Hair analysis and its concordance with self-report for drug users presenting in emergency department

Words versus Strands: Reliability and Stability of Concordance Rates of Self-Reported and Hair-Analyzed Substance Use of Young Adults over Time

INTRODUCTION

Population-level substance use research primarily relies on self-reports, which often underestimate actual use. Hair analyses offer a more objective estimate; however, longitudinal studies examining concordance are lacking. Previous studies showed that specific psychological and behavioral characteristics are associated with a higher likelihood of underreporting substance use, but the longitudinal stability of these associations remains unclear. We compared the prevalence of illegal and non-medical prescription substance use assessed with self-reports and hair analyses and predicted underreporting across two time points.

METHODS

Data were drawn from a community cohort study. At the first time point, the sample with self-report and hair analysis comprised 1,002 participants (Mage = 20.6 [SD = 0.38] years, 50.2% female), of which 761 (Mage = 24.5 [SD = 0.38] years, 48.3% female) also provided hair at the second time point. We compared substance use 3-month prevalence rates assessed by self-reports and hair analyses for the most frequent substances cannabis/tetrahydrocannabinol (THC), amphetamines, Ecstasy/3,4-methylenedioxymethamphetamine (MDMA), cocaine, ketamine, codeine, and opioid painkillers. Binary logistic regressions were conducted to test behavioral and psychological predictors of underreporting.

RESULTS

Self-reported past-year prevalence rates of non-medical substance use were high, specifically for cannabis (56% prevalence rate at age 20/49% at age 24), Ecstasy (13%/14%), codeine (13%/11%), cocaine (12%/13%), and opioid painkillers (4%/11%). Comparing self-report and hair-analysis 3-month prevalence rates over time, consistent underreporting (similar underreporting rates between time points and investigation of false negatives) was observed for daily cannabis (22%/23%), Ecstasy/MDMA (41%/52%), cocaine (30%/60%), ketamine (61%/72%), and codeine use (48%/51%). Underreporting of Ecstasy/MDMA, cocaine, ketamine, and opioid painkillers significantly increased. Contrarily, weekly to daily cannabis (31%/18%), amphetamine (95%/11%), and opioid painkiller use (12%/66%) were overreported. Hair analysis-derived 3-month prevalence rates of cocaine (9%/23%) and ketamine (2%/6%) strongly increased over time, while decreasing for codeine (11%/8%). Balanced accuracies were higher for hair analysis compared to self-reports for daily cannabis, Ecstasy/MDMA, cocaine, ketamine, and codeine but lower for weekly to daily cannabis and amphetamines, while fairly similar for opioid painkillers. Accuracy metrics were largely stable for cannabis measures but partially varied over time for other substances, which was likely driven by the large changes in underreporting. False negative reports were associated across both time points, indicating an intra-individual consistency of underreporting. At both time points, delinquency and attention-deficit hyperactivity disorder symptoms were associated with an increased likelihood of accurately reporting cocaine use, while internalizing symptoms increased the likelihood of accurately reporting codeine use.

CONCLUSION

Consistent and changeable underreporting emphasizes the importance of objective substance use assessments, specifically for studies investigating cocaine, Ecstasy/MDMA, ketamine, and codeine.

Associations Between Self-Reported Cocaine Use Patterns and Cocaine and Its Metabolites in Hair: Implications for Clinical and Forensic Practices

In forensic toxicology, it has been debated if hair testing allows an estimation of the intensity of cocaine use-an assumption that may have risen because self-reports in a forensic setting are of uncertain validity per se. We therefore investigated the relationship between self-reported cocaine use and cocaine hair concentrations (including its main metabolites benzoylecgonine and norcocaine) in chronic cocaine users voluntary participating in psychiatric study settings. Additionally, we tested whether hair testing can distinguish between individuals with and without a diagnosis of cocaine dependency. Cocaine users (N = 195) from three independent experimental studies reported their average powder cocaine consumption in g/week over the last 3-4 months in an interview and provided a 3- to 4-cm hair sample assayed with liquid chromatography tandem-mass spectrometry. Moreover, study participants were assessed with the Structured Clinical Interview (SCID-IV) for psychiatric diagnoses. Using linear regression models, we found a robust correlation between cocainetotal (sum of cocaine and metabolites) hair concentration and self-reported cocaine use in g/week (rcocainetotal = 0.47, p < 0.001), indicating that 1000 pg/mg cocainetotal corresponded to a use of 0.80 g/week (confidence interval [95%]: 0.56-1.07 g/week). In logistic regression models, cocainetotal hair concentration predicted cocaine dependency with a sensitivity of 0.79 and a specificity of 0.65 (threshold 0.5), suggesting its acceptable capacity to distinguish dependent from non-dependent cocaine users. The findings may have significant implications for forensic and clinical practices, encouraging the use of hair analysis as a potential tool for monitoring cocaine use and dependence.

