Recent legalization of cannabis use: effects on sleep, health, and workplace safety

Long-term effects on cardiorespiratory and behavioral responses in male and female rats prenatally exposed to cannabinoid

Development of the respiratory system can be affected by the use of drugs during pregnancy, as the prenatal phase is highly sensitive to pharmacological interventions, resulting in long-term consequences. The deleterious effects of external cannabinoids during gestation may be related to negative interference in central nervous system formation, cardiorespiratory system function, and behavioral disorders. Nevertheless, the impact of external cannabinoids on cardiorespiratory network development, chemosensitivity, and its future consequences in adulthood is still unclear. We evaluated the effects of prenatal exposure to a synthetic cannabinoid (WIN 55,212-2, 0.5 mg·kg-1·day-1) on the cardiorespiratory control and panic-like behavior of male and female rats in adulthood. Exogenous cannabinoid exposure during pregnancy resulted in a sex-dependent difference in breathing control. Specifically, males showed increased chemosensitivity to CO2 and O2, whereas females exhibited decreased sensitivity. Altered cardiovascular control was evident, with prenatally treated males and females being more susceptible to hypertension and tachycardia under adverse environmental conditions. Moreover, WIN-treated males exhibited higher fragmentation of sleep episodes, whereas females displayed anxiolytic and panicolytic behavioral responses to CO2. However, no changes were observed in the mechanical component of the respiratory system, and there were no neuroanatomical alterations, such as changes in the expression of CB1 receptors in the brainstem or in the quantification of catecholaminergic and serotonergic neurons. These findings highlight that external interference in cannabinoid signaling during fetal development causes sex-specific, long-lasting effects for the cardiorespiratory system and behavioral responses in adulthood.NEW & NOTEWORTHY The surge in recreational cannabis use and cannabinoid-based medication prescription among pregnant women has been notable in recent years, fueled by the misconception that natural products are inherently safe. Significant gaps persist regarding the potential risks of maternal consumption of cannabinoids and the long-term effects on the cardiorespiratory system of their offspring, which may be determined by sex. Accordingly, this research aims to diminish this lack of information and raise a note of caution.

Daily cannabis use is associated with sleep duration differentially across ages

OBJECTIVE

To assess the relationship between frequency of cannabis use and sleep duration across age in a large US population (235,667 people).

METHODS

Multinomial logistic regression was used to evaluate the association between the frequency of cannabis use and sleep duration using cross sectional data from the 2016-2018 Behavioral Risk Factor Surveillance System.

RESULTS

When adjusted for sociodemographic factors, health related variables, and stratified by age we found that young adults (18-44 years) who reported daily-use (≥16 uses a month) had an increased risk ratio (RR [95% CI]) for either short or long sleep (1.22 [1.06-1.40] and 1.52 [1.07-2.16]); midlife adults (45-64 years) who reported daily-use had an increased prevalence of long sleep (1.71 [1.03-2.82]); and older adults (≥65 years) who reported daily-use had an increased prevalence of short sleep (1.61 [1.05-2.49]).

CONCLUSIONS

Compared to those who reported no cannabis use, individuals who reported daily cannabis use demonstrated a greater prevalence for either short or long sleep duration.

Prevalence and Psychiatric Correlates of Illicit Substance Use in UK Undergraduate Students

This study examined the prevalence of illegal drug use in UK students and motivators behind such behavior. Additionally, we explored possible relationships between substance use, psychosocial motivators, and psychiatric distress. A group (n = 543) of students completed online measures of substance use, anxiety, depression, perceived stress, and insomnia. A series of reasons behind their use were ranked based on importance. Reported cannabis, cocaine, nitrous oxide, ketamine, and MDMA use were most prevalent based on lifetime, past year, and month assessments. The experience of anxiety, depression, perceived stress, and insomnia were related to increased reports of substance use. Poor self-confidence and self-medication were key motivators of illicit drug use in those presenting greater psychiatric distress. These outcomes add to the sparse body of literature concerning illicit substance use in relation to psychiatric distress amongst UK students. Furthermore, we provided novel insight into the psychosocial motivators of such use.

