{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,26]],"date-time":"2026-10-26T16:45:46Z","timestamp":1793033146950,"version":"4.5.0"},"reference-count":38,"publisher":"National Academy of Sciences","issue":"23","license":[{"start":{"date-parts":[[2022,5,31]],"date-time":"2022-05-31T00:00:00Z","timestamp":1653955200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000038","name":"HHS | U.S. Food and Drug Administration","doi-asserted-by":"publisher","award":["U01FD006868"],"award-info":[{"award-number":["U01FD006868"]}],"id":[{"id":"10.13039\/100000038","id-type":"DOI","asserted-by":"publisher"}]},{"name":"FDA | Oak Ridge Institute for Science and Education","award":["NA"],"award-info":[{"award-number":["NA"]}]}],"content-domain":{"domain":["www.pnas.org"],"crossmark-restriction":true},"short-container-title":["Proc. Natl. Acad. Sci. U.S.A."],"published-print":{"date-parts":[[2022,6,7]]},"abstract":"<jats:title>Significance<\/jats:title>\n                  <jats:p>The opioid crisis remains one of the greatest public health challenges in the United States. The crisis is complex, with long delays and feedbacks between policy actions and their effects, which creates a risk of unintended consequences and complicates policy decision-making. We present SOURCE (Simulation of Opioid Use, Response, Consequences, and Effects), an operationally detailed national-level model of the opioid crisis, intended to enhance understanding of the crisis and guide policy decisions. Drawing on multiple data sources, SOURCE replicates how risks of opioid misuse initiation and overdose have evolved over time in response to behavioral and other changes and suggests how those risks may evolve in the future, providing a basis for projecting and analyzing potential policy impacts and solutions.<\/jats:p>","DOI":"10.1073\/pnas.2115714119","type":"journal-article","created":{"date-parts":[[2022,5,31]],"date-time":"2022-05-31T13:31:15Z","timestamp":1654003875000},"update-policy":"https:\/\/doi.org\/10.1073\/pnas.cm10313","source":"Crossref","is-referenced-by-count":79,"title":["Modeling the evolution of the US opioid crisis for national policy development"],"prefix":"10.1073","volume":"119","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5084-0911","authenticated-orcid":false,"given":"Tse Yang","family":"Lim","sequence":"first","affiliation":[{"name":"Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA 02139"},{"name":"Center for Drug 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