Trends in the use of psychoactive substances by truck drivers in São Paulo State, Brazil: A time-series cross sectional roadside survey (2009-2016)

Reliability of roadside oral fluid testing devices for ∆9-tetrahydrocannabinol (∆9-THC) detection

Driving under the influence of cannabis (DUIC) is increasing worldwide, and cannabis is the most prevalent drug after alcohol in impaired driving cases, emphasizing the need for a reliable traffic enforcement strategy. ∆9-tetrahydrocannabinol (THC) detection in oral fluid has great potential for identifying recent cannabis use; however, additional data are needed on the sensitivities, specificities, and efficiencies of different oral fluid devices for detecting cannabinoids at the roadside by police during routine traffic safety enforcement efforts. At the roadside, 8945 oral fluid THC screening tests were performed with four devices: AquilaScan®, Dräger DrugTest®, WipeAlyser Reader®, and Druglizer®. A total of 530 samples screened positive for THC (5.9%) and were analyzed by liquid chromatography-tandem mass spectrometry at multiple cutoff concentrations (2 ng/mL, 10 ng/mL, and manufacturers' recommended device cutoffs) to investigate device performance. Results varied substantially, with sensitivities of 0%-96.8%, specificities of 89.8%-98.5%, and efficiencies of 84.3%-97.8%. The Dräger DrugTest® outperformed the other devices with a 96.8% sensitivity, 97.1% specificity, and 97.0% efficiency at a 5-ng/mL LC-MS/MS confirmation cutoff. The WipeAlyser Reader® had good performance with a 91.4% sensitivity, 97.2% specificity, and 96.4% efficiency. AquilaScan® and Druglizer® had unacceptable performance for cannabinoid detection, highlighted by sensitivity <13%. The choice of roadside oral fluid testing device must offer good analytical performance for cannabinoids because of its high prevalence of use and impact on road safety.

Cannabis use, risk behaviours and harms in Brazil: A comprehensive review of available data indicators

ISSUES

Cannabis use and related health/social outcome indicator data for Brazil-where non-medical cannabis is generally illegal-are limited.

APPROACH

Towards a comprehensive overview of relevant indicators, we searched primary databases by combining MeSH-index terms related to cannabis, geographic location and subtopic terms (e.g., use, health, mortality) focusing on cannabis use and key outcome indicators in Brazil since 2010. In addition, relevant 'grey literature' (e.g., survey reports) was identified. Key indicator data were mainly narratively summarised.

KEY FINDINGS

Overall, cannabis use has increased somewhat since pre-2010, with (past-year) use rates measured at 2-3% for general population adults, yet 5% or higher among youth and/or (e.g., post-secondary) student populations. For key risk behaviours, the presence of tetrahydrocannabinol-positivity among motor-vehicle drivers has been measured at <2%. While the prevalence of cannabis use disorder appears to have decreased, the relative proportion of treatment provided for cannabis-related problems increased. National- and local-based studies indicated an association of cannabis use with mental health harms, including depression and suicidality. Although some non-representative and/or local studies contain information, other monitoring data, including cannabis-related risks and harms (e.g., cannabis-related driving, mortality, hospitalisations), are limited in availability.

IMPLICATIONS AND CONCLUSION

The prevalence of cannabis use in Brazil is comparably low (e.g., relative to elsewhere in the Americas). Data on numerous key cannabis-related indicators is absent, or limited in scope for Brazil. Considering ongoing evolutions in cannabis control and its status as the most common illicit drug, more comprehensive surveillance of cannabis use and related outcomes is advised.

Long-term monitoring of drug consumption patterns during the COVID-19 pandemic in a small-sized community in Brazil through wastewater-based epidemiology