A Clinical Framework for Assessing Cannabis-Related Impairment Risk

Clinicians play an important role in promoting safe and responsible medical cannabis use. One essential component to safe use is considering a patient's risk of neurocognitive impairment. However, there remains a lack of practical guidance on how clinicians can evaluate this risk for medical cannabis patients. Here, a practical framework is presented for clinicians to assess and stratify cannabis-associated impairment risk. The proposed framework is intended to practically guide healthcare providers in gaining a more comprehensive review of a patient's impairment-related factors. This framework can be used to assess impairment risk for patients currently using or considering medical cannabis and is recommended for all patients who perform safety-sensitive duties. Healthcare providers (HCP) managing patient's medical cannabis or those conducting assessments to determine risk of impairment for safety-sensitive workplaces can utilize this framework to stratify patients' risk of impairment. Such assessments can inform patient-specific needs for support, education, and guidance, to ensure cannabis is used safely and responsibly.

Sleep deficits and cannabis use behaviors: an analysis of shared genetics using linkage disequilibrium score regression and polygenic risk prediction

STUDY OBJECTIVES

Estimate the genetic relationship of cannabis use with sleep deficits and an eveningness chronotype.

METHODS

We used linkage disequilibrium score regression (LDSC) to analyze genetic correlations between sleep deficits and cannabis use behaviors. Secondly, we generated sleep deficit polygenic risk score (PRS) and estimated their ability to predict cannabis use behaviors using linear and logistic regression. Summary statistics came from existing genome-wide association studies of European ancestry that were focused on sleep duration, insomnia, chronotype, lifetime cannabis use, and cannabis use disorder (CUD). A target sample for PRS prediction consisted of high-risk participants and participants from twin/family community-based studies (European ancestry; n = 760, male = 64%; mean age = 26.78 years). Target data consisted of self-reported sleep (sleep duration, feeling tired, and taking naps) and cannabis use behaviors (lifetime ever use, number of lifetime uses, past 180-day use, age of first use, and lifetime CUD symptoms).

RESULTS

Significant genetic correlation between lifetime cannabis use and an eveningness chronotype (rG = 0.24, p < 0.001), as well as between CUD and both short sleep duration (<7 h; rG = 0.23, p = 0.017) and insomnia (rG = 0.20, p = 0.020). Insomnia PRS predicted earlier age of first cannabis use (OR = 0.92, p = 0.036) and increased lifetime CUD symptom count (OR = 1.09, p = 0.012).

CONCLUSION

Cannabis use is genetically associated with both sleep deficits and an eveningness chronotype, suggesting that there are genes that predispose individuals to both cannabis use and sleep deficits.

EEG biomarkers acquired during a short, straight-line simulated drive to predict impairment from cannabis intoxication

OBJECTIVE

As cannabis use becomes more widely accepted, there is growing interest in its effects on brain function, specifically how it may impact daily functional activities such as driving, operating machinery, and other safety-related tasks. There are currently no validated methods for quantifying impairment from acute cannabis intoxication. The objective of this study was to identify neurophysiological correlates associated with driving simulator performance in subjects who were acutely intoxicated with cannabis. These signatures could help create an EEG-based profile of impairment due to acute cannabis intoxication.

METHODS

Each subject completed a three-visit study protocol. Subjects were consented and screened on the first visit. On the second and third visits, subjects were administered either 500 mg of cannabis with 6.7% delta-9-tetrahydrocannabinol (THC) or placebo using a Volcano© Digit Vaporizer in a counterbalanced fashion. EEG was acquired from subjects as they performed a series of neurocognitive tasks and an approximately 45-minute simulated drive that included a rural straight-away absent of any other cars or obstacles during the final 10 minutes.EEG data was acquired using a STAT X24 wireless sensor headset during a simulated driving scenario from 10 subjects during the THC and placebo visits. Metrics of driving performance were extracted from the driving simulator and synchronized with EEG data using a common clock.

