Nonmedical versus medical marijuana use among three age groups of adults: Associations with mental and physical health status

A Cross Sectional Survey of Factors Related to Cannabis Use as a Sleep Aid Among Canadian Cancer Survivors

OBJECTIVES

Poor sleep is a common side effect of cancer. Cannabis is increasingly used to manage cancer treatment-related symptoms, including sleep. This study investigated factors related to cannabis use for sleep among Canadian cancer survivors.

METHOD

Adult Canadian cancer survivors (N = 940) were recruited via the Angus Reid Institute and completed an online, cross-sectional survey. Univariate and multiple binomial logistic regression models identified factors associated with cannabis use for sleep.

RESULTS

Of the participants (Mage = 64.5 yrs; Women = 51.1%; White = 92.9%), 25.1% (n = 236) currently use cannabis for sleep. Participants were at greater odds of using cannabis for sleep if they identified as a gender other than man or woman (AOR = 11.132), were diagnosed with multiple medical conditions (2:AOR = 1.988; 3+:AOR = 1.902), two psychological conditions (AOR = 2.171), multiple sleep disorders (AOR = 2.338), insomnia (AOR = 1.942), bone (AOR = 6.535), gastrointestinal (AOR = 4.307), genitourinary (AOR = 2.586), hematological (AOR = 4.739), or an unlisted cancer (AOR = 3.470), received hormone therapy only (AOR = 3.054), drink heavily (AOR = 2.748), or had mild insomnia (AOR = 1.828). Older participants (AOR=.972) and those with sleep apnea were less likely to use cannabis for sleep (AOR=.560).

CONCLUSION

Given its prevalence, research is needed to understand how factors associated with cannabis use as a sleep aid among Canadian cancer survivors may influence its use and effectiveness and whether these factors are barriers to accessing evidence-based treatments.

The Effects of Stigma: Older Persons and Medicinal Cannabis

Cannabis has long been stigmatized as an illicit drug. Since legalization in Canada for both medical and recreational purposes, older adults' cannabis consumption has increased more than any other age group. Yet, it is unclear how the normalization of cannabis has impacted perceptions of stigma for older adults consuming cannabis medicinally. Qualitative description was used to elucidate the experiences of older Canadians aged 60+ related to stigma and their consumption of cannabis for medicinal purposes. Data collection involved semi-structured interviews. Data analysis examined how participants managed stigma related to cannabis use. Perceived stigma was evident in many participants' descriptions of their perceptions of cannabis in the past and present, and influenced how they accessed and consumed cannabis and their comfort in discussing its use with their healthcare providers. Participants employed several distinct strategies for managing stigma-concealing, re-framing, re-focusing, and proselytizing. Findings suggest that while medical cannabis consumption is becoming increasingly normalized among older adults, stigma related to cannabis persists and continues to shape older adults' experiences. A culture shift needs to occur among healthcare providers so that they are educated about cannabis and willing to discuss the possibilities of medicinal cannabis consumption with older adults. Otherwise, older adults may seek advice from recreational or other non-medical sources. Healthcare providers require education about the use of medical cannabis, so they can better advise older adults regarding its consumption for medicinal purposes.

Exclusive Therapeutic Use of Cannabis in a Large Sample of Daily Cannabis Users in France: A Cross-Sectional Survey

Many cannabis users report therapeutic benefits from cannabis consumption, even when not recommended by a physician. To date, few data on therapeutic users of cannabis in France are available. Using a cross-sectional survey held in 2020, we collected sociodemographic, health and substance use data from 4150 daily cannabis users in France. We used multivariable logistic regression to assess factors associated with exclusive therapeutic use of cannabis. Approximately 10% (n = 453) of the participants reported using cannabis exclusively for therapeutic purposes. Exclusive therapeutic users of cannabis differed from non-exclusive (i.e. recreational and mixed) users, especially regarding age (aOR [95%CI] = 1.01 [1.00-1.02]), employment (aOR = 0.61 [0.47-0.79]), urban area of residence (aOR = 0.75 [0.60-0.94]), physical (aOR = 2.95 [2.34-3.70]) and mental health condition (aOR = 2.63 [1.99-3.49]), mode of cannabis administration (non-smoked, aOR = 1.89 [1.22-2.95); smoked with little tobacco, aOR = 1.39 [1.09-1.76]), frequency of cannabis use (aOR = 1.04 [1.01-1.06]), home cultivation (aOR = 1.56 [1.13-2.15]), at-ridsk alcohol use (aOR = 0.68 [0.54-0.84]), and previous-month opiate use (aOR = 1.67 [1.22-2.30]). A greater understanding of the distinct profiles of regular cannabis users could inform harm reduction strategies and care access for this population. Further studies are needed to better understand the boundaries between therapeutic and recreational use.

The impact of substance use on posttraumatic stress disorder symptoms and treatment discontinuation

This study examined the impact of ongoing substance use during posttraumatic stress disorder (PTSD) and substance use disorder (SUD) treatment on PTSD symptoms and treatment discontinuation. The study represents a secondary analysis of U.S. military veterans (N = 183) who participated in a randomized clinical trial for the treatment of both PTSD and SUD. Veterans mostly identified as Black (53.8%) or White (41.9%) and male (92.4%). Substance use, PTSD symptoms, and treatment discontinuation were measured at 4-week intervals throughout treatment. Predictors were the percentage of days with alcohol, cannabis, and other substance use (primarily cocaine and opioids) and the average number of alcoholic drinks per drinking day. Outcomes were PTSD symptoms and treatment discontinuation at concurrent and prospective assessments. Multilevel models accounted for the nested structure of the longitudinal data. Alcohol, cannabis, and other substance use did not predict PTSD symptoms or treatment discontinuation prospectively. Concurrently, we observed that as a participant's percentage of drinking days increased by 34.7% (i.e., 1 standard deviation), PTSD symptoms during the same period were 0.07 standard deviations higher (i.e., 1 point on the PCL), B = 0.03, p = .033. No other substances were related to PTSD symptoms concurrently. The findings demonstrate that PTSD symptoms improved regardless of substance use during exposure-based PTSD and SUD treatment, and treatment discontinuation was not associated with substance use. This study suggests that substance use during treatment cannot directly explain the poorer treatment outcomes observed in the literature on comorbid PTSD/SUD compared to PTSD-only populations.

Psychiatric and substance use disorders among adults over age 50 who use cannabis: A matched cohort study using electronic health record data

INTRODUCTION

Adults over age 50 increasingly use cannabis, but few studies have examined co-occurring psychiatric and substance use disorders (SUDs) in this population. The current study utilized electronic health record (EHR) data to compare adults age 50 + with ICD-10 cannabis codes (cases) and matched controls on common psychiatric and SUDs from 2016 to 2020.

METHOD

Patients age 50 + from an integrated healthcare system in Hawai'i were identified using ICD-10 codes for cannabis (use, abuse, and dependence) from 2016 to 2018. In a matched cohort design, we selected non-cannabis-using controls (matched on sex and age) from the EHR (n = 275) and compared them to cases (patients with an ICD-10 cannabis code; n = 275) on depressive and anxiety disorders and SUDs (i.e., tobacco, opioid, and alcohol use disorders) over a two-year follow-up period.

RESULTS

Participants were 62.8 years (SD = 7.3) old on average; and were White (47.8 %), Asian American (24.4 %), Native Hawaiian or Pacific Islander (19.3 %), or Unknown (8.5 %) race/ethnicity. Conditional multiple logistic regression was used to estimate odds ratios comparing cases vs controls. Participants with an ICD-10 cannabis code had a significantly greater risk of major depressive disorder (OR = 10.68, p < 0.0001) and any anxiety disorder (OR = 6.45, p < 0.0001), as well as specific anxiety or trauma-related disorders (e.g., generalized anxiety disorder, PTSD) and SUDs (ORs 2.72 - 16.00, p < 0.01 for all).

CONCLUSIONS

Over a two-year period, diverse adults age 50 + in Hawai'i with ICD-10 cannabis codes experienced higher rates of subsequent psychiatric and SUDs compared to controls. These findings can guide efforts to inform older adults about possible cannabis-related risks.

Cannabis use, decision making, and perceptions of risk among breastfeeding individuals: the Lactation and Cannabis (LAC) Study

OBJECTIVE

Our primary objective was to understand breastfeeding individuals' decisions to use cannabis. Specifically, we investigated reasons for cannabis use, experiences with healthcare providers regarding use, and potential concerns about cannabis use.