The abuse of legal and illegal drugs is a global public health problem, also affecting the social and economic well-being of the population. Thus, there is a significant interest in monitoring drug consumption. Relevant epidemiological information on lifestyle habits can be obtained from the chemical analysis of urban wastewater. In this work, passive sampling using polar organic chemical integrative samplers (POCIS) was used to quantify licit and illicit drugs biomarkers in wastewater for the application of wastewater-based epidemiology (WBE). In this WBE study, a small urban community of approximately 1179 inhabitants was monitored from 18 March 2020 to 3 March 2021, covering the mobility restriction and flexibilization periods of the COVID-19 pandemic in Brazil. Consumption was estimated for amphetamine, caffeine, cocaine, MDMA, methamphetamine, nicotine, and THC. The highest estimated consumption among illicit drugs was for THC (2369 ± 1037 mg day-1 1000 inh-1) followed by cocaine (353 ± 192 mg day-1 1000 inh-1). There was a negative correlation between consumption of caffeine, cocaine, MDMA, nicotine, and THC with human mobility, expressed by cellular phone mobility reports (P-value = 0.0094, 0.0019, 0.0080, 0.0009, and 0.0133, respectively). Our study is the first long-term drug consumption evaluation during the COVID-19 pandemic, with continuous sampling for almost a whole year. The observed reduction in consumption of both licit and illicit drugs is probably associated with stay-at-home orders and reduced access, which can be due to the closure of commercial facilities during some time of the evaluated period, smaller drug supply, and reduced income of the population due to the shutdown of companies and unemployment. The assay described in this study can be used as a complementary and cost-effective tool to the long-term monitoring of drug use biomarkers in wastewater, a relevant epidemiological strategy currently limited to short collection times.

A systematic review of factors associated with illegal drug driving

Drug driving is a serious problem worldwide that can increase the risk of road crashes. This systematic review seeks to identify factors associated with drug driving (i.e., driving after consuming drugs other than alcohol) to highlight gaps in existing knowledge and inform the design of more effective countermeasures. A search of the literature was conducted for the period January 1, 2005 to July 31, 2021 using six different databases. The search protocol followed PRISMA guidelines and was registered in PROSPERO (#CRD42021234616). Studies that met inclusion criteria compared drug drivers with either non-drug drivers, alcohol-only drivers or drug drivers from an earlier time period, to identify factors specifically associated with drug driving, rather than common to all drivers. Two hundred and nineteen publications met the inclusion criteria and were included within the review. Based on the findings, a logic model was developed that presents the factors associated with drug driving. Various sociodemographic, psychosocial and legal factors emerged as the main factors associated with illegal drug driving. At the sociodemographic and psychological levels, drug drivers were more likely to be single, young males who often drive after using cannabis and who score high on sensation-seeking and impulsivity scales. The key social factor found to be associated with drug driving was peer acceptance/disapproval of the behaviour. At the legal level, the review suggested that the effectiveness of current enforcement approaches to drug driving vary among jurisdictions around the world due to differences in the level of perceived certainty of apprehension and the chances of punishment avoidance. Future research into the anticipated and actual rewards for drug driving is needed to inform the development of more effective countermeasures.

Use of alcohol and illicit drugs by trauma patients in Sao Paulo, Brazil

INTRODUCTION

Alcohol and illicit drugs impair cognitive and psychomotor skills and may thereby increase the risk of involvement in a road traffic crash and other types of injuries. However, the knowledge on the use of psychoactive substances among injured patients presenting to emergency departments in low and middle-income countries remains limited.

AIMS

To estimate the prevalence of alcohol and illicit drug use among patients with traumatic injuries admitted to an emergency department in Sao Paulo, Brazil.

METHODS

Blood samples from injured patients requiring hospitalization for more than 24 h due to road traffic crashes, falls, or violence, were collected from July 2018 to June 2019. The samples were analyzed for alcohol and illicit drugs.

RESULTS

A total of 376 patients were included in this study; the median age was 36 years and 80% of patients were male. The majority (56%) of injuries resulted from road traffic crashes, with approximately half of them being motorcyclists. Alcohol, drugs, or both were detected in 32% of samples. The proportion that tested positive was highest for males (35%), for the age group 18-39 years (41%), for singles (43%), and for patients injured at nighttime (44%). Patients injured due to violence had the highest prevalence of alcohol or drugs in their blood samples (44%). Alcohol was most prevalent (23%), followed by cocaine (12%) and cannabis (5%).

CONCLUSION

The use of alcohol and illicit drugs was common among injured patients in Sao Paulo; it was likely a contributing factor in a third of the injurious accidents. Alcohol was the most prevalent substance followed by cocaine and cannabis.

