Sorell Tamara L
Brown and Caldwell, One Tech Drive, Suite 310, Andover, Massachusetts, 01810, USA.
AAPS J. 2016 Jan;18(1):92-101. doi: 10.1208/s12248-015-9818-5. Epub 2015 Sep 3.
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.
环境中活性药物成分(API)的管理具有挑战性,因为这些物质代表了一大类多样的化合物。能够去除API的先进废水处理技术往往成本高昂。由于解决环境中API所需的潜在资源,有必要建立可作为处理和排放目标的环境基准。迄今为止,已经采用了几种不同的方法来推导API的人类健康毒性值。这些方法包括使用实验数据和不确定性(安全)因子计算“安全”剂量的传统风险评估方法;从治疗性人体剂量出发并应用不确定性因子的出发剂量(POD);以及毒理学关注阈值(TTC),这是一种基于化学结构为广泛化学类别建立阈值的通用方法。为了评估这些方法的使用情况,将这些方法中的每一种都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差异很大。相关剂量远低于典型摄入量,或者由于缺乏信息而无法得出毒性阈值。对于多种物质,无法应用统一的方法来建立阈值。相反,需要针对每个目标API采用个性化方法。