METHODS

We collected survey data from twenty breastfeeding participants from Washington and Oregon who used cannabis at least once weekly. We documented individuals' cannabis use and analyzed factors associated with their decisions to use cannabis during lactation. Qualitative description was used to assess responses to an open-ended question about potential concerns.

RESULTS

Fifty-five percent of participants (n = 11) reported using cannabis to treat or manage health conditions, mostly related to mental health. Eighty percent of participants (n = 16) reported very few or no concerns about using cannabis while breastfeeding, although participants who used cannabis for medical purposes had significantly more concerns. Most participants (n = 18, 90%) reported receiving either no or unhelpful advice from healthcare providers. Four themes arose through qualitative analysis, indicating that breastfeeding individuals are: 1) identifying research gaps and collecting evidence; 2) monitoring their child's health and development; 3) monitoring and titrating their cannabis use; and 4) comparing risks between cannabis and other controlled substances.

CONCLUSIONS

Breastfeeding individuals reported cannabis for medical and non-medical reasons and few had concerns about cannabis use during breastfeeding. Breastfeeding individuals reported using a variety of strategies and resources in their assessment of risk or lack thereof when deciding to use cannabis. Most participants reported receiving no helpful guidance from healthcare providers.

Cannabis use in the UK: a quantitative comparison of individual differences in medical and recreational cannabis users

There is a paucity of research, especially in the UK, that investigates individual differences in both medical and recreational cannabis users. A cross-sectional survey study design was used to assess recreational cannabis users and medical cannabis users currently living in the UK. Recreational cannabis users were invited to take part via social media. Medical cannabis users were recruited from Sapphire Medical Clinics, London, UK, which provides treatment with prescribed cannabis-based medicinal products. Demographic data and cannabis use frequency, as well as post-traumatic stress disorder symptoms (PCL-5), depression symptoms (Centre for Epidemiological Studies Depression Scale), trait and state anxiety (State-Trait Anxiety Inventory), and cannabis use motives [Comprehensive Marijuana Motives Questionnaire (CMMQ)] were collected. The Chi-square and independent-sample t-tests were used for the comparison of categorical variables and normally distributed continuous variables. Data were analyzed using analyses of variance (ANOVAs) and t-tests. Statistical significance was considered where the value of p was <0.05. The survey was completed by 161 participants. Medical cannabis users were older, consumed cannabis more often, had a higher "Sleep" motive on the CMMQ, and had a higher prevalence in self-reporting current diagnoses of neurological problems, mood disorders, and anxiety disorders (p < 0.05). Recreational cannabis users had higher scores on several motives for use (e.g., "Enjoyment," "Coping," "Experimentation," "Boredom," and "Celebration") and higher state anxiety scores (p < 0.05). The most common motives for cannabis use in both groups were "Enjoyment," "Low Risk," and "Sleep." There were no differences between groups in gender, "Low-Risk" motive, post-traumatic stress disorder symptoms, depression scores, trait anxiety scores, self-reported prevalence of substance use-related disorders, and past consumption of alcohol, tobacco, or caffeine (p > 0.05). The current study not only demonstrates a difference in age and motivations for cannabis consumption between recreational and medical cannabis users but also shows areas of potential overlap, including mental health outcomes, past substance use, and gender. These UK-specific findings indicate that recreational cannabis users experience higher state anxiety, highlighting the need for further evaluation of potential anxiogenic/anxiolytic properties of cannabis. These findings demonstrate the importance of researching individual differences in cannabis users and hold significant implications for future research, clinical practice, and legislation.

A preliminary study evaluating self-reported effects of cannabis and cannabinoids on neuropathic pain and pain medication use in people with spinal cord injury

Approximately 60% of individuals with a spinal cord injury (SCI) experience neuropathic pain, which often persists despite the use of various pharmacological treatments. Increasingly, the potential analgesic effects of cannabis and cannabinoid products have been studied; however, little research has been conducted among those with SCI-related neuropathic pain. Therefore, the primary objective of the study was to investigate the perceived effects of cannabis and cannabinoid use on neuropathic pain among those who were currently or had previously used these approaches. Additionally, the study aimed to determine if common pain medications are being substituted by cannabis and cannabinoids. Participants (N = 342) were recruited from existing opt-in listserv sources within the United States. Of those, 227 met the inclusion criteria and were enrolled in the study. The participants took part in an anonymous online survey regarding past and current use of cannabis and their perceived effects on neuropathic pain, including the use of pain medication. Those in the sample reported average neuropathic pain intensity scores over the past week of 6.8 ± 2.1 (0 to 10 scale), reflecting a high moderate to severe level of pain. Additionally, 87.9% noted that cannabis reduced their neuropathic pain intensity by more than 30%, and 92.3% reported that cannabis helped them to better deal with their neuropathic pain symptoms. Most participants (83.3%) also reported substituting their pain medications with cannabis, with the most substituted medication categories being opioids (47.0%), gabapentinoids (42.8%) and over-the-counter pain medications (42.2%). These preliminary results suggest that cannabis and cannabinoids may be effective in reducing neuropathic pain among those with SCI and may help to limit the need for certain pain medications.

Pre-Post Cannabis Legalization for Adult Use: A Trend Study of Two Cohorts of Young Adult Cannabis Users in Los Angeles

Cannabis was legalized for adult use in California in 2016 for individuals 21 and older. Among 18-20-years-olds, who can possess cannabis legally as medical cannabis patients (MCP) but not as non-patient cannabis users (NPU), the impact of adult use legalization (AUL) on cannabis and other substance use is unknown. Two cohorts of 18-20-year-old cannabis users (MCP and NPU) were surveyed, one in 2014-15 (n = 172 "pre-AUL") and another in 2019-20 (n = 139 "post-AUL"), using similar data collection methods in Los Angeles, California. Logistic and negative binomial regressions estimated cohort and MCP differences for cannabis and other drug use outcomes based on past 90-day use. In both pre- and post-AUL cohorts, MCP were more likely to self-report medical cannabis use (p < .001) while the post-AUL cohort reported greater use of edibles (p < .01), but fewer mean days of alcohol (p < .05) and cigarette (p < .01) use in multivariate models. Notably, frequency of cannabis use (days or hits per day) did not significantly differ between the pre- and post-AUL cohorts, except for greater use of edibles, despite potentially greater access to cannabis.

A longitudinal study of cannabis use and risk for cognitive and functional decline among older adults with HIV

Cannabis use is rapidly increasing among older adults in the United States, in part to treat symptoms of common health conditions (e.g., chronic pain, sleep problems). Longitudinal studies of cannabis use and cognitive decline in aging populations living with chronic disease are lacking. We examined different levels of cannabis use and cognitive and everyday function over time among 297 older adults with HIV (ages 50-84 at baseline). Participants were classified based on average cannabis use: frequent (> weekly) (n = 23), occasional (≤ weekly) (n = 83), and non-cannabis users (n=191) and were followed longitudinally for up to 10 years (average years of follow-up = 3.9). Multi-level models examined the effects of average and recent cannabis use on global cognition, global cognitive decline, and functional independence. Occasional cannabis users showed better global cognitive performance overall compared to non-cannabis users. Rates of cognitive decline and functional problems did not vary by average cannabis use. Recent cannabis use was linked to worse cognition at study visits when participants had THC+ urine toxicology-this short-term decrement in cognition was driven by worse memory and did not extend to reports of functional declines. Occasional (≤ weekly) cannabis use was associated with better global cognition over time in older adults with HIV, a group vulnerable to chronic inflammation and cognitive impairment. Recent THC exposure may have a temporary adverse impact on memory. To inform safe and efficacious medical cannabis use, the effects of specific cannabinoid doses on cognition and biological mechanisms must be investigated in older adults.

The Information-Seeking Behavior and Unmet Knowledge Needs of Older Medicinal Cannabis Consumers in Canada: A Qualitative Descriptive Study

INTRODUCTION

Older Canadians (age 60+) are increasingly using cannabis to treat their health problems, but little is known regarding how they learn about medicinal cannabis. This study explored the perspectives of older cannabis consumers, prospective consumers, healthcare professionals, and cannabis retailers on older adults' information-seeking behavior and unmet knowledge needs.

