Driving under the influence of cocaine: Quantitative determination of basic drugs in oral fluid obtained during roadside controls and a controlled study with cocaine users

2018 ◽  
Vol 10 (8) ◽  
pp. 1285-1296 ◽  
Author(s):  
Vincent Di Fazio ◽  
Sarah M.R. Wille ◽  
Stefan W. Toennes ◽  
Janelle H.P. van Wel ◽  
Johannes G. Ramaekers ◽  
...  
2007 ◽  
Vol 53 (4) ◽  
pp. 702-710 ◽  
Author(s):  
Frank T Peters ◽  
Nele Samyn ◽  
Thomas Kraemer ◽  
Wim J Riedel ◽  
Hans H Maurer

Abstract Background: Enantioselective analysis of amphetamine (AM), methamphetamine (MA), 3,4-methylenedioxyamphetamine (MDA), 3,4-methylenedioxymethamphetamine (MDMA), and 3,4-methylenedioxyethylamphetamine (MDEA) helps interpret toxicological results. Methods have been described for various matrices, but so far not for oral fluid, a matrix of increasing importance in testing for drugs of abuse, especially in the context of driving under the influence of drugs (DUID). Methods: After dilution with 200 μL carbonate buffer (pH 9), oral fluid samples (10–50 μL) were derivatized with S-heptafluorobutyrylprolyl chloride. The resulting diastereomers were extracted into 100 μL of cyclohexane, separated by gas chromatography (HP-5MS column), and detected by mass spectrometry in the negative-ion chemical ionization mode (GC-NICI-MS). The method was validated and applied to samples from a controlled study with MDMA and from authentic DUID cases. Results: The derivatized AM, MA, MDA, MDMA, and MDEA enantiomers were well separated from each other. The method was linear from 5–250 μg/L per enantiomer of MDA and from 25–1250 μg/L per enantiomer of AM, MA, MDMA, and MDEA. With the exception of MDEA, analytical recoveries, repeatability, and intermediate precision were within required limits. The analyte concentrations and enantiomer ratios in the application samples correlated only weakly with corresponding published plasma data. Conclusions: This sensitive, reliable, and fast GC-NICI-MS assay enantioselectively measures AM, MA, MDA, and MDMA in oral fluid samples. Prediction of plasma concentrations and enantiomer ratios from respective oral fluid data is not possible.


1999 ◽  
Vol 96 (9/10) ◽  
pp. 1608-1615
Author(s):  
T. E. Malliavin ◽  
H. Desvaux ◽  
M. A. Delsuc

Planta Medica ◽  
2011 ◽  
Vol 77 (12) ◽  
Author(s):  
M Koşar ◽  
F Göger ◽  
N Kırımer ◽  
KHC Başer

Planta Medica ◽  
2014 ◽  
Vol 80 (16) ◽  
Author(s):  
FHA Fernandes ◽  
RSA Batista ◽  
G Véras ◽  
FS Souza ◽  
ACD Medeiros

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