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Database processing for identification of concomitant drug frequencies in a forensic material positive for antidepressant drugs
Linköping University, Department of Medical and Health Sciences. Linköping University, Faculty of Health Sciences.
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This article presents a study conducted on data containing drug concentrations. The data was obtained from femoral venous blood samples collected at medico legal autopsies in Sweden. Cases positive for antidepressant drugs were scrutinized and divided in to two groups for 15 antidepressant drugs: B‑cases, where the cause of death was intoxication with more than one drug detected in the blood sample. C‑cases, where the cause of death was NOT intoxication and at least one drug (the antidepressant) was detected in the blood sample. This data was then processed to find frequencies of concomitant drugs taken together with the antidepressant drugs. Frequencies of the most common concomitant drugs were then compared between B-cases and C-cases for each antidepressant drug. This revealed that the drugs dextropropoxyphene, ethanol, codeine, flunitrazepam, paracetamol, propiomazine and alimemazine were signifcantly more common as concomitant drugs in B-cases (intoxications) than in C‑cases (non‑intoxications). With regards to unknown interactions the most interesting combinations were: Propiomazine with mirtazapine, venlafaxine, citalopram or fluoxetine; Paracetamol with paroxetine; Flunitrazepam with mirtazapine, venlafaxine or citalopram; Codeine with mirtazapine or sertraline. These combinations should be further investigated.

Place, publisher, year, edition, pages
2014. , 103 p.
Keyword [en]
TCA, TeCA, SSRI, SNRI, MAOI, antidepressant drug, drug interaction, intoxication
National Category
Clinical Medicine
URN: urn:nbn:se:liu:diva-107575ISRN: LiU−IMH−EX−14/01−SEOAI: diva2:725574
Subject / course
2014-06-05, 17:18 (Swedish)
Available from: 2014-10-23 Created: 2014-06-16 Last updated: 2014-10-23Bibliographically approved

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Master Thesis Niklas Björn(1789 kB)76 downloads
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