METHODS

A qualitative descriptive design was used. Semi-structured telephone interviews were conducted with a purposeful sample of 36 older cannabis consumers and prospective consumers, as well as 4 healthcare professionals and 5 cannabis retailers from across Canada, for a total sample of 45 participants. Data were thematically analyzed.

RESULTS

Three main themes characterizing older cannabis consumers' information-seeking were identified: (1) knowledge sources, (2) types of information sought, and (3) unmet knowledge needs. Participants accessed a variety of knowledge sources to inform themselves about medicinal cannabis. Cannabis retailers were identified as providing medical information to many older adults, despite regulations to the contrary. Cannabis-specialized healthcare professionals were also viewed as key knowledge sources, while primary care providers were perceived as both knowledge sources and gatekeepers limiting access to information. The types of information participants sought included the effects and potential benefits of medicinal cannabis, the side effects and risks involved, and guidance regarding suitable cannabis products. Participants' most salient unmet knowledge needs focused on dosing and use of cannabis to treat specific health conditions.

DISCUSSION

Findings suggest that barriers to learning about medical cannabis among older consumers identified in prior research remain pervasive and cut across jurisdictions. To address these barriers, there is a need for better knowledge products tailored to older cannabis consumers and their information needs, and further education for primary healthcare providers on medicinal cannabis and its therapeutic applications with older patients.

The effects of the 4/20 cannabis holiday and adult-use cannabis legalization on medical cannabis sales and medical cannabis patient registration in Arizona

BACKGROUND

This study examined whether the 4/20 cannabis holiday was associated with increases in medical cannabis sales from licensed dispensaries in Arizona from 2018-2021, and whether adult-use cannabis legalization (the vote in November 2020 and retail sales in January 2021) was associated with declines in medical cannabis sales and in the number of registered medical patients.

METHODS

Data came from the Arizona Medical Marijuana Program monthly reports from January 2018-December 2021. The reports show daily sales from licensed medical cannabis dispensaries (i.e., the number of medical cannabis dispensary transactions and the amount of cannabis sold in pounds), which we averaged by week, and show the number of registered medical cannabis patients each month. Autoregressive integrated moving average models were used to test changes in these outcomes associated with the 4/20 cannabis holiday and with legalization of adult-use cannabis.

RESULTS

During the week of the 4/20 cannabis holiday, medical cannabis dispensary transactions abruptly increased by an average of 2,319.4 transactions each day (95% CI: 1636.1, 3002.7), and the amount of medical cannabis sold increased by an average of 120.3 pounds each day (95% CI: 99.3-141.3). During the first week of adult-use cannabis sales in late January 2021, medical cannabis dispensary transactions abruptly decreased by an average of 5,073 transactions each day (95% CI: -5,929.5, -4216.7), and the amount of medical cannabis sold decreased by an average of 119.1 pounds each day (95% CI: -144.2, -94.0). Moreover, medical cannabis sales continued to gradually decline each week after the start of adult-use retail sales, with declines in sales preceding declines in registered patients. By December 2021, slightly over a year after the vote to legalize adult-use cannabis, the actual number of registered medical cannabis patients fell short of the forecasted number, had adult-use not been legalized, by 36.5%. Moreover, the number of medical dispensary transactions and the amount of medical cannabis sold fell short of expectations, had adult-use cannabis not been legalized, by 58% and 53%, respectively.

CONCLUSIONS

Findings document the blurred boundary between medical and non-medical cannabis use and are consistent with the possibility that medical cannabis legalization contributes to increases in adult cannabis use and dependence.

Neurogenetic and Epigenetic Aspects of Cannabinoids

Cannabis is one of the most commonly used and abused illicit drugs in the world today. The United States (US) currently has the highest annual prevalence rate of cannabis consumption in the world, 17.9% in individuals aged 12 or older, and it is on the rise. With increasing cannabis use comes the potential for an increase in abuse, and according to the Substance Abuse and Mental Health Services Administration (SAMHSA), approximately 5.1% of Americans had Cannabis Use Disorder (CUD) in 2020. Research has shown that genetics and epigenetics play a significant role in cannabis use and CUD. In fact, approximately 50-70% of liability to CUD and 40-48% of cannabis use initiation have been found to be the result of genetic factors. Cannabis usage and CUD have also been linked to an increased risk of psychiatric disorders and Reward Deficiency Syndrome (RDS) subsets like schizophrenia, depression, anxiety, and substance use disorder. Comprehension of the genetic and epigenetic aspects of cannabinoids is necessary for future research, treatment plans, and the production of pure cannabinoid compounds, which will be essential for FDA approval. In conclusion, having a better understanding of the epigenetic and genetic underpinnings of cannabis use, CUD, and the endocannabinoid system as a whole will aid in the development of effective FDA-approved treatment therapies and the advancement of personalized medicine.

Management site and level of health care for cannabis- and synthetic cannabinoid-related poison control center cases involving older adults, 2016-2019

Increasing numbers of older adults use cannabis and cannabis-derived products that can have adverse effects. This study examined management site and level of healthcare services for older adult poison control center cases involving cannabis products. Using the American Association of Poison Control Centers' (PCC) National Poison Data System, 2016-2019, we extracted the 3109 cases aged 50+ for which cannabis was the only or primary substance. Multinomial logistic regression models were fit to examine associations between specific cannabis forms and management/care site (on site [mostly at home], at a healthcare facility [HCF], or no follow-up due to referral refusal or leaving against medical advice) and level of healthcare services for cases managed at a HCF. The results show that between 2016 and 2019, PCC cannabis cases involving older adults increased twofold, largely due to cases of cannabidiol, edibles, and concentrated extracts. Plant form and synthetic cannabinoid cases declined substantially. Compared to plant forms, synthetic cannabinoid cases had 4.22 (95% CI = 2.59-6.89) greater odds of being managed at, rather than outside, a HCF and 2.17 (1.42-3.31) greater odds of critical care unit admission. Although e-cigarette cases, compared to plant form cases, had lower odds of being managed at a HCF, HCF-managed e-cigarette cases had 3.43 greater odds (95% CI = 1.08-10.88) of critical care unit admission. Synthetic cannabinoid cases also had 1.86 (95% CI = 1.03-3.35) greater odds of no follow-up, and the presence of a secondary substance was also a significant factor. Stricter regulations for listing chemical ingredients and providing safety guidelines are needed for cannabis-derived products.

Analyzing the Impact of Cannabinoids on the Treatment of Spinal Disorders

PURPOSE OF REVIEW

Cannabis is among the most used illicit substances globally, with medical applications, increased legalization, and shifting social attitudes leading to increased use in recent years. Cannabinoids are a group of psychoactive substances found within the cannabis plant, with the most common being Δ9-tetrahydrocannabinol and cannabidiol. Due to the high prevalence of use, it is increasingly important to evaluate the effects of cannabis and cannabinoids on spine patients, in both operative and nonoperative settings.

RECENT FINDINGS

Cannabis and cannabinoids may be effective in treating patients with chronic conditions such as back pain and spinal cord injuries. Longitudinal effects and implications on surgical outcomes and complications are poorly understood. High-quality, outcomes-focused research can inform approaches for clinicians to approach cannabis and cannabinoid use. Studies to elucidate the standardization of cannabis regimens can help develop guidelines for potential therapeutic applications. Cannabis and cannabinoids may be useful alternatives or additions for many spine patients, but future research is needed for recommendations to be determined. Our manuscript reviews the available literature regarding cannabis use and various spinal conditions, organizing our findings into the following narrative themes: (1) the management of chronic lower back pain, (2) perioperative outcomes, (3) cannabis use in general orthopaedic procedures, and (4) spinal cord injuries.

Characteristics of Mental Health and Substance Use Service Facilities for Older Adults: Findings from U.S. National Surveys

OBJECTIVES

To describe the characteristics of U.S. mental health and substance use service programs dedicated/tailored for older adults (age 65+).

METHODS

Data came from the 2012 and 2019 National Mental Health Services Survey (N-MHSS) and the National Survey of Substance Abuse Treatment Services (N-SSATS). Using Pearson χ2 and Fisher's exact tests, we compared the numbers/proportions of older-adult programs in 2012 and 2019 and examined differences between facilities with or without an older-adult program in 2019.

