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The International Journal on Drug Policy|August 16, 2017
Hair testing to assess both known and unknown use of drugs amongst ecstasy users in the electronic dance music sceneJoseph J Palamar, Alberto Salomone, Enrico Gerace, et al.
Analytical and Bioanalytical Chemistry|September 26, 2012
Fast screening of 88 pharmaceutical drugs and metabolites in whole blood by ultrahigh-performance liquid chromatography-tandem mass spectrometryMarco Vincenti, Daniele Cavanna, Enrico Gerace, et al.
Analytical and Bioanalytical Chemistry|October 16, 2020
Targeted and untargeted detection of fentanyl analogues and their metabolites in hair by means of UHPLC-QTOF-HRMSAlberto Salomone, Daniele Di Corcia, Pierre Negri, et al.
Therapeutic Drug Monitoring|April 10, 2014
Hair analysis for long-term monitoring of buprenorphine intake in opiate withdrawalValentina Pirro, Ivana Fusari, Daniele Di Corcia, et al.
Biomedical Chromatography : BMC|August 18, 2020
Optimization and validation of a GC-MS quantitative method for the determination of an extended estrogenic profile in human urine: Variability intervals in a population of healthy womenEugenio Alladio, Eleonora Amante, Cristina Bozzolino, et al.
Drug and Alcohol Review|January 8, 2019
On-site identification of psychoactive drugs by portable Raman spectroscopy during drug-checking service in electronic music eventsEnrico Gerace, Fabrizio Seganti, Clemente Luciano, et al.
Drug Testing and Analysis|January 29, 2023
Metabolic study of new psychoactive substance methoxpropamine in mice by UHPLC-QTOF-HRMSMarta Massano, Enrico Gerace, Martina Borsari, et al.
Drug Testing and Analysis|October 23, 2010
Characterization of in vitro generated metabolites of the selective androgen receptor modulators S-22 and S-23 and in vivo comparison to post-administration canine urine specimensMario Thevis, Enrico Gerace, Andreas Thomas, et al.
Journal of Pharmaceutical and Biomedical Analysis|February 3, 2024
Metabolic profile of N-ethylhexedrone, N-ethylpentedrone, and 4-chloromethcathinone in urine samples by UHPLC-QTOF-HRMSMarta Massano, Melani Nuñez-Montero, Esther Papaseit, et al.
Forensic Science International. Genetics|August 22, 2024
An initial exploration of machine learning for establishing associations between genetic markers and THC levels in Cannabis sativa samplesSelena Cisana, Michele Di Nunzio, Valentina Brenzini, et al.
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