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Cited by 579

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Drug Interaction Studies: Study Design, Data Analysis, and Implications for Dosing and Labeling

Huang, S-M, Temple, R, Throckmorton, D C, Lesko, L J·2007·Clinical Pharmacology & Therapeutics

Abstract

One of the most effective ways in which regulatory agencies communicate with sponsors and guide drug development is through the issuance of guidances or guidelines. These can be issued domestically in a given region such as the United States by the Food and Drug Administration (FDA) or internationally through the International Conference on Harmonization. Currently, there are over 400 final or draft guidances that can be found through the FDA website. The development of guidances proceeds through a process known as Good Guidance Practices, which is intended to assure that there is an appropriate level of meaningful public participation in the development of guidance. In the past 10 years, clinical pharmacology guidances covering important areas have been issued, including pharmacokinetic data in patients with renal and hepatic impairment, dose-response studies, and drug-drug interactions.

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Crossref · 10.1038/sj.clpt.6100054

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Metadata

Authors
Huang, S.-M., Temple, R., Throckmorton, D. C., & Lesko, L. J.
Venue
Clinical Pharmacology & Therapeutics
Publisher
Wiley
Published
2007-02
Volume
81
Issue
2
Pages
298-304
ISSN
  • 0009-9236 (ISSN-L)
  • 1532-6535
OpenAlex
W2004281677
Cited by
579
References
4
FWCI
38.76
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Drug Interaction Studies: Study Design, Data Analysis, and Implications for Dosing and Labeling. https://app.cochat.ai/papers/10.1038/sj.clpt.6100054
The paper
Huang, S.-M., Temple, R., Throckmorton, D. C., & Lesko, L. J. (2007). Drug Interaction Studies: Study Design, Data Analysis, and Implications for Dosing and Labeling. Clinical Pharmacology & Therapeutics. https://doi.org/10.1038/sj.clpt.6100054

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.