RESULTS

From 2012 to 2019, the percent of all mental health and substance use service facilities for adults that had a dedicated/tailored program for older adults increased significantly, from 20.7% to 28.9% for mental health facilities and from 7.1% to 24.8% for substance use facilities, with 101 mental health facilities and 53 substance use facilities serving older adults exclusively in 2019. Compared to facilities without an older-adult program, higher percentages of facilities with such a program offered treatment for co-occurring mental and substance use disorders and supplemental health and social care services.

CONCLUSIONS

Given the rapidly aging society, more accessible and affordable programs dedicated/tailored for older adults are needed. To achieve this goal and better meet older adults' needs, more detailed data on facility characteristics are needed to build the knowledge base on improving the treatment environment.

CLINICAL IMPLICATIONS

Programs for older adults should be designed to meet the complex needs of those with mental health and/or substance use problems and incorporate innovative service delivery models that can improve older adults' access.

Prevalence and correlates of cannabis use disorder among Australians using cannabis products to treat a medical condition

INTRODUCTION

Prior research has examined the prevalence and correlates of cannabis use disorder (CUD) in people who use cannabis; however, these are poorly described for people using cannabis for medical reasons.

METHODS

Data came from a 2018 to 2019 online, anonymous, cross-sectional survey of Australians reporting using either illicit or licit cannabis for medical reasons within the past year. Included were questions on demographics, current and lifetime patterns of cannabis use, clinical conditions for which medical cannabis was used, and individual criteria for CUD and cannabis withdrawal syndrome. Bayesian Horseshoe logistic regression models were used to identify covariates associated with meeting CUD DSM-5 conditions for any-CUD (≥2/11 criteria) and moderate-severe-CUD (≥4/11).

RESULTS

A total of 905 participants were included in the analysis. The majority (98%) used illicit cannabis products. Criteria for any-CUD criteria were met by 290 (32.0%), and 117 (12.9%) met criteria for moderate-severe-CUD. Tolerance (21%) and withdrawal (35%) were the most commonly met criteria. Correlates with the strongest association with CUD were inhaled route of administration [odds ratio (OR) = 2.96, 95% credible interval 1.11, 7.06], frequency of cannabis use (OR = 1.24, 1.11-1.35), proportion of cannabis for medical reasons (OR = 0.83, 0.74, 0.94), frequency of tobacco use (OR = 1.10, 1.03, 1.17), age (OR = 0.75, 0.64, 0.90) and pain as main clinical indication (OR = 0.58, 0.36, 1.00).

DISCUSSION AND CONCLUSIONS

Prevalence of CUD in medical cannabis users appears comparable to 'recreational' users, with many similar correlates. CUD was associated with using cannabis to treat mental health rather than pain conditions and inhaled over other routes of administration.

Considerations for Cannabinoids in Perioperative Care by Anesthesiologists

Increased usage of recreational and medically indicated cannabinoid compounds has been an undeniable reality for anesthesiologists in recent years. These compounds’ complicated pharmacology, composition, and biological effects result in challenging issues for anesthesiologists during different phases of perioperative care. Here, we review the existing formulation of cannabinoids and their biological activity to put them into the context of the anesthesia plan execution. Perioperative considerations should include a way to gauge the patient’s intake of cannabinoids, the ability to gain consent properly, and vigilance to the increased risk of pulmonary and airway problems. Intraoperative management in individuals with cannabinoid use is complicated by the effects cannabinoids have on general anesthetics and depth of anesthesia monitoring while simultaneously increasing the potential occurrence of intraoperative hemodynamic instability. Postoperative planning should involve higher vigilance to the risk of postoperative strokes and acute coronary syndromes. However, most of the data are not up to date, rending definite conclusions on the importance of perioperative cannabinoid intake on anesthesia management difficult.

Medical Cannabis and Past-Year Cannabis Use Disorder Among Adult Recreational Users in the United States: Results From a Nationally Representative Sample

INTRODUCTION

With the increasing number of cannabis users and more jurisdictions allowing medical cannabis, more evidence-based knowledge about the prevalence of cannabis use disorder (CUD) among medical users is greatly needed.

OBJECTIVES

To examine and compare the prevalence and severity of CUD and the prevalence of different CUD criteria among two groups: those who combine recreational and medical use vs. those who exclusively use cannabis recreationally. To examine the association between CUD and sociodemographic characteristics, medical conditions, and psychiatric comorbidities between these two groups.

METHODS

The National Epidemiological Survey on Alcohol and Related Conditions III data were used, a US nationally representative in-person interview of 36,309 adults aged ≥18 years collected in 2012-2013. The statistical examination included proportion comparison hypothesis testing and linear regressions, all using complex survey design analysis procedures.

RESULTS

Recreational users who used cannabis also for medical purposes had a higher prevalence of CUD in general, as well as mild and moderate CUD than users who used cannabis only for recreational purposes. CUD is more prevalent in recreational, medical users with the following characteristics: young, male, non-white, living in the Midwest, using a greater amount of cannabis, having a concurrent mental disorder, and had CUD before the past year.

CONCLUSION

Recreational, medical cannabis users have a higher likelihood of having CUD. Although the results should be taken with caution, given the lack of established validity of CUD among medical users, health care professionals who prescribe or recommend the use of cannabis for medical purposes should take this into consideration while evaluating the risks/benefits ratio of cannabis. They need to assess patients' recreational cannabis use, screen for CUD, and educate users about the possible complications caused by cannabis use.

Cannabis Use and Misuse in Older Adults

Cannabis is the most frequently used illegal psychoactive substance by older adults. With population aging, legalization and medicalization of cannabis, and changes in perceptions of older adults toward its use, recreational and medical cannabis use/misuse is on the rise in seniors. Although there are solid data related to the adverse events of cannabis in older adults, efficacy data are lacking. Older adults are at increased risk of developing cannabis use disorder alongside other medical and psychiatric comorbidities. We review the benefits and risks associated with cannabis use, and screening and management strategies for cannabis use disorder in older adults.

Attitudes and beliefs about recreational cannabis legalization among cannabis-using young adults in Los Angeles: Impact on concurrent cannabis practices and problematic cannabis use

BACKGROUND

This study investigated differences in attitudes and beliefs about recreational cannabis legalization (RCL) among cannabis-using young adults comprised of medical cannabis patients (MCP) and non-patient users (NPU). We further investigated whether these variations are associated with concurrent cannabis practices and problematic use.

METHOD

Cannabis-using young adults (N = 301) were interviewed between 2017 and 2018 - after RCL and through the early months after storefront sales began. Latent class analysis empirically derived groups based on participants' attitudes/beliefs about the impact of RCL. Socio-demographic factors, patient status, medicinal and/or recreational use, and social norms differentiated latent class memberships, while concurrent cannabis practices and problematic use served as distal outcomes. The manual Bolck, Croon, and Hagenaars (BCH) three-step process modeled all covariates and distal outcomes simultaneously in the final LCA solution.

RESULTS

Three patterns emerged: Impacted (RCL had broad impact on attitudes/beliefs) (n = 113), Partially-Impacted (RCL had some impact on attitudes/beliefs) (n = 131) and Neutral (RCL had no/limited impact) (n = 57). MCP were more likely to be Neutral than Partially-Impacted users while those who reported recreational cannabis use were more likely to be Impacted than Neutral users. Class membership predicted cannabis practices and problematic use with Impacted individuals reporting the greatest recent days of use, number of hits per day, and highest scores in problematic cannabis use compared to Partially-Impacted and Neutral users.

CONCLUSION

Variability in attitudes/beliefs about RCL served as strong drivers of concurrent cannabis practices and problematic use. Findings provide an important baseline for tracking attitudes/beliefs' long-term health and substance use impact as retail cannabis sales evolve.

Why do Americans use marijuana?

BACKGROUND

Marijuana is the most commonly used illicit drug in the United States; yet, little is known about why adults use it. We examined the prevalence of past-month marijuana use by users' reasons for use-medical, recreational, and both-and identified correlates of each group.

METHODS

Data from 20 states, which participated in the 2017-2019 Behavioral Risk Factor Surveillance System and fielded the marijuana use module, and multinomial logistic regression analysis were used to identify risk factors for past-month marijuana use by reason for use. User profiles were developed to illustrate how states' policy environments influenced reported reasons for use.

