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Background and Objectives: Even though nightlife studies with potentially intoxicated participants provide the much needed information on drug use, they face additional methodological challenges. This study aimed to explore the utility of such studies by (i) classifying nightlife attendees based on their self-reported drug use and by (ii) examining whether these classifications were meaningful when assessed against other sources of data, including oral fluid drug tests. Methods: Self-reported questionnaires, oral fluid samples and blood alcohol concentration readings were collected in a sample of 1,085 nightlife patrons recruited outside 12 popular nightclubs in Oslo, Norway, in 2014. Patrons were classified using multiple approaches, including latent class analysis. Group differences were examined by logistic regression models. Results: Participants were classified into 5 mutually exclusive groups: 2 among current non-users (“Never-users”; “Previous users”), 2 among current users (“Multiple drugs”; “Cannabis mainly”) and one “Incomplete information” group. Meaningful differences across these groups were observed. For instance, positive tests for any illicit drug were more common in “Multiple drugs” group than in “Cannabis mainly” (62.7 vs. 29.1%, adjusted OR [aOR] 3.77 [2.42–5.84]) or “Incomplete information” groups (62.7 vs. 34.4%, aOR 2.46 [1.26–4.79]). Despite their self-declared non-use, illicit substances were detected in oral fluids of “Never-users” (13.1%; 95% CI 9.9–17.2) and “Previous users” (7.9%; 95% CI 5.1–12.1). Conclusions: Despite some discrepancies between self-reports and biological tests, self-reports proved both suitable and useful in identification of substantively different drug-user typologies, potentially informing targeted policy responses. Still, methodological challenges associated with onsite studies of illicit drug use should be further explored.

In most studies, the alcohol marker phosphatidylethanol (PEth) was used to differentiate social drinking from alcohol abuse. This study investigates PEth’s potential in abstinence monitoring by performing a drinking study to assess the detection window of PEth after ingesting a defined amount of alcohol. After 2 weeks of abstinence, 16 volunteers ingested a single dose of alcohol, leading to an estimated blood alcohol concentration (BAC) of 1 g/kg. In the week after drinking, blood and urine samples were taken daily; in the second week, samples were taken every other day. PEth 16:0/18:1 and 16:0/18:2 were analyzed in blood by online-SPE-LC-MS/MS. Ethyl glucuronide and ethyl sulfate were determined in urine for abstinence monitoring. Prior to start of drinking, PEth 16:0/18:1 exceeded 30 ng/mL in blood samples of five volunteers despite the requested abstinence period. Positive PEth values resulted from drinking events prior to this abstinence period. After the start of drinking, maximum BACs were reached after 2 h with a mean of 0.80 ± 0.13 g/kg (range: 0.61–1.11 g/kg). PEth 16:0/18:1 increased within 8 h to maximum concentrations (mean: 88.8 ± 47.0 ng/mL, range: 37.2–208 ng/mL). After this event, PEth was detectable for 3 to 12 days with a mean half-life time of approximately 3 days. PEth has a potential in abstinence monitoring, since PEth could be detected for up to 12 days after a single drinking event. Further investigations are necessary, to establish cut-off levels for PEth as diagnostic marker for the determination of drinking habits like abstinence, social drinking, or risky alcohol consumption.

