Using recreational cannabis to treat insomnia: Evidence from over-the-counter sleep aid sales in Colorado

The impact of cannabis use proximal to sleep and cannabinoid metabolites on sleep architecture

STUDY OBJECTIVES

Cannabis is a common sleep aid; however, the effects of its use prior to sleep are poorly understood. This study aims to determine the impact of nonmedical whole plant cannabis use 3 hours prior to sleep and measured cannabis metabolites on polysomnogram measures.

METHODS

This is a cross-sectional study of 177 healthy adults who provided detailed cannabis use history, underwent a 1-night home sleep test and had measurement of 11 plasma and urinary cannabinoids, quantified using mass spectroscopy, the morning after the home sleep test. Multivariable models were used to assess the relationship between cannabis use proximal to sleep, which was defined as use 3 hours before sleep, and individual home sleep test measurements. Correlation between metabolite concentrations and polysomnogram measures were assessed.

RESULTS

In adjusted models, cannabis use proximal to sleep was associated with increased wake after sleep onset (median 60.5 vs 45.8 minutes), rate ratio 1.59 (1.22, 2.05), and increased proportion of stage 1 sleep (median 15.2% vs 12.3%), effect estimate 0.16 (0.06, 0.25). Compared to nonusers, frequent cannabis users (> 20 days per month) also had increased wake after sleep onset and stage 1 sleep, in addition to increased rapid eye movement latency and decreased percent sleep efficiency. Δ9-tetrahydrocannabinol metabolites correlated with these home sleep test measures.

CONCLUSIONS

Cannabis use proximal to sleep was associated with minimal changes in sleep architecture. Its use was not associated with measures of improved sleep including increased sleep time or efficiency and may be associated with poor quality sleep through increased wake onset and stage 1 sleep.

CITATION

Althoff MD, Kinney GL, Aloia MS, Sempio C, Klawitter J, Bowler RP. The impact of cannabis use proximal to sleep and cannabinoid metabolites on sleep architecture. J Clin Sleep Med. 2024;20(10):1615-1625.

Health, safety, and socioeconomic impacts of cannabis liberalization laws: An evidence and gap map

Background

Globally, cannabis laws and regulations are rapidly changing. Countries are increasingly permitting access to cannabis under various decriminalization, medicalization, and legalization laws. With strong economic, public health, and social justice incentives driving these domestic cannabis policy reforms, liberalization trends are bound to continue. However, despite a large and growing body of interdisciplinary research addressing the policy-relevant health, safety, and socioeconomic consequences of cannabis liberalization, there is a lack of robust primary and systematic research that comprehensively investigates the consequences of these reforms.

Objectives

This evidence and gap map (EGM) summarizes the empirical evidence on cannabis liberalization policies. Primary objectives were to develop a conceptual framework linking cannabis liberalization policies to relevant outcomes, descriptively summarize the empirical evidence, and identify areas of evidence concentration and gaps.

Search Methods

We comprehensively searched for eligible English-language empirical studies published across 23 academic databases and 11 gray literature sources through August 2020. Additions to the pool of potentially eligible studies from supplemental sources were made through November 2020.

Selection Criteria

The conceptual framework for this EGM draws upon a legal epidemiological perspective highlighting the causal effects of law and policy on population-level outcomes. Eligible interventions include policies that create or expand access to a legal or decriminalized supply of cannabis: comprehensive medical cannabis laws (MCLs), limited medical cannabidiol laws (CBDLs), recreational cannabis laws (RCLs), industrial hemp laws (IHLs), and decriminalization of cultivations laws (DCLs). Eligible outcomes include intermediate responses (i.e., attitudes/behaviors and markets/environments) and longer-term consequences (health, safety, and socioeconomic outcomes) of these laws.

Data Collection and Analysis

Both dual screening and dual data extraction were performed with third person deconfliction. Primary studies were appraised using the Maryland Scientific Methods Scale and systematic reviews were assessed using AMSTAR 2.