Preliminary Eye-Tracking Data as a Nonintrusive Marker for Blood Δ-9-Tetrahydrocannabinol Concentration and Drugged Driving

Background: Cannabis is one of the drugs most often found in drivers involved in serious motor vehicle collisions. Validity and reliability of roadside cannabis detection strategies are questioned. This pilot study aimed to investigate the relationship between eye characteristics and cannabis effects in simulated driving to inform potential development of an alternative detection strategy. Materials and Methods: Multimodal data, including blood samples, eye-tracking recordings, and driving performance data, were acquired from 10 participants during a prolonged single-session driving simulator experiment. The study session included a baseline driving trial before cannabis exposure and seven trials at various times over ∼5 h after exposure. The multidimensional eye-tracking recording from each driving trial for each participant was segmented into nonoverlapping epochs (time windows); 34 features were extracted from each epoch. Blood Δ-9-tetrahydrocannabinol (THC) concentration, standard deviation of lateral position (SDLP), and mean vehicle speed were target variables. The cross-correlation between the temporal profile of each eye-tracking feature and target variable was assessed and a nonlinear regression analysis evaluated temporal trend of features following cannabis exposure. Results: Mean pupil diameter (r=0.81-0.86) and gaze pitch angle standard deviation (r=0.79-0.87) were significantly correlated with blood THC concentration (p<0.01) for all epoch lengths. For driving performance variables, saccade-related features were among those showing the most significant correlation (r=0.61-0.83, p<0.05). Epoch length significantly affected correlations between eye-tracking features and speed (p<0.05), but not SDLP or blood THC concentration (p>0.1). Temporal trend analysis of eye-tracking features after cannabis also showed a significant increasing trend (p<0.01) in saccade-related features, including velocity, scanpath, and duration, as the influence of cannabis decreased by time. A decreasing trend was observed for fixation percentage and mean pupil diameter. Due to the lack of placebo control in this study, these results are considered preliminary. Conclusion: Specific eye characteristics could potentially be used as nonintrusive markers of THC presence and driving-related effects of cannabis. clinicaltrials.gov (NCT03813602).

A meta-analysis study of worldwide prevalence of mortality in cocaine-consuming motorcyclists

For this meta-analysis, the aim is to estimate the prevalence and to determine the factors associated with changes in this prevalence in the world. A systematic review of PubMed/Medline, ISI Web of Knowledge, Scopus, and Science Direct, SID, and Google Scholar from 2011 to April 2020 was performed. Point prevalence was analyzed with a 95% confidence interval. The variances of each study were calculated using a two-sentence distribution formula, and the heterogeneity between the studies was assessed by the Q-Cochran test with a significance level of less than 0.1. Also, the index of changes attributed to I² was examined. Due to the heterogeneity between the studies, the random-effects model was used to combine the results of the studies. All statistical analyses were performed by the STATA software version 11 using Meta-Analysis commands. The significance level of the tests was considered to be P < 0.05. The prevalence of mortality in motorcyclists in six studies was reported to be 12% (0.05-0.18 = 95% CI). We stratified this study by participant geographical region and age group. In this study, the highest prevalence of mortality was in the under-30 age group. Furthermore, planning educational campaigns and advertisements by state authorities that are pointing out the harmful effects of motorcyclists' cocaine and/or other substances consumption is necessary.

Demographic and Cardiovascular Risk Factors Associated with Drug Use in Truck Drivers in the State of São Paulo, Brazil: A Cross-Sectional Study

The aim of the study is to analyze the association between risk factors for the health of truck drivers and previous use of illicit drugs. A cross-sectional study examined the data from 2071 truck drivers between 2010 and 2016. Demographic variables, risk factors for cardiovascular disease (CVD) and the use of illicit drugs were analyzed. The stepwise logistic regression model was used for the adjusted analysis. The dependent variable was the previous use of illicit drugs, and independent variables were those with p < 0.1 at a bivariate analysis. The average age of the truck drivers was 42.27 ± 11.07 years, and the previous use of illicit drugs was reported or detected in 388 (18.7%) drivers. Compared to non-users, drug users were younger (37.25 ± 9.45 vs. 43.43 ± 11.1 years; p < 0.001) and single (43.3% vs. 28.4%; p < 0.001). The independent variables for illicit drugs were age (OR = 0.93 (95% CI: 0.91-0.95; p < 0.001)), smoking (OR = 2.18 (95% CI: 1.39-3.44; p = 0.001)), alcohol consumption (OR = 1.626 (95% CI: 1.06-2.49; p = 0.026)) and driving hours per day (OR = 1.08 (95% CI: 1.01-1.15; p = 0.012)). Users of illicit drugs had multiple risk factors for CVD and traffic accidents.