RESULTS

A within-subjects analysis showed that the standard deviation of lane position (SDLP) was significantly worse and heart rate was elevated during the dosed visit compared to the placebo visit. Consistent with our prior findings, EEG power in the Theta frequency band (4-7 Hz) in the dosed condition was significantly decreased from the placebo condition. Theta power was negatively correlated with the SDLP driving performance metric, while there were no significant correlations between any EEG measure and SDLP in the placebo condition.

CONCLUSIONS

These results, in combination with prior work on the effect of cannabis intoxication during neurocognitive tasks, suggest that neurophysiological signatures associated with acute cannabis intoxication are robust and consistent across tasks, and that these signatures are significantly correlated with impaired performance in a driving simulator. Taken together, EEG data acquired during a short neurocognitive testbed and during a simulated drive may provide specific profiles of impairment associated with acute cannabis intoxication. Further research is needed to establish the impaired cognitive processes associated with these EEG biomarkers.

Marijuana versus evidence-based treatments for sleep and relaxation: A cross-sectional study of use and dose modification following involuntary job loss

OBJECTIVES

Sleep disruption and relaxation are commonly cited reasons for marijuana use. Job loss is a significant stressor associated with high risk for sleep disruption. Little is known about marijuana use in relation to other intervention choices for sleep/relaxation in individuals who have experienced recent, involuntary job loss.

METHODS

This study compared self-reported use of marijuana to evidence-based treatments (EBT) for sleep/relaxation using data from the ongoing Assessing Daily Activity Patterns through Occupational Transitions (ADAPT) study. Participants were 1639 completers of the ADAPT phone screen interview. EBT was defined as Cognitive Behavioral Therapy for Insomnia (CBT-I), non-benzodiazepine sedatives/hypnotics, and benzodiazepines.

RESULTS

Marijuana was the most common treatment for sleep/relaxation. Two-sample tests of proportions revealed that prevalence of use of marijuana was comparable to the entire class of EBTs (~5%). Only 2 (0.1%) participants reported receiving CBT-I, the first-line treatment for insomnia disorder, as per the American College of Physicians Clinical Practice Guidelines. Rates of dose increase following job-loss were comparable between users of marijuana and EBTs (Z = 0.56, p = .58). Multiple logistic regression models demonstrated that male sex (OR = 0.28, 95%CI = 0.14-0.57) and substance abuse (OR = 7.68, 95%CI = 2.89-20.43) were significantly associated with increased likelihood of marijuana use.

CONCLUSIONS

Individuals who have recently experienced involuntary job loss may be more likely to use marijuana than any one EBT for sleep/relaxation and as likely to increase their treatment dose. Dissemination of evidence-based sleep health interventions is needed in unemployed populations to prevent habitual patterns resulting in the long-term use of marijuana for sleep/relaxation.

Prenatal cannabis exposure and sleep outcomes in children 9-10 years of age in the adolescent brain cognitive development SM study

OBJECTIVES

Analyze the associations between prenatal cannabis exposure and child sleep outcomes.

METHODS

Data from the Adolescent Brain Cognitive Development Study (ABCD Study®) was used to determine whether maternal reports of prenatal cannabis use were associated with child sleep outcomes among 11,875 children ages 9-10 controlling for covariates including prenatal substance exposure, mother's education, combined household income, parental marital status, race, child sex, and child age.

RESULTS

Endorsement of any prenatal cannabis use was associated with symptoms of disorders of initiating and maintaining sleep, disorders of arousal, sleep wake disorders, disorders of excessive somnolence, and a summed sleep disorder score (all β > 0.10 and p < 0.03) while frequency of prenatal daily cannabis use was significantly associated with disorders of excessive somnolence (β = 0.29, p = 0.03).

