Headache patients suffering from recurrent attacks are a population at risk of overuse and abuse of analgesic medications. Associated with triptans, the first-line drugs recommended for the acute treatment, these patients usually take other medications such as opioids analgesics for the attack treatment, antidepressants and antiepileptics for prophylaxis treatment and benzodiazepines, non-benzodiazepine hypnotics and antipsychotics for the treatment of comorbidities. Regular and frequent use of triptans, like of any other symptomatic analgesic, can cause chronic headache and medication-overuse headache (MOH). In these circumstances, a detoxification treatment is necessary and therefore the monitoring and follow-up of the patients are crucial to the success of the treatment. In the present study, a LC tandem MS method has been developed for the identification of 50 psychoactive drugs in human hair, including triptans, benzodiazepines and metabolites, analgesics, antiepileptic, antidepressants and metabolites, a non-benzodiazepine hypnotic (z-drug),antipsychotics and metabolites. Hair samples were decontaminated, pulverized and incubated overnight in methanol; the extracts were then purified by a new and rapid QuEChERS procedure and analyzed by LC-MS/MS under gradient elution with positive ionization MRM mode. The procedure was fully validated in terms of selectivity, linearity, limit of detection and lower limit of quantitation, precision and accuracy, carry-over, matrix effect, recovery and dilution integrity. The validated procedure has been applied to 234 real hair samples collected from headache patients with known type and dosage of the taken drugs; the obtained data could be of interest to evaluate the xenobiotic concentrations in patients with known therapy.
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|Data di pubblicazione:||2016|
|Titolo:||Hair testing in clinical setting: simultaneous determination of 50 psychoactive drugs and metabolites in headache patients by LC tandem MS|
|Autori:||Licata, Manuela; Rustichelli, Cecilia; Palazzoli, Federica; Ferrari, Anna; Baraldi, Carlo; Vandelli, Daniele; Verri, Patrizia; Marchesi, Filippo; Silingardi, Enrico|
|Digital Object Identifier (DOI):||10.1016/j.jpba.2016.04.015|
|Appare nelle tipologie:||Articolo su rivista|
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