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This study was designed to explore the efficacy of the use of wipe sampling to determine methamphetamine contamination associated with the clandestine manufacture of methamphetamine. Three laboratories were utilized to analyze wipe samples to investigate variability in reported methamphetamine concentration among samples spiked with known amounts of methamphetamine. Different sampling media, surfaces, and solvents were also utilized to determine potential differences in measured methamphetamine concentration due to different wipes, wipe solvents, and wipe contaminants. This study examined rate of false positive detection among blank samples and whether interference with common household substances would create a false positive detection of methamphetamine. Variability between the three labs-using liquid chromatography with mass spectrometry or gas chromatography with mass spectrometry for detection of a known concentration of methamphetamine-resulted in percent differences of 3-30%. Results from wipe sample analysis for methamphetamine, using methanol or isopropanol, showed no significant difference in methamphetamine contamination recovery. Dust and paint contamination on methamphetamine wipe samples with known methamphetamine spike amounts did not affect methamphetamine wipe sample recovery. This study confirmed that either methanol or isopropanol is an appropriate solvent for use in methamphetamine wipe sampling. Dust and paint contamination on wipe samples will not interfere with the wipe sample analysis for methamphetamine. False positive detection for methamphetamine was not observed in any of the blank wipe samples submitted for the study. Finally, this study determined that methamphetamine will not be detected in structures that are truly methamphetamine free at current laboratory limits of quantification.
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http://dx.doi.org/10.1080/15459624.2011.616820 | DOI Listing |
Pharmacol Biochem Behav
September 2025
Department of Pharmacology, Toxicology & Neuroscience, School of Graduate Studies, Louisiana State University Health Shreveport - Shreveport, Louisiana, USA; Louisiana Addiction Research Center, Louisiana State University Health Shreveport - Shreveport, Louisiana, USA; Department of Psychiatry and B
Methamphetamine is a highly addictive psychostimulant with significant neurobiological consequences, yet strain-dependent differences in its effects remain poorly understood. This study investigated behavioral and molecular differences in Swiss-Webster and C57BL/6 mice following methamphetamine exposure. Swiss-Webster mice exhibited greater behavioral sensitivity to methamphetamine compared to C57BL/6 mice, as demonstrated by lower peak doses required to elicit locomotor stimulation and conditioned place preference.
View Article and Find Full Text PDFWater Res
August 2025
Department of Civil and Environmental Engineering, Pusan National University, Busan 46241, Republic of Korea; Institute for Environment and Energy, Pusan National University, Busan 46241, Republic of Korea. Electronic address:
Wastewater-based epidemiology (WBE) is increasingly used as a complementary tool for monitoring drug use at the population level, providing anonymized, real-time estimates of community drug consumption. Site-specific applications of WBE can identify localized patterns that national or municipal surveys may overlook. This study presents the first comprehensive, site-specific assessment of illicit drug use in South Korea using WBE.
View Article and Find Full Text PDFInt J Drug Policy
September 2025
The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia. Electronic address:
Background: Drug-related deaths are a significant and growing public health concern. In Australia, meth/amphetamine is the most common stimulant drug involved in unintentional drug-related deaths. People who use meth/amphetamine often experience stigma and are negatively portrayed in the media.
View Article and Find Full Text PDFComput Methods Biomech Biomed Engin
September 2025
College of Medical Instruments, Shanghai University of Medicine and Health Sciences, Shanghai, China.
The methamphetamine use disorder (MUD) has emerged as a global public health concern. This article proposes an assessment method that combines electroencephalography (EEG)-based deep learning, visualization and time domain and frequency domain analysis, aiming to ensure accuracy while identifying corresponding brain channels and improving assessment efficiency. The collected EEG data were classified correctly using a enhanced compact convolutional neural network, namely ECCN-Net.
View Article and Find Full Text PDFSubst Use Addctn J
October 2025
Pharmacy Addictions Research and Medicine (PhARM) Program, Division of Pharmacy Practice, The University of Texas at Austin, Austin, TX, USA.
Background: People who inject drugs (PWID) may develop skin and soft tissue infections because of limited access to sterile injection supplies and education regarding safer injection techniques. The purpose of this study was to assess wound care experiences, knowledge, and practices among individuals accessing community-based services and inform service provision for PWID.
Methods: Using convenience sampling, participants of an organization that engages with PWID in Austin, Texas, were engaged in a multiphase mixed-methods study.