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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="1.1d1" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher">Bulletin of Semashko National Research Institute of Public Health</journal-id><journal-title-group><journal-title>Bulletin of Semashko National Research Institute of Public Health</journal-title></journal-title-group><issn publication-format="print">2415-8410</issn><issn publication-format="electronic">2415-8429</issn><publisher><publisher-name>FSSBI «N.A. Semashko National Research Institute of Public Health»</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">3187</article-id><article-id pub-id-type="doi">10.69541/NRIPH.2026.02.014</article-id><article-categories><subj-group subj-group-type="heading"><subject>Научная статья</subject></subj-group></article-categories><title-group><article-title>Internet survey — a new way to study the tolerability of antidepressants</article-title></title-group><contrib-group><contrib contrib-type="author"><name name-style="western"><surname>Drobizhev</surname><given-names>Mikhail Yuryevich</given-names></name><bio></bio><email>dmyu2001@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Polskaya</surname><given-names>Elena Alexandrovna</given-names></name><bio></bio><email>polskaya@neurology.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff id="aff-1">N. A. Semashko National Research Institute of Public Health, 105064, Moscow, Russian Federation</aff><aff id="aff-2">Federal State Budgetary Scientific Institution «Scientific Center of Neurology», Moscow, Russian Federation</aff><pub-date date-type="epub" iso-8601-date="2026-06-26" publication-format="electronic"><day>26</day><month>06</month><year>2026</year></pub-date><issue>2</issue><fpage>85</fpage><lpage>89</lpage><history><pub-date date-type="received" iso-8601-date="2026-06-27"><day>27</day><month>06</month><year>2026</year></pub-date></history><permissions><copyright-statement>Copyright © 2026,</copyright-statement><copyright-year>2026</copyright-year></permissions><abstract>A survey of viewers of the @psyhfarm-tv YouTube channel (108,000 subscribers) revealed that the mechanism of action (serotonin reuptake inhibition, serotonin and norepinephrine reuptake inhibition, receptor antagonism and/or agonism) of 17 antidepressants influences patient assessments of their tolerability. This assessment worsens with the number of neurons (especially histamine and acetylcholine) affected by the antidepressant, as well as the number of mechanisms of action.</abstract><kwd-group xml:lang="en"><kwd>Internet, survey, tolerability, antidepressants, mechanism of action.</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>Интернет, опрос, переносимость, антидепрессанты, механизм действия.</kwd></kwd-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Cipriani A, Furukawa TA, Salanti G, Chaimani A, Atkinson LZ, Ogawa Y, et al., Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta-analysis. Lancet. 2018;391(10128):1357—1366. DOI: 10.1016/S0140-6736(17)32802—7</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>Al Nakhebi O, Albu-Kalinovic R, Bosun A, Neda-Stepan O, Gliga M, et al. 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