加强美国毒品中心的监视,通过字面上传物质来加强毒品中心的监视
James B Leonard1, Kaitlyn Brown2, Jonathan M Colvin3
1Washington Poison Center, Seattle, WA, USA.
Clinical toxicology (Philadelphia, Pa.)
|March 12, 2026
概括
利用国家毒素数据系统®中的文字物质数据,确定了20%更多的7-hydroxymitragynine暴露,包括kratom,并允许更早地检测毒性趋势.
科学领域:
- 毒理学 毒理学 毒理学
- 公共卫生监督 公共卫生监督
- 数据科学数据科学数据科学
背景情况:
- 国家毒素数据系统® (NPDS) 对于跟踪药物和毒素暴露趋势至关重要.
- 传统的NPDS监测严重依赖于编码,这可能会延迟趋势的识别.
- 对NPDS数据库的改进对于改善实时监控能力至关重要.
研究的目的:
- 评估字面化物质数据在NPDS中识别7-hydroxymitragynine暴露的实用性.
- 为了比较 7-hydroxymitragynine 暴露的检测率和及时性,通过字面数据与产品代码进行识别.
主要方法:
- 查询了2023年1月1日至2025年7月31日期间与kratom相关的暴露的NPDS.
- 经过字面审查的物质条目,以确定7-氧基尼因暴露.
- 结果与仅通过产品代码识别的风险进行了比较.
主要成果:
- 总共有186个暴露于7-hydroxymitragynine的情况被确定.
- 产品代码确定了149个暴露,而字面数据确定了另外37个暴露.
- 字面数据确定了2024年11月的7-hydroxymitragynine暴露,比2025年2月的产品代码实施之前.
结论:
- 纳入完整的物质数据可以通过捕获以前未识别的暴露来增强NPDS监测.
- 这种方法可以更早地检测7-hydroxymitragynine暴露,改善实时趋势分析.
- 将字面数据与现有的NPDS工具相结合,可以显著加强公共卫生监测工作.
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