Chary Michael, Park Emily H, McKenzie Andrew, Sun Julia, Manini Alex F, Genes Nicholas
Ichan School of Medicine at Mount Sinai, New York, New York, United States of America.
Rutgers New Jersey Medical School, Newark, New Jersey, United States of America.
PLoS One. 2014 Feb 12;9(2):e82452. doi: 10.1371/journal.pone.0082452. eCollection 2014.
Detailed data on the recreational use of drugs are difficult to obtain through traditional means, especially for substances like Dextromethorphan (DXM) which are available over-the-counter for medicinal purposes. In this study, we show that information provided by commenters on YouTube is useful for uncovering the toxicologic effects of DXM. Using methods of computational linguistics, we were able to recreate many of the clinically described signs and symptoms of DXM ingestion at various doses, using information extracted from YouTube comments. Our study shows how social networks can enhance our understanding of recreational drug effects.
通过传统方式很难获得关于药物娱乐性使用的详细数据，尤其是对于像右美沙芬（DXM）这种可作为非处方药用于医疗目的的物质。在本研究中，我们表明YouTube上评论者提供的信息有助于揭示右美沙芬的毒理学效应。利用计算语言学方法，我们能够通过从YouTube评论中提取的信息，重现许多临床上所描述的不同剂量右美沙芬摄入后的体征和症状。我们的研究展示了社交网络如何能增进我们对娱乐性药物效应的理解。