Main Results

The EGM includes 447 studies, comprising 438 primary studies and nine systematic reviews. Most research derives from the United States, with little research from other countries. By far, most cannabis liberalization research focuses on the effects of MCLs and RCLs. Studies targeting other laws-including CBDLs, IHLs, and DCLs-are relatively rare. Of the 113 distinct outcomes we documented, cannabis use was the single most frequently investigated. More than half these outcomes were addressed by three or fewer studies, highlighting substantial evidence gaps in the literature. The systematic evidence base is relatively small, comprising just seven completed reviews on cannabis use (3), opioid-related harms (3), and alcohol-related outcomes (1). Moreover, we have limited confidence in the reviews, as five were appraised as minimal quality and two as low quality.

Authors’ Conclusions

More primary and systematic research is needed to better understand the effects of cannabis liberalization laws on longer-term-and arguably more salient-health, safety, and socioeconomic outcomes. Since most research concerns MCLs and RCLs, there is a critical need for research on the societal impacts of industrial hemp production, medical CBD products, and decriminalized cannabis cultivation. Future research should also prioritize understanding the heterogeneous effects of these laws given differences in specific provisions and implementation across jurisdictions.

The kids aren't alright: The effects of medical marijuana market size on adolescents

We exploit shocks to US federal enforcement policy to assess how legal medical marijuana market size affects youth marijuana use and consequences for youth traffic-related fatalities. Using hand-collected data on state medical marijuana patient rates to develop a novel measure of market size, we find that legal market growth increases youth marijuana use. Likely mechanisms are lower prices and easier access. Youth die more frequently from alcohol-involved car accidents, suggesting complementarities for youths. The consequences of marijuana legalization for youth are not immediate, but depend on how supply-side regulations affect production and prices.

Updates in the use of cannabis for insomnia

PURPOSE OF REVIEW

This review aims to summarize recent updates in the area of cannabis use for insomnia.

RECENT FINDINGS

Cannabis products have continued to become more potent, particularly in regard to delta-9- tetrahydrocannabinol (THC) concentration. Additionally, the use of cannabis has continued to become more accepted with less legal restrictions. The reported use of cannabis for relief of symptoms in sleep disorders appears to be increasing, however the specific effects of cannabinoids on sleep varies with cannabinoid type and concentration. Some evidence supports claims of efficacy of cannabinoids in sleep disorders such as insomnia, while other evidence is either lacking or in some cases contradictory. Regular cannabis use has been associated with withdrawal which can profoundly alter sleep. Also, clinicians should be aware of the potential effects of cannabis on the metabolism of other medications as well as the fact that cannabis use has been reported in a significant number of women in the periods before, during, and after pregnancy.

SUMMARY

Cannabis use has been becoming more and more prevalent in the setting of relaxed restrictions and easier consumer level access to cannabis and cannabis products. A relative paucity of high quality evidence regarding the effects of cannabis on sleep and the treatment of insomnia symptoms remains. The optimal type, concentration, ratio, and dosage form of cannabinoids in the treatment of insomnia symptoms needs further clarification. As the trend of acceptance and use of cannabis continues, more high quality evidence to help guide clinicians in their recommendations will hopefully become available.

Self-Reported Effects of Cannabis on ADHD Symptoms, ADHD Medication Side Effects, and ADHD-Related Executive Dysfunction

OBJECTIVE

People with ADHD are more likely to use cannabis but little is known about the effects of cannabis on ADHD symptoms, ADHD medication side effects, or ADHD-related executive dysfunction.

METHOD

Students (n = 1,738) completed an online survey containing measures of ADHD symptoms, cannabis use, perceived effects of cannabis on ADHD symptoms and medication side effects, as well as executive dysfunction.

RESULTS

Participants with ADHD who have used cannabis reported that cannabis has acute beneficial effects on many symptoms of ADHD (e.g., hyperactivity, impulsivity). Further, they perceived cannabis to improve most of their medication side effects (e.g., irritability, anxiety). Finally, cannabis use frequency was a significant moderator of the associations between symptom severity and executive dysfunction.

