{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T03:22:59Z","timestamp":1788492179547,"version":"build-2803163510"},"reference-count":75,"publisher":"American Medical Association (AMA)","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"abstract":"\n Importance<\/jats:title>\n Tropical cyclone exposure exacerbates substance use and mental and behavioral health vulnerabilities in affected communities, potentially contributing to increases in psychoactive drug\u2013related deaths (including drug overdoses, alcohol-related deaths, and other substance-related disorders). Prior research has not evaluated this association in a national multidecadal study by cyclone strength and demographic subgroup.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n To estimate the association between county-level tropical cyclone exposure and psychoactive drug\u2013related death rates in the US.<\/jats:p>\n <\/jats:sec>\n \n Design, Setting, and Participants<\/jats:title>\n This case-control study used a bayesian conditional quasi-Poisson model to evaluate the association between county-level tropical cyclone exposure and monthly psychoactive drug\u2013related death rates between January 1, 1988, and December 31, 2019. Participants included residents of counties in the contiguous US that were exposed to at least 1 tropical cyclone during the study period. Death data were obtained from the National Center for Health Statistics. Analyses were conducted between March 27, 2024, and June 25, 2025.<\/jats:p>\n <\/jats:sec>\n \n Exposure<\/jats:title>\n Monthly tropical cyclone\u2013exposed days per county, defined by sustained wind speeds of at least 34 knots, categorized as gale to violent storms (34-63 knots) and hurricanes (\u226564 knots).<\/jats:p>\n <\/jats:sec>\n \n Main Outcomes and Measures<\/jats:title>\n The main outcome was monthly county-level psychoactive drug\u2013related death rates. Associations were estimated between each additional cyclone-exposed day and death rates in the subsequent 0 to 3 months. Analyses were stratified by cyclone strength, age, sex, and county-level social disadvantage (poverty level and percentage of racial and ethnic minority residents).<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n Among 1258 exposed counties between 1988 and 2019, 798\u202f691 psychoactive drug\u2013related deaths were recorded (29.5% females and 70.5% males; 99.8% aged \u226515 years). Median exposure was 2 tropical cyclone days (range, 1-27 days) during the study. Each additional cyclone-exposed day was associated with a 3.84% increase (95% bayesian credible interval [CrI], 1.83%-5.89%) in psychoactive drug\u2013related death rates in the month of exposure, persisting up to 3 months after exposure (2.39% [CrI, 0.41%-4.40%]). Older children and younger adults (15-44 years old) demonstrated statistically higher increases than older adults after exposure. However, increases were limited to low-poverty counties regardless of racial composition (13.05% [CrI, 6.79%-19.68%] for low presence of racial and ethnic minority residents; 6.01% [CrI, 3.02%-9.08%] for high presence) in the month of tropical cyclone exposure.<\/jats:p>\n <\/jats:sec>\n \n Conclusions and Relevance<\/jats:title>\n In this case-control study of US counties, tropical cyclone exposure was associated with increased psychoactive drug\u2013related death rates up to 3 months after exposure. These findings support the integration of substance use and mental health services into climate disaster preparedness and response planning.<\/jats:p>\n <\/jats:sec>","DOI":"10.1001\/jamanetworkopen.2025.60183","type":"journal-article","created":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T16:30:31Z","timestamp":1771605031000},"page":"e2560183","source":"Crossref","is-referenced-by-count":2,"title":["Tropical Cyclone Exposure and Psychoactive Drug\u2013Related Death Rates"],"prefix":"10.1001","volume":"9","author":[{"given":"Raenita","family":"Spriggs","sequence":"first","affiliation":[{"name":"Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Victoria D.","family":"Lynch","sequence":"additional","affiliation":[{"name":"Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanyu","family":"Lu","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lincole","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wil","family":"Lieberman-Cribbin","sequence":"additional","affiliation":[{"name":"Department of Occupational Medicine, Prevention, and Epidemiology, Northwell Health, Great Neck, New York"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"G. 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