Bates Maia N, Murphy Caitlin, Jin Zhicheng, Burmeister Bradley, Barkholtz Heather M
Department of Chemistry, College of Letters and Science, University of Wisconsin-Madison, Madison, WI, USA.
Environmental Health Division, Wisconsin State Laboratory of Hygiene, University of Wisconsin-Madison, Madison, WI, USA.
Public Health Rep. 2025 Sep 12:333549251358671. doi: 10.1177/00333549251358671.
Nonfatal overdoses provide critical insights into the substance use crisis, offering opportunities for timely interventions and prevention. This study pilots a nonfatal overdose biosurveillance strategy to analyze the demographic, clinical, and toxicological profiles of overdose patients, aiming to identify patterns and risk factors associated with these incidents.
We assessed residual urine specimens collected from emergency department patients experiencing a nonfatal overdose at 2 hospitals in Wisconsin from August 2022 through February 2024. We collected data on patient demographic characteristics, results of clinical toxicology screening, manner of overdose, risk factors for overdose, and discharge status. Statistical analyses identified associations and odds ratios (ORs) among patient characteristics, detected drugs, and discharge status.
Of the 79 patients in the study, many had risk factors for overdose, including substance use disorder (48%), history of a mental health condition (43%), and polysubstance use (72%). Synthetic opioids had a strong positive association with a history of overdose (OR = 3.86). The presence of stimulants and antidepressants showed moderate sex-based associations, while race was linked to differing discharge status. Polysubstance use had a positive association with some drug combinations, such as narcotic analgesics and cocaine (OR = 4.00).
This study highlights the prevalence of polysubstance use and identifies key demographic and clinical factors associated with nonfatal overdoses. These findings underscore the need for comprehensive, real-time biosurveillance to inform targeted public health interventions and improve patient outcomes. Enhanced understanding of these patterns can lead to more effective strategies for overdose prevention and management, addressing a critical gap in current public health approaches.
非致命性药物过量为物质使用危机提供了关键见解,为及时干预和预防提供了机会。本研究试点了一种非致命性药物过量生物监测策略,以分析药物过量患者的人口统计学、临床和毒理学特征,旨在识别与这些事件相关的模式和风险因素。
我们评估了2022年8月至2024年2月期间从威斯康星州两家医院急诊科经历非致命性药物过量的患者收集的残余尿液样本。我们收集了患者人口统计学特征、临床毒理学筛查结果、药物过量方式、药物过量风险因素和出院状态的数据。统计分析确定了患者特征、检测到的药物和出院状态之间的关联及优势比(OR)。
在该研究的79名患者中,许多人有药物过量的风险因素,包括物质使用障碍(48%)、心理健康状况史(43%)和多药使用(72%)。合成阿片类药物与药物过量史有很强的正相关(OR = 3.86)。兴奋剂和抗抑郁药的存在显示出基于性别的中度关联,而种族与不同的出院状态有关。多药使用与一些药物组合有正相关,如麻醉性镇痛药和可卡因(OR = 4.00)。
本研究突出了多药使用的普遍性,并确定了与非致命性药物过量相关的关键人口统计学和临床因素。这些发现强调了进行全面、实时生物监测的必要性,以便为有针对性的公共卫生干预提供信息并改善患者结局。对这些模式的深入了解可导致更有效的药物过量预防和管理策略,弥补当前公共卫生方法中的一个关键差距。