CONCLUSIONS

Although causality is not established, the results suggest potential long-term effects of prenatal cannabis exposure on sleep and the prudence of abstinence from cannabis use while pregnant.

Medicinal cannabis for psychiatric disorders: a clinically-focused systematic review

BACKGROUND

Medicinal cannabis has received increased research attention over recent years due to loosening global regulatory changes. Medicinal cannabis has been reported to have potential efficacy in reducing pain, muscle spasticity, chemotherapy-induced nausea and vomiting, and intractable childhood epilepsy. Yet its potential application in the field of psychiatry is lesser known.

METHODS

The first clinically-focused systematic review on the emerging medical application of cannabis across all major psychiatric disorders was conducted. Current evidence regarding whole plant formulations and plant-derived cannabinoid isolates in mood, anxiety, sleep, psychotic disorders and attention deficit/hyperactivity disorder (ADHD) is discussed; while also detailing clinical prescription considerations (including pharmacogenomics), occupational and public health elements, and future research recommendations. The systematic review of the literature was conducted during 2019, assessing the data from all case studies and clinical trials involving medicinal cannabis or plant-derived isolates for all major psychiatric disorders (neurological conditions and pain were omitted).

RESULTS

The present evidence in the emerging field of cannabinoid therapeutics in psychiatry is nascent, and thereby it is currently premature to recommend cannabinoid-based interventions. Isolated positive studies have, however, revealed tentative support for cannabinoids (namely cannabidiol; CBD) for reducing social anxiety; with mixed (mainly positive) evidence for adjunctive use in schizophrenia. Case studies suggest that medicinal cannabis may be beneficial for improving sleep and post-traumatic stress disorder, however evidence is currently weak. Preliminary research findings indicate no benefit for depression from high delta-9 tetrahydrocannabinol (THC) therapeutics, or for CBD in mania. One isolated study indicates some potential efficacy for an oral cannabinoid/terpene combination in ADHD. Clinical prescriptive consideration involves caution in the use of high-THC formulations (avoidance in youth, and in people with anxiety or psychotic disorders), gradual titration, regular assessment, and caution in cardiovascular and respiratory disorders, pregnancy and breast-feeding.

CONCLUSIONS

There is currently encouraging, albeit embryonic, evidence for medicinal cannabis in the treatment of a range of psychiatric disorders. Supportive findings are emerging for some key isolates, however, clinicians need to be mindful of a range of prescriptive and occupational safety considerations, especially if initiating higher dose THC formulas.

Cannabis and alcohol use for sleep aid: A daily diary investigation

OBJECTIVE

One in 5 college students use substances such as cannabis and/or alcohol to help sleep. Despite this high prevalence of sleep aid use, there remains a lack of research on the potential day-to-day sleep- and substance-related consequences. The current study examined associations of cannabis and alcohol sleep aid use with subsequent sleep and substance use consequences among college students.

METHOD

Of a baseline sample of 217 college students endorsing past-month cannabis and/or alcohol use (1% cannabis only, 42% alcohol only, 58% both), 83 students endorsing past-month cannabis and/or alcohol use for sleep aid (M_age = 19.33 [SD = 1.11], 30% male, 72% White) completed online questionnaires for 14 consecutive days to report daily sleep, substance use, and negative substance consequences.

RESULTS

Multilevel models demonstrated that nights of cannabis sleep aid use predicted longer same-night sleep duration, shorter same-night wake time after sleep onset, and greater next-day daytime fatigue within person, after controlling for daily cannabis frequency. Alcohol sleep aid use was not associated with sleep-related outcomes or negative drinking consequences after controlling for daily alcohol quantity; these null results may be due to a low frequency of alcohol sleep aid use (1% of observations) over 14 days of assessment.

CONCLUSIONS

Results highlight daytime fatigue as a potential adverse short-term outcome of cannabis sleep aid use, despite its proximal sleep-related benefits. (PsycINFO Database Record (c) 2019 APA, all rights reserved).