Quantification of Methamphetamine «Shabu» in Biological Matrices to Detect Prenatal Exposure: A Case Report and a Literature Review.

2018 
BACKGROUND:Methamphetamine misuse represents an increasing global public health problem. Its consumption during pregnancy becomes a relevant issue, since it has clinical consequences for the child's health and the pregnant woman. Despite this, there are only few data in the literature that include analytical results in the matrices used to detect prenatal exposure. OBJECTIVES:1) Present a case report of prenatal methamphetamine exposure with toxicological analytical confirmation in biological matrices; and 2) Perform a compilation of prenatal methamphetamine exposure studies and case reports which include toxicological analytical results. METHODS:Prenatal methamphetamine exposure was confirmed using a traditional "screen with reflex" approach. Methamphetamine and amphetamine were quantified in urine, meconium and hair samples of the neonate and mother by gas chromatography-mass spectrometry. Also, a detailed revision of the existent literature that provides information on the analytical toxicology results has been included. RESULTS:In the neonatal biological matrices test results of methamphetamine/amphetamine were: urine 2,966.43/1,638.71 ng/mL, meconium 1,450/<0.1 ng/g and hair 36.54/9.66 ng/mg. In the maternal biological matrices, test results were: urine 13,393.89/3,074.95 ng/mL and hair 11.29/3.37 ng/mg (0-3 cm), 4.68/2.58 (3-6 cm), 6.43/3.13 ng/mg (6-9 cm) and 4.72/2.49 ng/mg (9-12 cm). These results confirm a recent and continued regular substance use throughout pregnancy including delivery. CONCLUSION:The data provided will be useful for clinical purposes to improve the diagnostic and follow- up of acute and chronic intoxications. Additionally, results will be used to support interpretations in the field of forensic and legal medicine.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    0
    References
    4
    Citations
    NaN
    KQI
    []