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Original Articles

The Value of Human Testing of Pesticides

Pages 1575-1581 | Published online: 03 Jun 2010
 

Abstract

Recently, the issue of using human volunteers as subjects for studying the potential toxicity of pesticides has received public attention through the media and subsequently in the regulatory arena. The debate has focused on whether such studies are ethical per se and if data from these investigations should be used for regulatory decisions. The precipitating event that prompted the current debate was the enactment of the Food Quality Protection Act (FQPA) of 1996. The FQPA, which amended the two laws governing the regulation of pesticides in the United States, requires the Environmental Protection Agency to reassess all of the nearly 10,000 tolerances (maximum allowable residues in food) and exemptions from tolerances that were in place when the law went into effect. When reassessing tolerances the U.S. Environmental Protection Agency (USEPA) reviews the data, including toxicology, available on each pesticide to determine if they are adequate to allow the Agency to make the necessary safety finding. Historically, it had been considered acceptable to conduct and use data from studies of exposure to chemicals (including pesticides) of human volunteers if these studies were conducted according to specific criteria as outlined in the Helsinki Declaration and Common Rule. Now this philosophy is being challenged and the USEPA is faced with answering the question of whether pesticides should be viewed as different, from an ethical standpoint, from other chemicals, and how such data should be used in the risk assessment process. The following paper makes an argument for the use of human volunteer testing of pesticides applying the logic that, if one wants to protect humans from the potential harm that may occur from eating foods containing pesticides, one must use the best possible data available. There can be little doubt that the best data for predicting the toxicity of a chemical in humans is to obtain and use human data, as long as it is obtained in an ethical manner.

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