Prenatal alcohol and tetrahydrocannabinol exposure: Effects on spatial and working memory

Introduction

Alcohol and cannabis are widely used recreational drugs that can negatively impact fetal development, leading to cognitive impairments. However, these drugs may be used simultaneously and the effects of combined exposure during the prenatal period are not well understood. Thus, this study used an animal model to investigate the effects of prenatal exposure to ethanol (EtOH), Δ-9-tetrahydrocannabinol (THC), or the combination on spatial and working memory.

Methods

Pregnant Sprague-Dawley rats were exposed to vaporized ethanol (EtOH; 68 ml/h), THC (100 mg/ml), the combination, or vehicle control during gestational days 5-20. Adolescent male and female offspring were evaluated using the Morris water maze task to assess spatial and working memory.

Results

Prenatal THC exposure impaired spatial learning and memory in female offspring, whereas prenatal EtOH exposure impaired working memory. The combination of THC and EtOH did not exacerbate the effects of either EtOH or THC, although subjects exposed to the combination were less thigmotaxic, which might represent an increase in risk-taking behavior.

Discussion

Our results highlight the differential effects of prenatal exposure to THC and EtOH on cognitive and emotional development, with substance- and sex-specific patterns. These findings highlight the potential harm of THC and EtOH on fetal development and support public health policies aimed at reducing cannabis and alcohol use during pregnancy.

Self-report and urine drug screen concordance among women with co-occurring PTSD and substance use disorders participating in a clinical trial: Impact of drug type and participant characteristics

BACKGROUND

Self-report measures are important in substance use assessment, yet they are susceptible to reporting errors. Urine drug screens (UDS) are often considered a more valid alternative. However, collecting in-person UDS may not always be feasible, contributing to the need to understand factors that influence the validity of self-reported substance use.

METHODS

In this secondary analysis of data from 295 women with co-occurring PTSD and substance use disorders (SUD) who participated in a clinical trial testing behavioral interventions, we examined concordance and discordance between self-reported drug use and associated UDS results. Generalized linear mixed models were used to examine the impact of treatment type and participant characteristics on the associations between self-reported drug use and UDS results.

RESULTS

Findings revealed higher disagreement between self-report and UDS for opioids and sedatives (ranging from.77 to.90) and lower disagreement rates for cannabis and cocaine (ranging from.26 to.33). Treatment type was not a significant moderator of the associations between self-report and UDS across all drugs. Among those with a positive opioid UDS, those who reported employment in the past three years were more likely to self-report no opioid use compared to their counterparts without employment in the past three years.

CONCLUSIONS

Findings add to the literature that supports the validity of self-reported cannabis and cocaine use. The greater discrepancies between self-report and UDS test results of opioids and sedatives suggest adjunctive UDS may be required, although a variety of factors other than inaccurate self-report may be associated with this discrepancy.

Cannabis use, comorbidities, and prescription medication use among older adults in a large healthcare system in Los Angeles, CA 2019-2020

OBJECTIVE

To describe the reported prevalence of cannabis use and co-use with prescription medications among older adult patients attending primary care (PC) clinics in Los Angeles, CA.

METHODS

We used electronic health record (EHR) data from sixty PC clinics part of a university-based, urban healthcare system. Patients' ≥50 years of age with an annual physical examination between July 2019 and May 2020 were eligible for inclusion (n = 42,555). Cannabis use was assessed by clinic staff at the time of the visit and recorded in the EHR. We also used EHR data on clinical characteristics including current prescriptions and comorbidities.

RESULTS

The median age was 63 years (range: 50-101) and 56% were female. Recent cannabis use was reported by 7.6%, which was higher than tobacco use (4.0%; p < 0.01). Prevalence of cannabis use was higher among patients prescribed psychotropic medications. For instance, 10.9% of patients prescribed benzodiazepines reported cannabis use as compared with 7.3% among patients without a prescription for benzodiazepines (p < 0.01). Patients with neurologic/musculoskeletal medications such as antiepileptics also had a higher prevalence of cannabis use when compared with those without these prescriptions (13.6% vs. 7.6% respectively; p < 0.01) as did those who were prescribed muscle relaxants (10.3% vs. 7.5% respectively; p < 0.01). After adjusting for age, sex, race/ethnicity, and comorbidities those prescribed medications for psychiatric (adjusted OR = 1.5; 95% CI 1.4-1.7), respiratory (adjusted OR = 1.2; 95% CI 1.1-1.3), or neurologic conditions (adjusted OR = 1.4; 95% CI 1.2-1.5) had increased odds of cannabis use compared with those not prescribed these medications.

