The objectives of this article are: (i) to review the current approaches of Health Canada to the risk assessment of drinking water contaminants, and (ii) to examine the applicability of mixture risk assessment methods to drinking water contaminants. Health Canada's current approaches to drinking water risk assessment, like those of many regulatory agencies, focus almost solely on the effects of individual chemicals. As such, no formal method is currently used for developing mixtures guidelines or for modifying guidelines of individual chemicals to account for the possibility of the occurrence of interactions (supraadditive or infraadditive), Recent interest in the risk assessment of mixtures, at least in part, stems from concerns over the potential health risks of mixtures of very commonly occurring compounds in Canadian drinking water supplies, namely the disinfection byproducts. Before any mixtures methods can be considered for incorporation into Health Canada's current approaches to the risk assessment of drinking water contaminants, it is essential to consider the limitations and data requirements of the various mixture risk assessment methods (i.e., whole mixture approach, similar mixture approach, components-based approaches, interactions-based assessment). Among the existing mixture risk assessment methods, the components-based and interactions-based approaches could be applicable to drinking water contaminants. Specifically, among the components-based approaches, dose-addition response-addition, and the toxic equivalency factor approaches are the most applicable ones for drinking water contaminants. Until an interactions-based, mechanistic risk assessment approach (e.g., physiological model-based approach) becomes available for routine use, the components-based approaches remain the default methods for consideration. Progress in the development and validation of an interactions-based risk assessment methodology should facilitate a more realistic assessment of risk due to drinking water contaminants without increasing the levels of uncertainty in risk estimates above those associated with existing single-chemical methods. (C) 1997 Academic Press.