CONCLUSION

Results suggest people with ADHD may be using cannabis to self-medicate for many of their symptoms and medication side effects and that more frequent use may mitigate ADHD-related executive dysfunction.

The Effects of Cannabinoids on Sleep

The use of cannabis products to help with sleep and various other medical conditions by the public has increased significantly in recent years. Withdrawal from cannabinoids can lead to sleep disturbance. Here, we describe a patient who developed significant insomnia leading to worsening anxiety, mood, and suicidal ideation in the setting of medical cannabis withdrawal, prompting presentation to the Emergency Department and inpatient admission. There is a limited evidence base for the use of cannabis products for sleep. We provide a comprehensive review evaluating the literature on the use of cannabis products on sleep, including an overview of cannabis and related psychoactive compounds, the current state of the law as it pertains to the prescribing and use of these substances, and potential side effects and drug interactions. We specifically discuss the impact of cannabis products on normal sleep and circadian sleep-wake rhythms, insomnia, excessive daytime sleepiness, sleep apnea, parasomnias, and restless legs syndrome. We also describe the effects of cannabis withdrawal on sleep and how this increases relapse to cannabis use. Most of the studies are observational but the few published randomized controlled trials are reviewed. Our comprehensive review of the effects of cannabis products on normal sleep and sleep disorders, relevant to primary care providers and other clinicians evaluating and treating patients who use these types of products, shows that cannabis products have minimal to no effects on sleep disorders and may have deleterious effects in some individuals. Further research examining the differential impact of the various types of cannabinoids that are currently available on each of these sleep disorders is required.

Is cannabis use associated with prescription psychotropic and pain reliever medication and other substance use among individuals aged 50+ with mental illness?

BACKGROUND

Despite increasing rates of nonmedical and/or medical cannabis use in the 50+ age group, scant research exists on the associations between cannabis use and prescription medication use. In this study, we examined associations of use of prescription tranquilizers, sedatives, stimulants, and pain relievers, tobacco products, any/binge/heavy alcohol, and illicit drugs with cannabis use and use characteristics among U.S. adults aged 50+ years with past-year mental illness (n = 6454).

METHODS

Data are from the 2015-2019 National Survey on Drug Use and Health (NSDUH). We used logistic regression models to examine associations of past-month use of each substance with (1) cannabis use among all those with past-year mental illness, and (2) cannabis use characteristics among cannabis users, controlling for severity of mental illness and sociodemographic and health characteristics.

RESULTS

Of individuals aged 50+, 14.1 % had any past-year mental illness, and 9.7 % of those with mental illness, compared to 4.0 % of those without, reported past-month cannabis use. Compared to nonusers, cannabis users had higher odds of using each substance except antidepressants, with adjusted odds ratios ranging from 1.3 (sedatives) to 3.6 (illicit drugs). Compared to nonmedical cannabis users, medical users had 2-2.5 times higher likelihood of co-use of tranquilizers, sedatives, and prescription pain relievers but lower odds of binge and heavy alcohol use.

CONCLUSIONS

Cannabis users, especially medical cannabis users, are significantly more likely to use prescription psychotropic or pain medications. Healthcare professionals should assess for poly-substance use and potential adverse effects among older adults with mental illness.

Daily-level effects of alcohol, marijuana, and simultaneous use on young adults' perceived sleep health

STUDY OBJECTIVES

Simultaneous alcohol and marijuana (SAM) use is increasingly prevalent among young adults but has adverse health consequences. The current study examined daily-level associations between perceived sleep health and SAM use, relative to non-substance-use days and alcohol- or marijuana-only days. We also estimated linear associations between alcohol/marijuana use and perceived sleep health and explored whether effects were moderated by combined use of alcohol and marijuana.

METHODS

A community sample of SAM-using young adults (N=409; Mage=21.61, SD=2.17; 50.9% female; 48.2% White; 48.9% college students) completed twice-daily surveys for five 14-day sampling bursts. Daily measurements assessed substance use and perceived sleep health in terms of subjective sleep quality, negative impact of sleep on functioning, and symptoms of insomnia.