Dopant for detection of methamphetamine in the presence of nicotine with ion mobility spectrometry

Methamphetamine (MA) is a highly addictive and illegal psychostimulant drug and is currently one of the most commonly abused illicit drugs in the world. The on-site rapid detection of trace amounts of MA and screening illicit drugs in clandestine laboratories is important for drug enforcement agencies and the forensic community in general. However, detecting methamphetamine in the presence of nicotine and cigarette smoke by ion mobility spectrometry faces difficulty due to the overlapped spectral peaks of methamphetamine and nicotine. In this work, a new method was developed to detect MA using pyridine as a dopant in the presence of nicotine by a homemade ion mobility spectrometry. The reduced mobilities of MA and nicotine were measured under the temperatures of the drift tube from 40 to 120 °C and doping with pyridine. The result shows that the temperature of 100 °C is beneficial to resolve the two substances. The concentration of doped pyridine is optimized to be 18 ppm. In this doped experiment, the reaction rate of nicotine is higher than that of MA by measuring the instrumental responses of MA and nicotine. No matter how high the nicotine content is, the interference of nicotine can be eliminated in the detection of MA doped with pyridine. This method is also successfully applied for the determination of MA and nicotine simultaneously in real saliva samples. The limit of detection of MA was measured to be about 0.5 ng/μL. The promising results in this work provide an effective method for on-site detection of MA.

Cardiometabolic risk factors and mental health status among truck drivers: a systematic review

OBJECTIVE

This study aimed to systematically review and summarise the literature on cardiometabolic risk factors, lifestyle health behaviours and mental health status of truck drivers globally to ascertain the scale of these health concerns.

DESIGN

Systematic review reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

DATA SOURCES

PubMed, Scopus, PsycINFO and Web of Science were searched in January 2019 and updated in January 2020, from the date of inception to 16 January 2020.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

Papers were included if they (1) reported independent data on truck drivers, (2) included quantitative data on outcomes related to cardiometabolic markers of health, mental health and/or health behaviours, (3) were written in English and (4) were published in a peer-reviewed journal. Grey literature was ineligible for this review.

DATA EXTRACTION AND SYNTHESIS

One reviewer independently extracted data and assessed methodological quality using a checklist based on the National Heart, Lung and Blood Institute Quality Assessment tool. 20% were independently assessed for eligibility and quality by a second reviewer. Due to heterogeneity of the outcomes, results were narratively presented.

RESULTS

3601 titles and abstracts were screened. Seventy-three studies met the inclusion criteria. Truck driving is associated with enforced sedentarism, long and irregular working hours, lack of healthy foods, social isolation and chronic time pressures. Strong evidence was observed for truck drivers to generally exhibit poor cardiometabolic risk profiles including overweight and obesity, hypertension, hypercholesterolaemia, high blood glucose, poor mental health and cigarette smoking.

CONCLUSIONS

Improving truck driver health is vital for the longevity of the trucking industry, and for the safety of all road users. The workplace plays a vital role in truck driver health; policies, regulations and procedures are required to address this health crisis.

PROSPERO REGISTRATION NUMBER

CRD42019124499.

Espacialização da mortalidade por transtornos mentais e comportamentais atribuível ao uso de substâncias psicoativas no Brasil, de 2012 a 2016

