefits of Remote Continuous Care for Depression. International Journal of Digital Health 2021;1(1):15 View
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  13. Khalifah W, Abu-Yusef M, Abed-Elhadi A, Barq A, Yassen M, Hanani A, Abu Hassan A, Abuawad M, Damiri B. Exams-related stress and the pattern of substance use and misuse among Palestinian medical and health sciences students. Discover Psychology 2023;3(1) View
  14. Agbo C, Chima U, Nwachuya C, Enang N, Okoye C, Mbaji S, Uzokwe N, Ngige A, Iwuchukwu O, Okoloekwe A. The psychological impact of non-responsiveness to antidepressants on patients with depression and the role of pharmacogenomics-based drug therapy. American Journal of Pharmacotherapy and Pharmaceutical Sciences 2023;2:14 View
  15. Carabot F, Donat-Vargas C, Santoma-Vilaclara J, Ortega M, García-Montero C, Fraile-Martínez O, Zaragoza C, Monserrat J, Alvarez-Mon M, Alvarez-Mon M. Exploring Perceptions About Paracetamol, Tramadol, and Codeine on Twitter Using Machine Learning: Quantitative and Qualitative Observational Study. Journal of Medical Internet Research 2023;25:e45660 View
  16. Purebl G, Schnitzspahn K, Zsák É. Overcoming treatment gaps in the management of depression with non-pharmacological adjunctive strategies. Frontiers in Psychiatry 2023;14 View
  17. Yuan Y, Kasson E, Taylor J, Cavazos-Rehg P, De Choudhury M, Aledavood T. Examining the Gateway Hypothesis and Mapping Substance Use Pathways on Social Media: Machine Learning Approach. JMIR Formative Research 2024;8:e54433 View
  18. Mangalik S, Eichstaedt J, Giorgi S, Mun J, Ahmed F, Gill G, V. Ganesan A, Subrahmanya S, Soni N, Clouston S, Schwartz H. Robust language-based mental health assessments in time and space through social media. npj Digital Medicine 2024;7(1) View
  19. Tomczak T, Rogalski J. Risk factors of the depressive and anxiety disorders development among patients with Adolescent Idiopathic Scoliosis and possible therapeutic interventions. Current Problems of Psychiatry 2024;25:92 View
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  21. Silahtaroğlu G, Dinçer H, Yüksel S, Keskin A, Yılmaztürk N, Kılıç A. Identifying the most critical side effects of antidepressant drugs: a new model proposal with quantum spherical fuzzy M-SWARA and DEMATEL techniques. BMC Medical Informatics and Decision Making 2024;24(1) View
  22. Pannu A, Goyal R. Evaluation of Anti-Depressant Potential of Standardized Hydroethanolic Extract of S. barbata D. Don Using Chronic Unpredictable Mild Stress Model. Current Nutraceuticals 2024;05 View
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