There are a range of wearable transdermal alcohol sensors that are available and are being developed. These devices have the potential to monitor alcohol consumption continuously over extended periods in an objective manner, overcoming some of the limitations of other alcohol measurement methods (blood, breath, and urine). The objective of our systematic review was to assess wearable transdermal alcohol sensor accuracy. A systematic search of the CINAHL, Embase, Google Scholar, MEDLINE, PsycINFO, PubMed, and Scopus bibliographic databases was conducted in February 2021. In total, 2 team members (EB and SH) independently screened studies for inclusion, extracted data, and assessed the risk of bias. The methodological quality of each study was appraised using the Mixed Methods Appraisal Tool. The primary outcome was transdermal alcohol sensor accuracy. The data were presented as a narrative synthesis. We identified and analyzed 32 studies. Study designs included laboratory, ambulatory, and mixed designs, as well as randomized controlled trials; the length of time for which the device was worn ranged from days to weeks; and the analyzed sample sizes ranged from 1 to 250. The results for transdermal alcohol concentration data from various transdermal alcohol sensors were generally found to positively correlate with breath alcohol concentration, blood alcohol concentration, and self-report (moderate to large correlations). However, there were some discrepancies between study reports; for example, WrisTAS sensitivity ranged from 24% to 85.6%, and specificity ranged from 67.5% to 92.94%. Higher malfunctions were reported with the BACtrack prototype (16%-38%) and WrisTAS (8%) than with SCRAM (2%); however, the former devices also reported a reduced time lag for peak transdermal alcohol concentration values when compared with SCRAM. It was also found that many companies were developing new models of wearable transdermal alcohol sensors. As shown, there is a lack of consistency in the studies on wearable transdermal alcohol sensor accuracy regarding study procedures and analyses of findings, thus making it difficult to draw direct comparisons between them. This needs to be considered in future research, and there needs to be an increase in studies directly comparing different transdermal alcohol sensors. There is also a lack of research investigating the accuracy of transdermal alcohol sensors as a tool for monitoring alcohol consumption in clinical populations and use over extended periods. Although there is some preliminary evidence suggesting the accuracy of these devices, this needs to be further investigated in clinical populations. PROSPERO CRD42021231027; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=231027.

Objectives. To assess cannabis and alcohol involvement among motor vehicle crash (MVC) fatalities in the United States. Methods. In this repeated cross-sectional analysis, we used data from the Fatality Analysis Reporting System from 2000 to 2018. Fatalities were cannabis-involved if an involved driver tested positive for a cannabinoid and alcohol-involved based on the highest blood alcohol concentration (BAC) of an involved driver. Multinomial mixed-effects logistic regression models assessed cannabis as a risk factor for alcohol by BAC level. Results. While trends in fatalities involving alcohol have remained stable, the percentage of fatalities involving cannabis and cannabis and alcohol increased from 9.0% in 2000 to 21.5% in 2018, and 4.8% in 2000 to 10.3% in 2018, respectively. In adjusted analyses, fatalities involving cannabis had 1.56 (95% confidence interval [CI] = 1.48, 1.65), 1.62 (95% CI = 1.52, 1.72), and 1.46 (95% CI = 1.42, 1.50) times the odds of involving BACs of 0.01% to 0.049%, 0.05% to 0.079%, and 0.08% or higher, respectively. Conclusions. The percentage of fatalities involving cannabis and coinvolving cannabis and alcohol doubled from 2000 to 2018, and cannabis was associated with alcohol coinvolvement. Further research is warranted to understand cannabis- and alcohol-involved MVC fatalities. (Am J Public Health. 2021;111(11):1976–1985. https://doi.org/10.2105/AJPH.2021.306466 )

Objectives. To estimate the alcohol-attributable fraction (AAF) for suicide in the United States. Methods. Using restricted-access data from the National Violent Death Reporting System for 2021, we estimated the sex-specific AAF for suicide, among those 15 years of age and older, by sociodemographic characteristics and suicide means. An alcohol-attributable suicide was defined as that for which the decedent had a blood alcohol concentration of 0.10 grams per deciliter or higher. Results. In 2021, the AAF for suicide for males (20.2%) was significantly higher than that for females (17.8%; P < .001). The AAF for suicide was higher for both males and females who used a firearm as the means of suicide (23.4% and 22.8%, respectively) compared with their counterparts who used other means (16.5% and 15.9%, respectively). Conclusions. Despite some variation, AAFs for suicide were consistently high, with about 1 in 5 suicides being attributable to alcohol use. Therefore, suicide prevention initiatives in the United States should also target excessive alcohol use. ( Am J Public Health. 2025;115(3):364–368. https://doi.org/10.2105/AJPH.2024.307910 )