DISCUSSION

The prevalence of cannabis use among older adults attending PC clinics in a university-based healthcare system was higher among those prescribed medications, which may interact with cannabis. These findings suggest that key groups of older patients who may benefit from routine PC screening for cannabis use and brief advice.

Mental health and quality of life in a population of recreative cannabis users in Brazil

Cannabis is the third most used recreational drug worldwide. Despite the popularity of cannabis use among Brazilians, information about frequent cannabis users outside clinical contexts remains scarce. This is a cross-sectional study of a non-probabilistic sample of 7405 Brazilian adults (6620 [89.4%] cannabis users and 785 [10.6%] non-users) who answered an online survey that collected demographic data, cannabis and other substance use information (initial substance use, lifetime and past-month use), and standardized scales to assess quality of life, subjective well-being, anxiety, and depression scores. Among cannabis users, 17.1% of the participants self-classified themselves as occasional users, 64.6% as habitual users, and 7.7% as dysfunctional users. Participants were mostly young male adults, with at least high-school education, employed, without children. The highest scores for quality of life were observed among habitual cannabis users, followed by occasional users, while both non-users and dysfunctional users presented less favorable scores. Subjective measures of well-being were higher among habitual and occasional users than among non-users, whereas dysfunctional users were the most affected. Poor quality of life, depression or anxiety were more prevalent among dysfunctional users, but non-users of cannabis reported more depression or anxiety symptoms and less quality of life than both occasional and habitual users. The results obtained in this study are particularly relevant because they refer to a sample predominantly composed of habitual cannabis users from the general population, a rarely represented group in other surveys. The fact that cannabis use is generally associated with increased risk of adverse health outcomes was not observed in this study.

Methods for Population Research on Substance Use and Consequences

This chapter reviews the array of methods used in contemporary research on population-level research on substance use and its consequences. We argue that there are critical questions that can best - or in some cases, only - be addressed at the level of a population. We then describe the major categories of data collection methods used in population research, including surveys, ecological momentary assessment, administrative data, audit methods, and unobtrusive assessment of substance use. Two categories of measures are then discussed: measures of an individual's use of substances and related problems and measures of harm to others caused by one's use. We then review factors that may be considered causes or correlates of substance use and consequences, including both individual and environmental factors. We close with a few thoughts on the accumulation of knowledge and its translation to policy and practice.

[High-risk drug use: epidemiological pattern through hair testing in the forensic context]

OBJECTIVE

The basic sources of information on drug use are epidemiological surveys, although they have some limitations: their results may be conditioned by the lack of veracity of the responses and the sampling method makes it difficult to detect lowprevalence behaviours in target populations. This study aimed to establish the epidemiological pattern of drug use in the population undergoing drug testing in hair, in the framework of judicial investigations, in order to provide an additional approach to the knowledge of high-risk drug use.

METHODS

A cross-sectional study on drug use was conducted on the population subjected to drug testing in hair (N=5,292) in the forensic context. Prevalence of cannabis, cocaine, heroin, ketamine, amphetamine (AP), methamphetamine (MA), 3,4-methylenedioxy- methamphetamine (MDMA), 3,4-methylenedioxyamphetamine (MDA), 3,4-methylenedioxy-N-ethylamphetamine (MDEA) and methadone uses were obtained. Association between drug use and demographics, and trends of prevalence over the period were analysed using the Pearson Chi-square test. Frequency distribution of drug concentrations in hair was obtained and it was assessed in relation to gender and age using the non-parametric Mann-Whitney U and Kruskal-Wallis H methods.

RESULTS

During the period 2013-2015, prevalence of cocaine use was particularly high (49%), rating second among the population studied, after cannabis use (54%). Proportions of heroin, methadone, MDMA and amphetamine use ranged from 10% to 18%. There was a significant increase in prevalence of MDMA, heroin and amphetamine use during the period 2013-2015, as well as a significant decrease in methadone use. The rates of cannabis, cocaine and MDMA use were higher in men, whereas methadone use was higher among women.

CONCLUSIONS

Cannabis and cocaine are the most frequently abused drugs among the population undergoing drug testing in hair in the framework of judicial investigations over the three-year period, although the proportions of heroin, MDMA and amphetamine users show an increasing trend. Drug use patterns vary according to age and sex, with a decrease in cannabis and MDMA use and an increase in heroin and methadone use as age increased; cannabis, cocaine and MDMA use are more prevalent among men and methadone use among women.