RESULTS

The average predicted probabilities of past-month marijuana use for medical, recreational, and both reasons were 28.6 %, 38.2 %, and 33.1 %, respectively. Age, gender, marital and employment status, income, mode and frequency of administration, and health status were associated with reasons for use. The reasons that young adult males who were infrequent marijuana users and binge drinkers gave for their marijuana use varied by state policy environment-in legal states, the average predicted probabilities were 5.3 % lower for recreational reasons and 5.0 % higher for both reasons. Reported reasons for past-month marijuana use did not significantly differ by state policy environment among daily users who were older women in poor mental and physical health.

DISCUSSION

Significant differences existed in the characteristics of past-month marijuana users by reasons for use. Our estimates can serve as a baseline against which post-legalization marijuana users' reasons for use can be compared as state policy environments shift.

Progression of cannabis withdrawal symptoms in people using medical cannabis for chronic pain

BACKGROUND AND AIMS

Research from cohorts of individuals with recreational cannabis use indicates that cannabis withdrawal symptoms are reported by more than 40% of those using regularly. Withdrawal symptoms are not well understood in those who use cannabis for medical purposes. Therefore, we prospectively examined the stability of withdrawal symptoms in individuals using cannabis to manage chronic pain.

DESIGN, SETTING, PARTICIPANTS

Using latent class analysis (LCA) we examined baseline cannabis withdrawal to derive symptom profiles. Then, using latent transition analysis (LTA) we examined the longitudinal course of withdrawal symptoms across the time points. Exploratory analyses examined demographic and clinical characteristics predictive of withdrawal class and transitioning to more or fewer withdrawal symptoms over time. A cohort of 527 adults with chronic pain seeking medical cannabis certification or re-certification was recruited between February 2014 and June 2015. Participants were recruited from medical cannabis clinic waiting rooms in Michigan, USA. Participants were predominantly white (82%) and 49% identified as male, with an average age of 45.6 years (standard deviation = 12.8).

MEASUREMENTS

Baseline, 12-month and 24-month assessments of withdrawal symptoms using the Marijuana Withdrawal Checklist-revised.

FINDINGS

A three-class LCA model including a mild (41%), moderate (34%) and severe (25%) symptom class parsimoniously represented withdrawal symptoms experienced by people using medical cannabis. Stability of withdrawal symptoms using a three-class LTA at 12 and 24 months ranged from 0.58 to 0.87, with the most stability in the mild withdrawal class. Younger age predicted greater severity and worsening of withdrawal over time.

CONCLUSIONS

Adults with chronic pain seeking medical cannabis certification or re-certification appear to experience mild to severe withdrawal symptoms. Withdrawal symptoms tend to be stable over a 2-year period, but younger age is predictive of worse symptoms and of an escalating withdrawal trajectory.

Building risk prediction models for daily use of marijuana using machine learning techniques

Identifying the characteristics of adults with recent marijuana use is limited by standard statistical methods and requires a unique approach. The objective of this study is to evaluate the efficiency of machine learning models in predicting daily marijuana use and identify factors associated with daily use among adults. The study analyzed pooled data from the 2016-2019 Behavioral Risk Factor Surveillance System (BRFSS) Survey in 2020. Prediction models were developed using four machine learning algorithms, including Logistic Regression, Decision Tree, and Random Forest with Gini function, and Naïve Bayes. Respondents were randomly divided into training and testing samples. The performance of all the models was compared using accuracy, AUC, precision, and recall. The study included 253,569 respondents, of whom 10,182 (5.9 %) reported daily marijuana use in the last 30 days. Of daily marijuana use, 53.4 % were young adults (age 18-34 years), 34.3 % female, 56.1 % non-Hispanic White, 15.2 % were college graduates, and 67.3 % were employed. Random Forest was the best performing model with AUC 0.97, followed by a Decision tree (AUC 0.95). The most important factors for daily marijuana use were the current use of e-cigarette and combustible cigarette use, male gender, unmarried, poor mental health, depression, cognitive decline, abnormal sleep pattern, and high-risk behavior. Data mining methods were useful in the discovery of behavior health-risk knowledge and to visualize the significance of predicting modeling from a multidimensional behavioral health survey.

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.

The Effects of Cannabis Use on Cognitive Function in Healthy Aging: A Systematic Scoping Review

BACKGROUND

Older adults (≥50 years) represent the fastest-growing population of people who use cannabis, potentially due to the increasing promotion of cannabis as medicine by dispensaries and cannabis websites. Given healthy aging and cannabis use are both associated with cognitive decline, it is important to establish the effects of cannabis on cognition in healthy aging.

OBJECTIVE

This systematic scoping review used preferred reporting items for systematic reviews and meta-analyses guidelines to critically examine the extent of literature on this topic and highlight areas for future research.

METHOD

A search of six databases (PubMed, EMBASE, PsycINFO, Web of Science, Family and Society Studies Worldwide, and CINAHL) for articles published by September 2019, yielded 1,014 unique results.

RESULTS

Six articles reported findings for older populations (three human and three rodent studies), highlighting the paucity of research in this area. Human studies revealed largely null results, likely due to several methodological limitations. Better-controlled rodent studies indicate that the relationship between ∆9-tetrahydrocannabinol (THC) and cognitive function in healthy aging depends on age and level of THC exposure. Extremely low doses of THC improved cognition in very old rodents. Somewhat higher chronic doses improved cognition in moderately aged rodents. No studies examined the effects of cannabidiol (CBD) or high-CBD cannabis on cognition.

CONCLUSIONS

This systematic scoping review provides crucial, timely direction for future research on this emerging issue. Future research that combines neuroimaging and cognitive assessment would serve to advance understanding of the effects of age and quantity of THC and CBD on cognition in healthy aging.

Cannabis based medicines and cannabis dependence: A critical review of issues and evidence

Cannabis has been legalised for medical use in an ever-increasing number of countries. A growing body of scientific evidence supports the use of medical cannabis for a range of therapeutic indications. In parallel with these developments, concerns have been expressed by many prescribers that increased use will lead to patients developing cannabis use disorder. Cannabis use disorder has been widely studied in recreational users, and these findings have often been projected onto patients using medical cannabis. However, studies exploring medical cannabis dependence are scarce and the appropriate methodology to measure this construct is uncertain. This article provides a narrative review of the current research to discern if, how and to what extent, concerns about problems of dependence in recreational cannabis users apply to prescribed medical users. We focus on the main issues related to medical cannabis and dependence, including the importance of dose, potency, cannabinoid content, pharmacokinetics and route of administration, frequency of use, as well as set and setting. Medical and recreational cannabis use differs in significant ways, highlighting the challenges of extrapolating findings from the recreational cannabis literature. There are many questions about the potential for medical cannabis use to lead to dependence. It is therefore imperative to address these questions in order to be able to minimise harms of medical cannabis use. We draw out seven recommendations for increasing the safety of medical cannabis prescribing. We hope that the present review contributes to answering some of the key questions surrounding medical cannabis dependence.

Marijuana use/nonuse among those aged 50+: comparisons of use-to-nonuse, initiation/reinitiation, and continued use over 24 months

OBJECTIVES

To examine: (1) correlates of use-to-nonuse (use 13-24 months ago, but no past-year use), initiation/reinitiation (no use 13-24 months ago, but past-year use), and continued use over a 24-month period; and (2) associations of past-year marijuana use disorder with use/nonuse among older adults.

METHOD

The 2015-2017 National Survey on Drug Use and Health provided data (N = 26,322 aged 50+). We used multinomial and binary logistic regression analyses to compare users-to-nonusers and initiators/reinitiators to continued users (N = 2304).

RESULTS

In the 50-64 age group, 2.1% were users-to-nonusers, 2.2% initiators/reinitiators, and 7.2% continued users. In the 65+ age group, the corresponding percentages were 0.7%, 0.7%, and 2.4%. Residence in states with medical marijuana laws, nicotine dependence, and other illicit drug use were associated with a lower likelihood of use-to-nonuse than continued use. Alcohol use disorder was associated with a higher likelihood of initiation/reinitiation. Parole/probation status was associated with higher likelihood of use-to-nonuse. Moderate/great marijuana risk perceptions were associated with a higher likelihood of both use-to-nonuse and initiation/reinitiation. The odds of marijuana use disorder did not differ between continued users and initiators/reinitiators or between medical and recreational users.