The alcohol hangover is a combination of negative mental and physical symptoms which can be experienced after a single episode of alcohol consumption, starting when blood alcohol concentration (BAC) approaches zero. A popular theory suggests that dehydration is the primary cause of alcohol hangover and that the consumption of water could alleviate hangover symptoms. Here, the current evidence on the relationship between hangover severity, thirst, and water consumption is summarized. The positive correlations of the amount of water consumed with both hangover severity and thirst suggest that both dehydration and the hangover are co-occurring after-effects of alcohol consumption. While hangovers were typically relatively enduring, dehydration effects were usually mild and short-lasting. Survey data revealed that water consumption during or directly after alcohol consumption had only a modest effect in preventing next-day hangover. Also, the amount of water consumed during hangover was not related to changes of hangover severity and thirst. Thus, water consumption was not effective to alleviate the alcohol hangover. Taken together, these data suggests that alcohol hangover and dehydration are two co-occurring but independent consequences of alcohol consumption. •A popular theory suggests that dehydration is the primary cause of alcohol hangover. ∗ If correct, the consumption of water could alleviate hangover symptoms.•This review concludes that hangover and dehydration are two co-occurring but independent consequences of alcohol consumption.

Wrist-worn transdermal alcohol concentration (TAC) sensors have the potential to provide detailed information about day-level features of alcohol use but have rarely been used in field-based research or in early adulthood (i.e., 26–40 years) alcohol users. This pilot study assessed the acceptability, user burden, and validity of using the BACtrack Skyn across 28 days in individuals' natural settings. Adults aged 26–37 (N = 11, Mage = 31.2, 55% female, 73% non-Hispanic white) participated in a study including retrospective surveys, a 28-day field protocol wearing Skyn and SCRAM sensors and completing ecological momentary assessments (EMA) of alcohol use and duration (daily morning reports and participant-initiated start/stop drinking EMAs), and follow-up interviews. Day-level features of alcohol use extracted from self-reports and/or sensors included drinks consumed, estimated Blood Alcohol Concentration (eBAC), drinking duration, peak TAC, area under the curve (AUC), rise rate, and fall rate. Repeated-measures correlations (rrm) tested within-person associations between day-level features of alcohol use from the Skyn versus self-report or the SCRAM. Participants preferred wearing the Skyn over the SCRAM [t (10) = −6.79, p < .001, d = 2.74]. Skyn data were available for 5614 (74.2%) out of 7566 h, with 20.7% of data lost due to syncing/charging issues and 5.1% lost due to device removal. Skyn agreement for detecting drinking days was 55.5% and 70.3% when compared to self-report and the SCRAM, respectively. Correlations for drinking intensity between self-report and the Skyn were 0.35 for peak TAC, 0.52 for AUC, and 0.30 for eBAC, which were smaller than correlations between self-report and SCRAM, at 0.78 for peak TAC, 0.79 for AUC, and 0.61 for eBAC. Correlations for drinking duration were larger when comparing self-report to the Skyn (rrm = 0.36) versus comparing self-report to the SCRAM (rrm = 0.31). The Skyn showed moderate-to-large, significant correlations with the SCRAM for peak TAC (rrm = 0.54), AUC (rrm = 0.80), and drinking duration (rrm = 0.63). Our findings support the acceptability and validity of using the Skyn for assessing alcohol use across an extended time frame (i.e., 28 days) in individuals’ natural settings, and for providing useful information about day-level features of alcohol use. •Individuals reported high acceptability for using the Skyn across 28 days.•Participants preferred using the Skyn versus the SCRAM in natural settings.•The Skyn showed similar probability to the SCRAM for detecting drinking days.•Skyn day-level alcohol use features correlated with self-report and the SCRAM.•The Skyn provided useful information about day-level features of alcohol use.

