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了解数据三角剖分如何识别新型精神活性药物的急性毒性。

Understanding how data triangulation identifies acute toxicity of novel psychoactive drugs.

机构信息

Clinical Toxicology Service, Guy's and St Thomas' NHS Foundation Trust and King's Health Partners, London, UK.

出版信息

J Med Toxicol. 2012 Sep;8(3):300-3. doi: 10.1007/s13181-012-0241-3.

Abstract

Over the last decade, there has been an increase in the availability and use of novel psychoactive substances (also known as "legal highs"). There is limited information available on the potential acute toxicity (harms) associated with the use of these novel psychoactive substances. Gold standard evidence, such as animal studies or human clinical trials, is rarely available to users or healthcare professionals. However, it is possible to use triangulation of data on the acute toxicity from multiple sources to describe the overall pattern of toxicity associated with a novel psychoactive substance. In this review, we will describe these potential data sources, which include self-reported toxicity on internet discussion fora, data from sub-population user surveys, data from regional and national poisons information services and published case reports and case series. We will then describe how pattern of acute toxicity associated with the use of the cathinone mephedrone (4-methylmethcathinone) was established using triangulation of these different data sources.

摘要

在过去的十年中,新型精神活性物质(也称为“合法兴奋剂”)的供应和使用有所增加。关于这些新型精神活性物质使用相关的潜在急性毒性(危害)的信息有限。对于使用者或医疗保健专业人员来说,几乎没有像动物研究或人类临床试验这样的黄金标准证据。然而,有可能使用来自多个来源的急性毒性数据的三角测量来描述与新型精神活性物质相关的整体毒性模式。在这篇综述中,我们将描述这些潜在的数据来源,包括互联网讨论论坛上的自我报告毒性、来自子人群用户调查的数据、地区和国家毒物信息服务的数据以及已发表的病例报告和病例系列。然后,我们将描述如何使用这些不同数据来源的三角测量来确定使用苯丙胺类兴奋剂甲卡西酮(4-甲基甲卡西酮)的急性毒性模式。

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