RESULTS

Multilevel models indicated that, relative to non-substance-use days, participants reported poorer perceived sleep health on alcohol-only days, better perceived sleep health on marijuana-only days, and mixed evidence regarding SAM use (i.e., fewer perceived symptoms of insomnia, but poorer perceived next day functioning attributed to sleep). Daily-level estimates showed increased alcohol use was associated with poorer perceived sleep health, while stronger effects from marijuana were associated with better perceived sleep health. Across all indices of sleep health, only one linear association was moderated by combined use: The adverse association between alcohol and next day functioning was weaker on days alcohol was combined with marijuana.

CONCLUSIONS

Findings provide additional evidence for daily-level effects of alcohol and marijuana use on perceived sleep health and address an important literature gap regarding potential adverse effects of SAM use.

Patterns of Concomitant Prescription, Over-the-Counter and Natural Sleep Aid Use over a 12-Month Period: A Population Based Study

STUDY OBJECTIVES

Concomitant patterns of sleep aid use may provide insight for understanding the transition to chronic sleep medication use. Therefore, we sought to characterize the trajectories of concomitant natural product (NP), over-the-counter (OTC), and prescribed (Rx) sleep aid use in a population-based sample over 12-months.

METHODS

Self-reported data on the use of NP, OTC, and Rx sleep aids were extracted from a Canadian longitudinal study on the natural history of insomnia (N=3416, M age = 49.7±14.7 years old; 62% women) at baseline, 6 months and 12 months. Latent class growth modeling was used to identify latent class trajectories using MPlus 7. Participants completed a battery of clinical measures: Ford Insomnia Response to Stress Test, abbreviated Dysfunctional Beliefs and Attitudes about Sleep Scale, Beck Depression Inventory, Insomnia Severity Index and, the Pittsburgh Sleep Quality Index. Associations between class membership and baseline covariates were evaluated.

RESULTS

Concurrent sleep aid use fell into six distinct latent class trajectories over a 12-month period: Minimal Use (74.5%), Rx-Dominant (11.3%), NP-Dominant (6.3%), OTC-Dominant (4.3%), Rx-NP-Dominant (2.4%), and Rx-OTC-Dominant (1.1%). The three latent classes with prominent prescribed agent use predicted greater incidence of healthcare professional consultations for their sleep (p< 0.05), poorer sleep quality (p< 0.001), elevated dysfunctional sleep beliefs (p< 0.001), and sleep reactivity (p< 0.001). Compared to the other four latent classes, clinical profiles of Rx-NP-dominant and Rx-OTC-dominant groups endorsed greater severity across measures.

CONCLUSIONS

Patterns of sleep aid use may provide insight for identifying individuals who may be vulnerable to inappropriate self-medicating practices.

Multitargeting the sleep-pain interaction with pharmacological approaches: A narrative review with suggestions on new avenues of investigation

The multimorbidity formed by sleep disturbances and pain conditions is highly prevalent and has a significant impact in global health and in the socioeconomic system. Although different approaches have been directed toward its management, evidence regarding an optimal treatment is lacking, and pharmacological options are often preferred. Health professionals (e.g., pain and sleep clinicians) tend to focus on their respective expertise, targeting a single symptom with a single drug. This may increase polypharmacy and the risk of drug interactions, adverse events, and mortality. Hence, the use of medications that can directly or indirectly improve sleep, pain, and other possible accompanying conditions without exacerbating them becomes especially relevant. The objectives of this comprehensive review are to: a) describe the beneficial or deleterious effects that some commonly used medications to manage pain have on sleep and sleep disorders; and b) describe the beneficial or deleterious effects that frequently prescribed medications for sleep may have on pain. Moreover, medications targeting some specific sleep-pain interactions will be suggested and future directions for improving sleep and alleviating pain of these patients will be provided with clinical and research perspectives.