A comparison of the utility of urine- and hair testing in detecting self-reported drug use among young adult opioid users

BACKGROUND

Biological testing can be used to validate or detect underreported drug use. Since hair testing is increasingly used in survey research, we examined how the utility of hair testing compares to a more common method-urine testing.

METHODS

532 adults (ages 18-29) reporting past-month heroin use and/or nonmedical prescription opioid use were surveyed about past-month use of various drugs. Participants were urine-tested and the majority (79.3%) provided a hair sample for analysis. We examined the utility of urine vs. hair-testing in detecting past-month use of various drugs.

RESULTS

Compared to hair testing, urine testing was able to confirm higher proportions of self-reported use of heroin/opioids (85.5% vs. 80.9%), marijuana (73.9% vs. 22.9%), benzodiazepines (51.3% vs. 15.1%), and methadone (77.0% vs. 48.7%), while hair testing was more likely to detect reported cocaine use (66.3% vs. 48.0%) (Ps<.01). Compared to hair testing, urine testing was more likely to detect unreported use of marijuana (11.3% vs. 0.9%), and benzodiazepines (14.4% vs. 5.4%), and hair testing was more likely to detect unreported use of cocaine (27.0% vs. 5.8%) and oxycodone (19.7% vs. 1.4%) (Ps<.001). When added to urine testing, hair testing increased detection of reported and non-reported use of cocaine and oxycodone ranging from 14 to 22%.

CONCLUSIONS

While hair testing is efficacious in detecting drug use in wide window periods (e.g., past-year use), it is less efficacious than urine testing when testing for past-month use of select drugs among opiate/opioid users. However, hair testing is particularly efficacious in detecting unreported use of cocaine and/or oxycodone.

A systematic scoping review of research on Black participants in the National Drug Abuse Treatment Clinical Trials Network

Black individuals experience a disproportionate burden of substance-related disabilities and premature death relative to other racial/ethnic groups, highlighting the need for additional research. The National Drug Abuse Treatment Clinical Trials Network (CTN), a research platform for multisite behavioral, pharmacological, and integrated trials designed to evaluate the effectiveness of substance use treatments in community settings with diversified patient populations, provides a wealth of research knowledge on substance use. Although CTN trials have enrolled over 5,000 Black individuals since its inception in 2000, there has been no synthesis of the findings, discussion of the implications, or suggestions for future research for Black individuals. Members of the Minority Interest Group of the CTN conducted a scoping review of published research on Black participants in CTN trials. Studies were included if the sample was more than 75% Black and/or specific findings pertaining to Black participants were reported. The review yielded 50 articles, with studies that mostly focused on baseline characteristics, followed by substance use treatment outcomes, HIV/risky sex behaviors, retention, comorbid conditions and measurement issues. This review highlighted the importance of several issues that are critical to understanding and treating substance misuse among Black people, such as the characteristics of Black people entering treatment, measurement equivalence, and engaging/retaining adolescents and young adults in treatment. There is still a continued need to identify the most effective treatments for Black individuals who use substances. The CTN offers several untapped opportunities to further advance research on Black individuals who use substances (e.g., secondary analyses of publicly available data). (PsycINFO Database Record (c) 2020 APA, all rights reserved).

A randomized controlled trial and economic evaluation of the Parents Under Pressure program for parents in substance abuse treatment

BACKGROUND

There is growing interest in the provision of parenting support to substance misusing parents.

METHODS

This pragmatic, multi-center randomized controlled trial compared an intensive one-to-one parenting program (Parents under Pressure, PuP) with Treatment as Usual (TAU) in the UK. Parents were engaged in community-based substance misuse services and were primary caregivers of children less than 2.5 years of age. The primary outcome was child abuse potential, and secondary outcomes included measures of parental emotional regulation assessed at baseline, 6 and 12-months. A prospective economic evaluation was also conducted.

RESULTS

Of 127 eligible parents, 115 met the inclusion criteria, and subsequently parents were randomly assigned to receive PuP (n = 48) or TAU (n = 52). Child abuse potential was significantly improved in those receiving the PuP program while those in TAU showed a deterioration across time in both intent-to-treat (p < 0.03) and per-protocol analyses (p < 0.01). There was also significant reliable change (recovery/improvement) in 30.6% of the PuP group compared with 10.3% of the TAU group (p < 0.02), and deterioration in 3% compared with 18% (p < 0.02). The probability that the program is cost-effective was approximately 51.8% if decision-makers are willing to pay £1000 for a unit improvement in the primary outcome, increasing to 98.0% at a £20,000 cost-effectiveness threshold for this measure.

CONCLUSIONS

Up to one-third of substance dependent parents of children under 3-years of age can be supported to improve their parenting, using a modular, one-to-one parenting program. Further research is needed.