A Quick, Simple, Conversion System to Extrapolate Safe Reference Doses from Animal Data to Human Data

Fast and easy conversion system for inferring safe reference doses from animal data to human data In discussing the concept of dose of chemical substance, safety is the greatest concern and the main research drug It must be a determinant. It is very convenient to calculate the threshold at the initial stage of the design test. Below that, there is little chance of damage. This is a way to find the calculated "safe" exposure level calculated. Traditionally, this problem can be solved using NOAEL (unobservable level adverse reaction), LOAEL (observable lowest level of harmfulness), baseline dose (BMD), baseline concentration (BMC) Reaction) has been solved by diving.

The first major problem with this approach is the lack of toxicological dose response data for all compounds except alcohol and tobacco. There is no human dose response data, animals do not have dose response data, only LD50 values ​​are published. In addition, there is no available chronic toxicity data (long term study) commonly used for such risk assessment. Therefore, we can only evaluate mortality rate and can not evaluate carcinogenicity and other long-term effects. Because the lack of such data is particularly relevant to compounds with lower acute toxicity such as cannabis, their risks may be underestimated

Risk assessment of alcohol, tobacco, cannabis and other illegal drugs using marginal exposure method

It is necessary to evaluate the possibility of reproductive toxicity. Information such as data without reproductive toxicity and databases of experimental animals or human studies with limited research design and behavior (eg fewer test animals or human subjects, inappropriate dose selection or exposure information, etc ) The study data examined only a limited number of endpoints and no adverse reproductive effects have been reported; or the database is structurally active correlated, short term or in vitro studies, pharmacokinetic data or metabolism Limited to precursor information

Human exposure to potential carcinogenic chemicals constitutes the most important application of social carcinogenicity data. In 2004, in order to study the utility of animal carcinogenicity data in the protection of public health, I conducted a survey of EPA's integrated risk information system (IRIS) chemical database. This database contains the most interesting environmental pollutants in the United States and their animals, human toxicity data in a few cases, and human toxicity assessment based on this summary data. However, there are no or only limited human exposure data for 160 IRIS chemicals, but there are animal data with assessment of toxicity to humans, EPA reports that animal carcinogenicity data is related to human carcinogenic substance I believe it is not enough to support classification. In most cases, non-carcinogenic substances (58.1%, 93/160; 95% CI: 50.4-65.5; 87)

A systematic review of animal experiments showed poor clinical and toxicological effects in humans, Andrew Knight Animal Consultant International, drandrewknight 40 @ gmail.com