利用处方和毒理学数据确定非医疗用途的处方药过量使用情况。
Using prescribing and toxicology data to determine non-medical prescription drug overdose.
作者信息
Huynh Philip, Victor Grant, Ray Brad
机构信息
Center for Behavioral Health and Justice at Wayne State University, Detroit, MI, United States.
出版信息
Addict Behav Rep. 2020 Jun 8;12:100289. doi: 10.1016/j.abrep.2020.100289. eCollection 2020 Dec.
BACKGROUND
Overdose deaths have increased dramatically in the United States and are often attributed to prescription opioids. This study presents a framework for "overdose typologies", including non-medical prescription drug use, to more accurately describe drug use patterns.
METHODS
This study examined linked prescription drug monitoring program (PDMP) and toxicology data (2016-2018) from accidental overdose deaths from a large metropolitan coroner's office in the Midwest (Indianapolis, Indiana).
RESULTS
In total, 1,112 accidental overdose deaths occurred and over two-thirds (68.0%; n = 756) were coded as an illicit drug user with no prescription opioid present in the toxicology. The most infrequent categories were prescription opioid users 5.5% (n = 61).
CONCLUSION
Linked PDMP and toxicology reports are useful in identifying drug use patterns that contribute to mortality.
背景
美国的过量用药死亡人数急剧增加，且往往归因于处方阿片类药物。本研究提出了一个“过量用药类型学”框架，包括非医疗目的的处方药使用，以更准确地描述药物使用模式。
方法
本研究检查了来自中西部一个大型都市验尸官办公室（印第安纳波利斯，印第安纳州）的意外过量用药死亡案例中，处方药物监测计划（PDMP）与毒理学数据的关联情况（2016 - 2018年）。
结果
总共发生了1112例意外过量用药死亡案例，超过三分之二（68.0%；n = 756）被编码为非法药物使用者，毒理学检测中未发现处方阿片类药物。最不常见的类别是处方阿片类药物使用者，占5.5%（n = 61）。
结论
关联的PDMP和毒理学报告有助于识别导致死亡的药物使用模式。
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