Skip to main content

Complex Mixtures Methods for In Vivo Toxicity Testing (1988) / Chapter Skim
Currently Skimming:

Executive Summary
Pages 1-4

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 1...
... Mixtures that are of particular concern include chemicals generated in fire, hazardous wastes, pesticides, drinking water, fuels, and fuel combustion products. This report was prepared in response to a request from the National Institute of Environmental Health Sciences to the Board on Toxicology and Environmental Health Hazards (now the Board on Environmental Studies and Toxicology)
Read the entire page →
From page 2...
... The search for exposure-related effects in human populations must continue, and the resulting information must be integrated into the development of animal models in toxicology. One of the central questions associated with complex mixtures is related to finding the primary causative agents of specific health effects.
Read the entire page →
From page 3...
... Simple mathematical models have been used to assess the toxicity of simple mixtures, particularly binary mixtures. Those models suggest that interactions that might be observed at a high dose, such as an experimental dose, do not necessarily occur at lower doses; hence, models might play an important role in permitting the extrapolation of toxicity to lower doses.
Read the entire page →
From page 4...
... However, the committee did not thoroughly review the toxicologic data on additivity assumptions. The committee recognizes that several important related issues are not discussed in its report.
Read the entire page →

Key Terms

  • predictive value
  • chemical characterization
  • epidemiologic studies
  • causative agents
  • toxicity testing

  • unexpected results
  • simple mixtures
  • chemical substances
  • include chemicals
  • toxicologic studies

  • usually appear
  • central questions
  • single agents
  • health hazards
  • produce unexpected

  • rates usually
  • identifying causative
  • primary causative
  • provide strong
  • model strategy

  • binary mixtures
  • human population
  • avoid misclassification
  • questions related
  • specific health

  • committee noted
  • fuel combustion
  • evaluating complex
  • chemical analysis
  • testing methods


    • This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
    More information on Chapter Skim is available.