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Cited by 299

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Mechanisms Underlying Postmortem Redistribution of Drugs: A Review

Open access
Pélissier-Alicot, Anne-Laure, Gaulier, Jean-Michel, Champsaur, Pierre, Marquet, Pierre·2003·Journal of Analytical Toxicology

Abstract

Postmortem drug concentrations do not necessarily reflect concentrations at the time of death, as drug levels may vary according to the sampling site and the interval between death and specimen collection. These site- and time-dependent variations are called "postmortem redistribution" (PMR). The underlying mechanisms are complex and of different types. Passive drug release from drug reservoirs such as the gastrointestinal tract, liver, lungs, and myocardium may occur immediately after death and, later on, cell autolysis and the putrefactive process participate in redistribution. There is evidence that basic lipophilic drugs with a large distribution volume are particularly susceptible to PMR. Nevertheless, this cannot explain the actual PMR of some nonbasic, nonlipophilic drugs. In addition, the persistence of drug metabolism immediately after death must be considered. Consequently, it is of great importance to analyze specimens from different sampling sites in order to detect potential PMR and avoid misinterpretation of results.

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Metadata

Authors
Pélissier-Alicot, A.-L., Gaulier, J.-M., Champsaur, P., & Marquet, P.
Venue
Journal of Analytical Toxicology
Published
2003-11-01
Volume
27
Issue
8
Pages
533-544
ISSN
  • 0146-4760 (ISSN-L)
  • 1945-2403
OpenAlex
W2146309768
Cited by
299
References
33
FWCI
6.01
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Mechanisms Underlying Postmortem Redistribution of Drugs: A Review. https://app.cochat.ai/papers/10.1093/jat/27.8.533
The paper
Pélissier-Alicot, A.-L., Gaulier, J.-M., Champsaur, P., & Marquet, P. (2003). Mechanisms Underlying Postmortem Redistribution of Drugs: A Review. Journal of Analytical Toxicology. https://doi.org/10.1093/jat/27.8.533

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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.