CONCLUSION

Most older users continued using over 24 months. Substantial numbers had marijuana and other substance use problems that require treatment.

Mental health treatment use among cannabis users aged 50+: Associations with cannabis use characteristics

BACKGROUND

This study examined associations of mental health treatment use and perceived treatment need with cannabis use characteristics (medical vs. nonmedical use, initiation age, use frequency, and cannabis use disorder) among past-year cannabis users aged 50+.

METHODS

Data came from the 2015-2019 National Survey of Drug Use and Health (N = 44,007). After comparing past-year cannabis users with nonusers and nonmedical users with medical users on sociodemographic and health-related factors, the research questions were examined with logistic regression models.

RESULTS

In addition to mental disorders, medical use, compared to nonmedical use, was associated with higher odds of psychotherapeutic prescription medication use (AOR = 1.47, 95 % CI = 1.07-2.01) and any mental health treatment (prescription medication, outpatient care and/or inpatient care) (AOR = 1.51, 95 % CI = 1.13-2.03). Compared to 1-29 days of use, nonmedical users who used on 100-199 days (AOR = 0.60, 95 % CI = 0.40-0.89) and medical users who used on 200-365 days users (AOR = 0.48, 95 % CI = 0.26-0.87) had lower odds of treatment receipt. Factors associated with increased odds of receiving treatment included discussion with a healthcare professional about drug use, higher education, and having health insurance. Other illicit drug use, chronic illnesses, and female gender were associated with higher odds of perceived treatment need, while having health insurance was associated with lower odds.

CONCLUSIONS

Some older adults may use medical cannabis as an adjunct to professional mental health treatment while others may use it as a substitute. Affordability and accessibility gaps followed by cultural and personal sense of stigma and self-sufficiency beliefs appear to be barriers to receiving professional care.

Changes in Medical Cannabis Patient Status before and after Cannabis Legalization in California: Associations with Cannabis and Other Drug Use

It is unknown how patterns of cannabis and other drug use changed among young adult cannabis users as they became, exited or stayed medical cannabis patients (MCPs) after California legalized cannabis for adult use in 2016. A cohort of 18-26 year-old cannabis users was recruited in Los Angeles in 2014-15 (64.8% male; 44.1% Hispanic/Latinx). Based on wave 1 (pre-legalization) and wave 4 (post-legalization) MCP status, four transition groups emerged: MCP, Into MCP, Out of MCP and NPU (non-patient user). Relationships between self-reported medical cannabis use, transition group membership, and cannabis/other drug use outcomes were examined. Changes in cannabis practices were consistent with changes in MCP status. Cannabis days, concentrate use, self-reported medical cannabis use and driving under influence of cannabis were highest among MCP, increased for Into MCP, and decreased for Out of MCP in wave 4. A majority of drug use outcomes decreased significantly by wave 4. Self-reported medical cannabis use was associated with more frequent cannabis use but less problematic cannabis and other drug use. Future studies should continue to monitor the impact of policies that legalize cannabis for medical or recreational use, and medical motivations for cannabis use on young adults' cannabis and other drug use.

Prescription Opioid Misuse Motives in US Older Adults

OBJECTIVES

To evaluate age-based differences in prescription opioid misuse (POM) motives and to evaluate substance use and mental and physical health correlates of POM motive categories in older adults.

DESIGN

Data were from the National Survey on Drug Use and Health (NSDUH), a nationally representative US survey.

SETTING

The NSDUH is a household survey.

SUBJECTS

A total of 5,826 US residents with past-year POM; 415 were 50 years and older (7.1%).

METHODS

Nine POM motives were assessed among those engaged in past-year POM, grouped into three categories: solely physical pain relief, solely non-pain relief, or mixed motives. Prevalence of POM motives were calculated by age group, with logistic models examining age-based differences. Finally, odds of substance use and mental and physical health correlates by motive category were calculated via logistic models in older adults.

RESULTS

POM motivated solely by physical pain relief increased from 35.1% in young adults to 65.4% in older adults; in older adults, 84.7% of POM episodes involved pain relief as a motive. POM for solely non-pain relief or mixed motives was associated with greater odds, vs pain relief only, of past-year benzodiazepine misuse (odds ratio [OR] = 4.43 and 6.15, respectively), any substance use disorder (OR = 5.57 and 5.60, respectively), and suicidal ideation (OR = 4.05 and 3.56, respectively) in older adults.

CONCLUSIONS

. POM motives change over the lifespan, with increasing POM for pain relief with aging. Comprehensive nonopioid pain management is needed for those engaged in POM for pain relief, and substance use and mental health treatment are needed for those with non-pain relief motives.

Comparing older nonmedical and medical cannabis users: health-related characteristics, cannabis use patterns, and cannabis sources

Background: US epidemiologic data show that nearly one in 10 individuals aged 50+ report past-year cannabis use, and nearly one in five users report medical use. However, research on older cannabis users, especially medical cannabis users, is scant.Objectives: We examined medical and nonmedical cannabis users aged 50+ on health-related characteristics, cannabis use patterns, and cannabis sources. Hypotheses were that compared to nonmedical users, medical users are more likely to have physical and mental health problems, use healthcare services, discuss their drug use with a healthcare professional, use cannabis more frequently, and purchase cannabis from a medical dispensary and other sources rather than obtain it as a gift, share someone else's, or use other means.Methods: We used 2018 and 2019 National Survey on Drug Use and Health data (N = 17,685 aged 50+; male = 8,030; female = 9,655). Hypotheses were tested using logistic regression analysis.Results: The past-year cannabis use rate was 8.9%. Of past-year users, 18.5% reported medical use. Compared to nonmedical use, medical use was associated with lower odds of alcohol use disorder but higher odds of discussing drug use with a healthcare professional (AOR = 4.18, 95% CI = 2.53-6.89), high-frequency use (e.g., AOR = 2.56, 95% CI = 1.35-4.86 for 200-365 days), and purchase at a medical cannabis dispensary (AOR = 4.38, 95% CI = 2.47-7.76).Conclusion: Medical and nonmedical users did not differ on physical and most behavioral health indicators. Most obtained cannabis from private/informal sources. Some medical users are likely to self-treat without healthcare professional consultation. Healthcare professionals should engage older adults in discussions of cannabis use and behavioral health needs.

Why Young Adults Obtain a Medical Marijuana Card: Associations with Health Symptoms and Heaviness of Use

Objective.

Prior studies documenting more frequent and problematic use among young adults who have acquired medical marijuana (MM) cards have broadly compared those who use medically to those who use recreationally. Gaining a better picture of how health symptoms and problematic use vary both within those who have a MM card for specific condition domains and between those who do not have a MM card can provide key information for medical practitioners and states interested in adopting or updating MM policies.

Method.

The current study categorizes young adults authorized to use MM into three mutually exclusive groups based on endorsements of qualifying conditions: (1) Physical Health only (e.g., AIDS, arthritis, cancer; n = 34); (2) Behavioral Health only (e.g., anxiety, depression, sleep problems; n = 75); and (3) Multiple Conditions (a physical and behavioral health condition; n = 71). Multiple and logistic regression models examined differences across marijuana use, problems, mental health, physical health, and sleep quality for MM condition categories and for those that only use marijuana recreationally (n = 1,015).

Results.

After adjusting for socio-demographic factors (age, sex, sexual orientation, educational status, employment status, race/ethnicity, mother’s education, prior intervention involvement in youth), MM card holders, particularly those with physical health or multiple health conditions, reported heavier, more frequent, and more problematic and risky marijuana use compared to those using recreationally. Despite this pattern, those in different MM condition categories were generally not found to be more symptomatic in domains of mental or physical health relevant to their respective conditions, compared to different category groups or to those using recreationally.

Conclusions.

Findings emphasize the importance of providers conducting a careful assessment of reasons for needing a card, along with use, to reduce potential harms while adding credibility to a medical movement with genuine promise of relief for many medical conditions.

Cannabis use, use frequency, and use disorder in large metropolitan, small metropolitan, and nonmetropolitan areas

BACKGROUND

Despite significant geographical heterogeneity of sociodemographic and clinical characteristics, little is known about potential differences in cannabis use behaviors in U.S. geographic areas. In this study, we examined cannabis use behaviors in large metropolitan, small metropolitan, and nonmetropolitan areas. We focused on interactions between geographic areas and health insurance status and medical cannabis laws (MCL).

