Best strategy for Preclinical Testing of the Botanicals

What is the best strategy for preclinical testing of botanicals?

In the article concerning the best strategy for preclinical testing of the botanicals, the author gives a systematic framework concerning the useful pharmacological experiments for establishing therapeutic drugs. The authors Butterweck and Nahrstedt (2012) asserts that the importance of basing the tests on structural scientific hypotheses cannot be ignored in botanical testing. The purpose of this article is well outlined in the introduction with the aim of encouraging the researchers in the pharmacology field to adopt scientifically-affiliated experiments in preclinical testing. They recommend examining of extracts should precede testing by in vivo. Moreover, in the abstract the article provides a clear background of pharmacology and highlights the approaches such as ethnopharmacology that have been employed in developing various herbal and synthetic drugs. The influence of traditional treatment and its contribution to discovery of drugs either by chance, through experimentation or in vivo testing has been acknowledged by the modern medical practice.

The presentation of botanical research and the role plant-based drug discovery has played in the medical field in ensuring human safety has been discussed exhaustively. Ability to refer to research books such as Drug Discovery and Evaluation to evidence the rationale behind botanical research in establishing the therapeutic drugs as recorded in the bioassays makes the article relevant due to justified arguments. However, the interpretation of some of the facts in the book raise some concerns, for instance, advocating disregard of the literature assays in the context due to cumbersomeness and lack of guarantee that they will provide positive control. The authors further argue that the pharmacological effects were centrally based on unstructured experiments on plants extracts and lack practical scientific testing hence rendering the assay partly unreliable.



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