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Evaluation of the Inherent Toxicity Concept in Environmental Toxicology and Risk Assessment
L S McCarty1, C J Borgert2, L D Burgoon3
1L.S. McCarty Scientific Research & Consulting, Newmarket, Ontario, Canada.
Toxicity is a dose-dependent property, not an intrinsic chemical characteristic. A new risk assessment model focusing on dose-causality-response is proposed to improve toxicological risk estimation.
Area of Science:
- Toxicology
- Environmental Science
- Biochemistry
Background:
- Toxicity is an extrinsic property dependent on molecular dose, not an intrinsic chemical characteristic.
- Paracelsus's principle highlights that dose determines poisonous effects, challenging the view of toxicity as a fixed property.
- Current hazard-based approaches inadequately address variability in experimental toxicity data.
Purpose of the Study:
- To propose a shift from hazard-based to a standard-risk, case-specific risk model in toxicology.
- To emphasize the need for understanding dose-causality-response relationships for accurate risk assessment.
- To highlight the inadequacy of current knowledge for translating standard risks to specific risks.
Main Methods:
- Critically evaluating the definition of toxicity as an intrinsic versus extrinsic property.
- Proposing a standard-risk, case-specific risk model as an alternative to hazard-based approaches.
- Advocating for a focus on dose-causality-response to improve toxicity testing and interpretation.
Main Results:
- Toxicity is fundamentally a function of dose magnitude, making it an extrinsic property.
- Experimental toxicity data exhibit significant variability, undermining fixed-property assumptions.
- A standard-risk, case-specific risk model offers a logical framework for risk assessment.
Conclusions:
- Moving towards a standard-risk, case-specific risk paradigm is essential for advancing regulatory risk decision-making.
- Improving the knowledge base on toxicity causality is crucial for accurate risk assessment.
- Enhanced toxicity testing design and interpretation are needed to translate standard risks to specific risks effectively.
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