METHODS

Data came from the 2015-2018 National Survey on Drug Use and Health (NSDUH; N = 171,766 adults; N = 36,175 cannabis users). Weighted chi-squares tests of independence and multivariable Poisson regression models were used to examine study questions.

RESULTS

Past-year use was highest in large metropolitan areas (16.08 %). Frequent use was highest among nonmetropolitan area users (48.67 %). Uninsured adults had a higher likelihood of past-year use (RRR = 1.21, 95 % CI = 1.14, 1.29) and frequent use (RRR = 1.27, 95 % CI = 1.14, 1.41), but a lower likelihood of cannabis use disorder (RRR = 0.77, 95 % CI = 0.66, 0.89). Uninsured adults in nonmetropolitan areas had a higher likelihood (RRR = 1.62, 95 % CI = 1.39, 1.88) of past-year use than insured nonmetropolitan area adults. MCL state residency was associated with a higher likelihood of frequent use among nonmetropolitan (RRR = 1.39, 95 % CI = 1.11, 1.74) and small metropolitan users (RRR = 1.30, 95 % CI = 1.15, 1.47). Cannabis use disorder likelihood did not vary by geographic area.

CONCLUSIONS

Lack of health insurance and MCL state residency are significant variables affecting cannabis use behaviors in small metropolitan and/or nonmetropolitan areas.

Cannabidiol (CBD) and other drug use among young adults who use cannabis in Los Angeles

INTRODUCTION

Cannabidiol (CBD) is purportedly a promising therapeutic agent to provide relief for a variety of medical conditions with mild or no psychoactive effects. However, little is known about young adults who use cannabis and CBD-dominant products, and associations between CBD use and other drug use.

METHODS

Young adults (aged 24-32) who currently used cannabis (n = 239) were surveyed in Los Angeles in March 2019 through March 2020. The sample was divided into CBD-dominant (at least 1:1 CBD:THC ratio) and THC-dominant product users. We described CBD forms, reasons and conditions for CBD use and examined between-group differences in sociodemographic characteristics, cannabis practices, health and other drug use.

RESULTS

CBD-dominant users were more likely to be female, use cannabis at lower frequency and amount (except for edible/drinkable/oral products), self-report medical motivation for cannabis use, use cannabis for pain and report more health problems. Oil, flower, topicals and sprays/drops/tinctures were the most prevalent CBD forms. Psychological problems and pain were commonly reported conditions and medical reasons for CBD use. CBD-dominant users were more likely to report illicit drug use, where psilocybin use was markedly different between the two groups.

CONCLUSIONS

CBD use was associated with health histories and motivations linked to pain and psychological problems. Positive association between CBD use and illicit drug use may indicate self-medication for psychological conditions. Future studies should evaluate the effectiveness of various CBD forms and dose regimens for treatment of pain and psychological problems, and as a potential intervention for decreasing other drug use and associated harms.

Prescription Pain Reliever Use and Misuse among Cannabis Users Aged 50+ Years

Objectives: To examine rates and correlates of dual cannabis and prescription pain reliever (PPNR) use and misuse among U.S. individuals aged 50+ who reported past-year cannabis use. Methods: Using the 2015-2018 National Survey of Drug Use and Health, we examined cannabis nonuse/use and PPNR nonuse/use/misuse among all 35,229 respondents, and then focused on 2,632 past-year cannabis users to examine the risk of PPNR use but no misuse and the risk of PPNR misuse, compared to PPNR nonuse. Results: More than one-half of older cannabis users used PPNR in the past year. Multinomial logistic regression results show that the risks of PPNR use/no misuse and PPNR misuse were higher among those who had more chronic medical conditions and a major depressive episode. The risk of PPNR use/no misuse was also associated with high frequency and medical cannabis use. The risk of PPNR misuse was also associated with younger cannabis initiation age and cannabis and other illicit drug use disorders. Conclusions: Correlates of dual cannabis and PPNR use/misuse among older adults are poor physical and mental health problems and problematic cannabis use. Clinical Implications: Older adults with cannabis and PPNR misuse need access to evidence-based treatment, including medication-assisted treatment when needed.

Rate of cannabis use in older adults with cancer

OBJECTIVES

Older adults with cancer are increasingly inquiring about and using cannabis. Despite this, few studies have examined cannabis use in patients with cancer aged 65 years and older as a separate group and identified characteristics associated with use. The current study sought to determine the rate of cannabis use in older adult patients with cancer and to identify demographic and clinical correlates of use.

METHODS

We conducted a retrospective review of patients with cancer referred for specialised symptom management between January 2014 and May 2017 who underwent routine urine drug testing for tetrahydrocannabinol as part of their initial clinic visit.

RESULTS

Approximately 8% (n=24) of patients with cancer aged 65 years and older tested positive for tetrahydrocannabinol compared with 30% (n=51) of young adults and 21% (n=154) of adults. At the univariate level, more cannabis users had lower performance status than non-users (p=0.02, Fisher's exact test). There were no other demographic and clinical characteristics significantly associated with cannabis use in older adults.

CONCLUSIONS

Older adult patients made up nearly 25% (n=301) of the total sample and had a rate of cannabis use of 8%. As one of the first studies to assess cannabis use via objective testing rather than self-report, this study adds significantly to the emerging literature on cannabis use in people aged 65 years and older. Findings suggest the rate of use in older adults living with cancer is higher than that among older adults in the general population.

Overlapping patterns of recreational and medical cannabis use in a large community sample of cannabis users

BACKGROUND

Regulatory changes are increasing access to both medical cannabis and cannabis in general. As such, understanding patterns of recreational and medical cannabis use is a high public health priority.

OBJECTIVES

Patterns of cannabis use (recreational and medical), other substance use, and psychiatric symptoms were characterized in a large sample of community adult cannabis users in Canada, prior to federal cannabis legalization.

METHODS

This was a self-report assessment of 709 cannabis users (Mean age = 30.19 (11.82) years; 55.01% female). Patterns of overall substance use and psychiatric symptomatology were compared based on recreational/medical cannabis status.

RESULTS

Overall, 61.4% of participants endorsed exclusively recreational use, while 38.6% reported some level of medical use. Of all medical users, only 23.4% reported authorization from a health professional. Recreational cannabis users typically reported infrequent use (less than weekly), whereas medical users modally reported daily use. Compared to recreational users, medical users reported more problematic cannabis use in addition to greater psychiatric symptomatology (anxiety, depression and trauma). Interestingly, a large majority of medical users also reported using recreationally (80.6%), while exclusive medical use was less common (19.3%). This dual motives group reported more daily cannabis use and more alcohol and tobacco use. Compared to medical-only users, individuals using cannabis for both medical and recreational purposes more often used cannabis to treat psychiatric conditions.

CONCLUSIONS

These findings reveal the differences in cannabis use patterns and preferences between recreational and medical users, and even within medical users. In particular, dual motives individuals, who use cannabis for both positively and negatively reinforcing purposes, may warrant special attention as a subpopulation.

Older marijuana users in substance abuse treatment: Treatment settings for marijuana-only versus polysubstance use admissions

OBJECTIVE

Growing numbers of older adult marijuana users make understanding the marijuana-related treatment needs and treatment-related characteristics of this age group increasingly important. In this study, we examined four types of marijuana-involved admissions (marijuana as the only substance; marijuana as the primary substance with other secondary/tertiary substances; marijuana as the secondary substance; and marijuana as the tertiary substance) by treatment setting.

METHODS

Data came from the 2012-2017 Treatment Episode Data Set-Admissions (TEDS-A), which includes 851,652 admissions by those aged 55+. Using multinomial logistic regression analysis, we focused on the 120,286 marijuana-involved admissions to test the hypothesis that polysubstance use would be associated with a higher likelihood of using detoxification and rehabilitation settings than ambulatory/outpatient settings.

RESULTS

Of all marijuana-involved admissions, 7.5% were marijuana-only, 12.7% were marijuana-primary, 58.4% were marijuana-secondary, and 21.4% were marijuana-tertiary admissions. Compared to marijuana-only admissions, admissions involving other substances were associated with a higher likelihood of detoxification and rehabilitation than ambulatory/outpatient treatment (e.g., RRR = 5.79, 95% CI = 5.08-6.61 for detoxification and RRR = 3.19, 95% CI = 2.89-3.52 for rehabilitation among marijuana-tertiary admissions). Referral source, first age of marijuana use, race/ethnicity, and homelessness were significant covariates.