Acute alcohol intoxication impairs cognitive and psychomotor abilities leading to various public health hazards such as road traffic accidents and alcohol-related violence. Intoxicated individuals are usually identified by measuring their blood alcohol concentration (BAC) using breathalyzers that are expensive and labor intensive. In this paper, we developed the Audio-based Deep Learning Algorithm to Identify Alcohol Inebriation (ADLAIA) that can instantly predict an individual's intoxication status based on a 12-s recording of their speech. ADLAIA was trained on a publicly available German Alcohol Language Corpus that comprises a total of 12,360 audio clips of inebriated and sober speakers (total of 162, aged 21–64, 47.7% female). ADLAIA's performance was determined by computing the unweighted average recall (UAR) and accuracy of inebriation prediction. ADLAIA was able to identify inebriated speakers – with a BAC of 0.05% or higher – with an UAR of 68.09% and accuracy of 67.67%. ADLAIA had a higher performance (UAR of 75.7%) in identifying intoxicated speakers (BAC > 0.12%). Being able to identify intoxicated individuals solely based on their speech, ADLAIA could be integrated into mobile applications and used in environments (such as bars, sports stadiums) to get instantaneous results about inebriation status of individuals. •ADLAIA can outperform humans in identifying alcohol-inebriated individuals based solely on 12 seconds of their speech.•ADLAIA could be integrated into mobile applications and used as a preliminary tool for identifying alcohol-inebriation.•ADLAIA was able to identify inebriated speakers – with BAC of 0.05% or higher – with an UAR of 68.09% and accuracy of 67.67%.

Phosphatidylethanol (PEth) is an alcohol derivative that has been employed as a blood-based biomarker for regular alcohol use. This study investigates the utility of phosphatidylethanol (PEth) as a biomarker for assessing alcohol consumption in post-mortem brain tissue. Using samples from the New South Wales Brain Tissue Resource Centre, we analysed PEth(16:0/18:1) levels in the cerebellum and meninges of individuals with varying histories of alcohol use, including those diagnosed with alcohol use disorder (AUD) and controls. Our findings demonstrate a significant correlation between PEth levels and blood alcohol content (BAC) at the time of death, supporting the biomarker's sensitivity to recent alcohol intake. Furthermore, this study explores the potential of PEth levels in differentiating AUD cases from controls, taking into consideration the complexities of diagnosing AUD post-mortem. The study also examined the relationship between PEth levels and liver pathology, identifying a link with the severity of liver damage. These results underscore the value of PEth as a reliable indicator of alcohol consumption and its potential contributions to post-mortem diagnostics and consequently, research into alcohol-related brain damage. •Phosphatidylethanol is a derivative of alcohol metabolism.•The assay is used to indicate recent alcohol drinking and largely from blood.•We show that phosphatidylethanol can be similarly assayed in post-mortem brain tissue.•This allows more accurate and informative research on alcohol-related brain damage.

Sex differences in chronic pain and alcohol abuse are not well understood. The development of rodent models is imperative for investigating the underlying changes behind these pathological states. In the present study, we investigated whether hind paw treatment with the inflammatory agent Complete Freund's Adjuvant (CFA) could generate hyperalgesia and alter alcohol consumption in male and female C57BL/6J mice. CFA treatment led to greater nociceptive sensitivity for both sexes in the Hargreaves test, and increased alcohol drinking for males in a continuous-access two-bottle choice (CA2BC) paradigm. Regardless of treatment, female mice exhibited greater alcohol drinking than males. Following a 2-h terminal drinking session, CFA treatment failed to produce changes in alcohol drinking, blood ethanol concentration (BEC), and plasma corticosterone (CORT) for both sexes. Two-hour alcohol consumption and CORT was higher in females than males, regardless of CFA treatment. Taken together, these findings have established that male mice are more susceptible to escalations in alcohol drinking when undergoing pain, despite higher levels of total alcohol drinking and CORT in females. Furthermore, the exposure of CFA-treated C57BL/6J mice to the CA2BC drinking paradigm has proven to be a useful model for studying the relationship between chronic pain and alcohol abuse. Future applications of the CFA/CA2BC model should incorporate manipulations of stress signaling and other related biological systems to improve our mechanistic understanding of pain and alcohol interactions. •CFA treatment increases alcohol drinking for male, but not female mice in a continuous-access two-bottle choice (CA2BC) paradigm.•Female mice exhibit higher levels of alcohol drinking and CORT than males, regardless of CFA treatment.•CFA treatment combined with CA2BC in C57BL/6J mice is a useful model for studying the relationship between chronic inflammatory pain and alcohol use.