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Approaches to the Development of Human Health Toxicity Values for Active Pharmaceutical Ingredients in the Environment

机译:开发环境中活性药物成分对人体健康的影响价值的方法

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摘要

Management of active pharmaceutical ingredients (API) in the environment is challenging because these substances represent a large and diverse group of compounds. Advanced wastewater treatment technologies that can remove API tend to be costly. Because of the potential resources required to address API in the environment, there is a need to establish environmental benchmarks that can serve as targets for treatment and release. To date, there are several different approaches that have been taken to derive human health toxicity values for API. These methods include traditional risk assessment approaches that calculate “safe” doses using experimental data and uncertainty (safety) factors; point of departure (POD), which starts from a therapeutic human dose and applies uncertainty factors; and threshold of toxicological concern (TTC), a generic approach that establishes threshold values across broad classes of chemicals based on chemical structure. To evaluate the use of these approaches, each of these methods was applied to three API commonly encountered in the environment: acetaminophen, caffeine, and chlorpromazine. The results indicate that the various methods of estimating toxicity values produce highly varying doses. Associated doses are well below typical intakes, or toxicity thresholds cannot be derived due to a lack of information. No uniform approach can be applied to establishing thresholds for multiple substances. Rather, an individualized approach will need to be applied to each target API.
机译:在环境中对活性药物成分(API)进行管理具有挑战性,因为这些物质代表了大量不同的化合物。可以去除API的先进废水处理技术往往很昂贵。由于解决环境中API所需的潜在资源,因此需要建立可以用作处理和释放目标的环境基准。迄今为止,已经采取了几种不同的方法来得出API的人类健康毒性值。这些方法包括传统的风险评估方法,这些方法使用实验数据和不确定性(安全性)因素来计算“安全”剂量;出发点(POD),从治疗性人类剂量开始并应用不确定因素;毒理学关注阈值(TTC),这是一种通用方法,可根据化学结构为各种化学品建立阈值。为了评估这些方法的使用,将这些方法中的每一个应用于环境中常见的三种API:对乙酰氨基酚,咖啡因和氯丙嗪。结果表明,估计毒性值的各种方法产生的剂量变化很大。相关剂量远低于典型摄入量,否则由于缺乏信息而无法得出毒性阈值。没有统一的方法可用于建立多种物质的阈值。而是需要将个性化方法应用于每个目标API。

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