Yom-Tov Elad, Lev-Ran Shaul
Microsoft Research, Herzeliya, Israel.
Lev Hasharon Medical Center, Pardesya, Israel.
JMIR Public Health Surveill. 2017 Oct 26;3(4):e77. doi: 10.2196/publichealth.8391.
Cannabis is one of the most widely used psychoactive substances worldwide, but adverse drug reactions (ADRs) associated with its use are difficult to study because of its prohibited status in many countries.
Internet search engine queries have been used to investigate ADRs in pharmaceutical drugs. In this proof-of-concept study, we tested whether these queries can be used to detect the adverse reactions of cannabis use.
We analyzed anonymized queries from US-based users of Bing, a widely used search engine, made over a period of 6 months and compared the results with the prevalence of cannabis use as reported in the US National Survey on Drug Use in the Household (NSDUH) and with ADRs reported in the Food and Drug Administration's Adverse Drug Reporting System. Predicted prevalence of cannabis use was estimated from the fraction of people making queries about cannabis, marijuana, and 121 additional synonyms. Predicted ADRs were estimated from queries containing layperson descriptions to 195 ICD-10 symptoms list.
Our results indicated that the predicted prevalence of cannabis use at the US census regional level reaches an R of .71 NSDUH data. Queries for ADRs made by people who also searched for cannabis reveal many of the known adverse effects of cannabis (eg, cough and psychotic symptoms), as well as plausible unknown reactions (eg, pyrexia).
These results indicate that search engine queries can serve as an important tool for the study of adverse reactions of illicit drugs, which are difficult to study in other settings.
大麻是全球使用最广泛的精神活性物质之一,但由于其在许多国家被禁止,与之相关的药物不良反应(ADR)难以研究。
互联网搜索引擎查询已被用于调查药物的ADR。在这项概念验证研究中,我们测试了这些查询是否可用于检测大麻使用的不良反应。
我们分析了来自美国必应搜索引擎用户在6个月内的匿名查询,并将结果与美国全国家庭药物使用调查(NSDUH)报告的大麻使用流行率以及食品药品监督管理局不良药物报告系统中报告的ADR进行比较。根据查询大麻、大麻烟以及另外121个同义词的人群比例估算大麻使用的预测流行率。根据包含针对195种ICD-10症状列表的非专业描述的查询估算预测的ADR。
我们的结果表明,在美国人口普查区域层面,大麻使用的预测流行率与NSDUH数据的相关系数达到0.71。那些同时搜索大麻的人对ADR的查询揭示了大麻许多已知的不良反应(如咳嗽和精神病症状),以及可能未知的反应(如发热)。
这些结果表明,搜索引擎查询可作为研究非法药物不良反应的重要工具,而非法药物不良反应在其他环境中难以研究。