Quantitative risk assessment of tobacco products: A potentially useful component of substantial equivalence evaluations

• Published in: Regulatory toxicology and pharmacology 2018-06, Vol.95, p.371-384
• Main Authors: Marano, Kristin M., Liu, Charlene, Fuller, William, Gentry, P. Robinan
• Format: Article
• Language: English
• Subjects: QRA; Quantitative risk assessment; Regulation; Substantial equivalence; Tobacco products
• ISSN: 0273-2300; 1096-0295
• DOI: 10.1016/j.yrtph.2018.03.026

Quantitative risk assessment (QRA), a scientific, evidence-based analytical process that combines chemical and biological data to quantify the probability and potential impact of some defined risk, is used by regulatory agencies for decision-making. Thus, in tobacco product regulation, specifically in substantial equivalence (SE) evaluations, QRA can provide a useful, practical, and efficient approach to address questions that might arise regarding human health risk and potential influence on public health. In SE reporting, when differences in product characteristics may necessitate the determination of whether a new product raises different questions of public health, the results from QRA are a valuable metric. An approach for QRA in this context is discussed, which is modeled after the methodology for assessment of constituent mixtures by the US Environmental Protection Agency for environmental Superfund site assessment. Given the intent in both cases is an assessment of the public health impact resulting from the totality of exposure to a mixture of constituents, the application is appropriate. Although some uncertainties in the information incorporated may exist, relying on the most appropriate of the available data increases the confidence and decreases the uncertainty in the risk characterization using this data-driven methodology. •QRA provides an approach to address public health questions in the Substantial Equivalence (SE) of tobacco products.•An approach for QRA in SE, modeled after USEPA Superfund site assessment methods is presented.•Relying on most appropriate, available data increases confidence and decreases uncertainty in the risk characterization.