Introdução: Os transtornos mentais e de comportamento atribuíveis ao uso de substâncias psicoativas consistem em importante problema de saúde pública, dada a sua prevalência e o risco de promoverem incapacidade e morte. Objetivo: Analisar a distribuição espacial da mortalidade por transtornos mentais e comportamentais atribuível ao uso de substâncias psicoativas no Brasil. Métodos: Estudo ecológico em municípios do Brasil, no período de 2012 a 2016. Analisou-se a distribuição espacial, a intensidade e a significância através do índice de Moran Global, MoranMap e BoxMap. Resultados: A maioria dos óbitos foi atribuível ao uso do álcool (n = 33.177; 77,36%) , seguido do fumo (n = 7.262; 16%) e do uso de múltiplas drogas (n = 1.409; 3,29%), sendo que a maioria (n = 36.861; 85,97%) era do sexo masculino e 46.31% solteiros. Nas faixas de idade entre 40 a 59 anos houve 21.712 óbitos (50,63%), e entre 60 anos e mais, 13.445 óbitos (31,35%). Os municípios que apresentaram as maiores taxas médias de mortalidade padronizadas (óbitos/100 mil hab.) foram: Charrua–RS (43,60), Uru–SP (43,19), Riacho da Cruz–RN (42,21), Senhora do Porto–MG (42,19), Mata–RS (36,81), Pendências–RN (35,26) e Catuji–MG (35,19). O valor do Índice Global de Moran foi de 0,216 (p = 0,01). No MoranMap observou-se formação de cluster de alto/alto nas regiões Nordeste e Sudeste. Conclusão: Existe no Brasil um padrão de dependência espacial na distribuição das taxas de mortalidade atribuíveis ao uso de substâncias psicoativas.

Hollow-fibre liquid-phase microextraction and gas chromatography-mass spectrometric determination of amphetamines in whole blood

Here, we present a fully validated method using a hollow-fibre liquid-phase microextraction technique for the determination by gas chromatography-mass spectrometry (GC-MS) of amphetamine (AMP), methamphetamine (MET), fenproporex (FEN), 3,4-methylenedioxymethamphetamine (MDMA), 3,4-methylenedioxyamphetamine (MDA) and 3,4-methylenedioxyethylamphetamine (MDEA) in whole blood. The validation parameters presented successful values within those recommended by the Scientific Working Group for Forensic Toxicology (SWGTox) in the Standard Practices for Method Validation in Forensic Toxicology. The limits of detection ranged from 1 to 3 ng/mL, and the limits of quantification ranged from 2 to 5 ng/mL. The determination coefficients (r²) ranged from 0.990 to 0.997, and the method presented good intraday and interday accuracy (from 90.4% to 97.2%) and satisfactory recovery (from 68% to 110%). No carryover was observed. The heteroscedasticity was tested, and only AMP presented homoscedasticity. Weighting factors were applied to correct the linearity of MET (1/x²), MDA (1/x), FEN (1/x^1/2), MDMA (1/x²) and MDEA (1/y). Dilution integrity was tested at ratios of 1:2, 1:5 and 1:10, and all maintained intraday precision (from 94.9% to 99.3%) and interday precision (from 89.4% to 94.9%). The validated method was applied to six real whole blood samples from individuals suspected of consuming ecstasy, and MDMA, MDA and amphetamine were successfully identified and quantified.

Use of Alcohol Mixed with Energy Drinks Increases the Prevalence of Driving Violations among Brazilian Truck Drivers

Background: The use of alcohol mixed with energy drinks (AmED) has been reported to be associated with a variety of unsafe driving practices. Truck drivers are vulnerable to driving violations, particularly because of their engagement in drug use. The use of AmED among these professionals remains unknown. Aim: To estimate the prevalence of AmED use and its association with driving violations among truck drivers. Methods: 684 drivers were recruited in Sao Paulo, Brazil. The use of drugs was reported. Drivers were split into three groups: (a) alcohol abstainers (AA); (b) alcohol-only users (AO); and (c) users of AmED. Intergroup comparisons were performed by polynomial logistic regression (the reference category was AO). We also performed Poisson regression analysis to obtain the prevalence ratio; the significance level was stipulated at 5%. Results: The prevalence of drivers reporting the use of AmED was 16.8%. Users of AmED (a) were younger, (b) were less experienced drivers, (c) had a heavier pattern of alcohol use, (d) used illicit drugs more frequently, and (e) had poorer sleep quality than AO subjects. A higher prevalence of drivers who had arguments or fights while driving (PR = 1.71) and of drivers who drove unbelted (PR = 1.66) ingested AmED than of AO subjects. Conclusions/importance: The use of AmED increased the prevalence of driving violations beyond the risks commonly attributed to alcohol use. We suggest additional investments in preventative measures based on the beverage category and a revision of the work organization of truck drivers to reduce their health and social risks.