CONCLUSIONS

Given increasing numbers of older-adult marijuana users, healthcare providers should screen older adults for marijuana and other substance use, and substance abuse treatment programs should become more responsive to older adults' needs.

Utilization of medicinal cannabis for pain by individuals with spinal cord injury

Study design

A cross-sectional multi-center study using an on-line survey addressing utilization, knowledge, and perceptions of medicinal cannabis (MC) by people with spinal cord injury (SCI).

Objective

To characterize differences between current (CU), past (PU), and never users (NU) of MC with SCI; to determine why people with SCI use MC; to examine reports of MCs' efficacy and tolerability by individuals with SCI.

Setting

Three academic medical centers in the United States.

Methods

Comparison of demographic and attitudinal differences between CU, PU, and NU and differences in the groups' reports of pain, health, and quality of life (QOL). Evaluation of utilization patterns and perceived efficacy of MC among CU and PU and reports of side effects of MC versus prescription medications. Data were analyzed using either Chi Square, distribution-free exact statistics, or t-tests for continuous data.

Results

Among a nationwide sample (n = 353) of individuals with SCI, NU were less likely than CU and PU to believe that cannabis ought to be legalized and more likely to endorse risks of use. Current users and PU reported greater pain interference in daily life than did NU, but there were no between group differences in QOL or physical or emotional health. Current users and PU took MC to address pain (65.30%), spasms (63.30%), sleeplessness (32.70%), and anxiety (24.00%), and 63.30% reported it offered "great relief" from symptoms. Participants reported that MC is more effective and carries fewer side effects than prescription medications.

Conclusions

Medicinal cannabis is an effective and well-tolerated treatment for a number of SCI-related symptoms.

Illicit drug use and prescription drug misuse among young adult medical cannabis patients and non-patient users in Los Angeles

INTRODUCTION

Young adults have the highest rates of cannabis and other drug use, as compared to other age groups, and contribute a significant proportion to the total population of medical cannabis patients (MCP). However, little is known about the relationships between various cannabis practices and illicit drug use/prescription drug misuse among young adult cannabis users with and without legal access to medical cannabis.

METHODS

210 MCP and 156 non-patient cannabis users (NPU) aged 18-26 were recruited in Los Angeles in 2014-15 for a longitudinal study assessing the impact of medical cannabis on health and substance use among emerging adults. For the present analysis, only quantitative baseline survey data were used. Logistic regression was used to examine the associations between past 90-day cannabis practices and other drug use, including illicit drug use and prescription drug misuse.

RESULTS

Illicit drug use was associated with being non-Hispanic white (AOR = 3.0, 95% CI 1.8-5.1), use of cannabis concentrates (AOR = 2.8, 95% CI 1.6-4.9), while self-reported medical cannabis use was associated with lower probability of illicit drug use (AOR = 0.5, 95% CI 0.3-0.9). The odds of prescription drug misuse were increased for participants who reported use of cannabis edibles (AOR = 2.0, 95% CI 1.1-3.5), and decreased with age (AOR = 0.9, 95% CI 0.8-1.0) and for those who used cannabis alone (AOR = 0.5, 95% CI 0.3-0.9).

CONCLUSION

Use of alternative cannabis forms, but not cannabis use frequency, were associated with greater odds of other drug use. Self-reported medical cannabis use, but not MCP status, decreased probability of illicit drug use.

Use of marijuana exclusively for medical purposes

OBJECTIVES

To characterize the socio-demographic characteristics, medical conditions, and psychiatric comorbidities of users of marijuana for medical and non-medical purposes.

METHODS

Data were from the National Epidemiological Survey on Alcohol and Related Conditions III, a US nationally representative in-person interview of 36,309 adults age ≥18 years in 2012-2013.

RESULTS

In relation to non-medical only users (n = 3339), combined (n = 362) and medical only (n = 82) users had higher prevalence of every medical condition examined. As compared to the combined use group, those using marijuana only for medical purposes were much less likely to have anxiety, alcohol, or non-medical prescription opioid use disorders.

CONCLUSIONS

Medical-only users appear to use it for evidence-based medical reasons and have lower prevalence of substance use disorder than other marijuana users. Nonetheless, because most medical marijuana users also use non-medically, screening for psychiatric disorders and prevention efforts for cannabis use disorder should be implemented when authorizing medical marijuana.

Attitudes toward and knowledge of medical cannabis among individuals with spinal cord injury

Study design

An observational study based on an online survey addressing attitudes toward and knowledge of cannabis among people living with spinal cord injury (SCI).

Objectives

To characterize attitudes toward and knowledge of cannabis among a nationwide sample (n = 353) of people with SCI. To determine if knowledge and attitudes are influenced by socio-demographic and injury-specific factors.

Setting

Three academic medical centers in the US.

Methods

Distribution of an online survey through email lists maintained by 3 SCI centers.

Results

Participants largely believed that cannabis use is safe, has potential therapeutic benefits, and ought to be legal. Substantial pluralities felt that cannabis use is attended by moderate to great health-related and social risks (15.5% and 25.5%, respectively), and a majority (55.9%) felt it is attended by moderate to great legal risks. Subjects' duration of injury, employment status, and personal history of controlled or illicit substances influenced certain beliefs and attitudes.

Conclusions

This study is the first to assess beliefs about and attitudes toward cannabis use among a nationwide sample of people with SCI. While limited, it provides a roadmap for future research. It also offers medical providers an initial understanding of which factors may encourage or dissuade their patients with SCI from seeking medical cannabis treatment.

Marijuana use by middle-aged and older adults in the United States, 2015-2016

BACKGROUND

Marijuana use is increasing among middle-aged and older adults in the US, but little is understood of its pattern of use by this population.

METHODS

We performed a cross-sectional analysis of responses from 17,608 adults aged ≥50 years from the 2015 and 2016 administrations of the National Survey on Drug Use and Health. Prevalence of past-year marijuana use was estimated and compared between middle-aged adults (age 50-64) and older adults (≥65). Characteristics of past-year marijuana users including demographics, substance use, chronic disease, and emergency room use, were compared to non-marijuana users and stratified by age group. Marijuana use characteristics were also compared between middle-aged and older adults. We used multivariable logistic regression to determine correlates of past-year marijuana use.

RESULTS

Prevalence of past-year marijuana use was 9.0% among adults aged 50-64 and 2.9% among adults aged ≥65. Prevalence of past-year alcohol use disorder (AUD), nicotine dependence, cocaine use, and misuse of prescription medications (i.e., opioids, sedatives, tranquilizers) were higher among marijuana users compared to non-users. In adjusted models, initiation of marijuana use <19 years of age [adjusted odds ratio (AOR) = 13.43, 95% confidence interval (CI) 9.60, 18.78)], AUD (AOR = 2.11, 95% CI 1.51, 2.94), prescription opioid misuse (AOR 2.49, 95% CI 1.61, 3.85), nicotine dependence (AOR = 1.90, 95% CI 1.59, 2.26), and cocaine use (AOR 7.43, 95% CI 4.23, 13.03), were all associated with increased odds of past-year marijuana use.

CONCLUSION

Marijuana use is becoming more prevalent in this population and users are also at high risk for other drug use.

Marijuana Use Among Adults 50 Years or Older in the 21st Century

Background: Marijuana is the most commonly used illicit drug among older adults. As an older population grows in the United States that has a tolerant attitude toward marijuana use, the dynamics of marijuana use and the effects of marijuana on personal, social, and health outcomes among older adults require attention. Objectives: This review summarizes epidemiological literature on marijuana use among older adults. Method: A literature search was conducted using PubMed, AgeLine, and an online search engine from January 2000 to December 2017, resulting in 18 articles. Results: The greatest increase in marijuana use was observed among those in the older adult population 50 years or older, and those 65 years or older had the greatest increase in marijuana use in the older adult population. Common correlates of marijuana use among those in the older population included being male, being unmarried, having multiple chronic diseases, having psychological stress, and using other substances such as alcohol, tobacco, other illicit drugs, and prescription drugs. Conclusion: The increased use of marijuana in older populations requires surveillance and additional research to understand the use and effects of marijuana in older populations to avoid negative health outcomes.