Medical conditions of primary care patients with documented cannabis use and cannabis use disorder in electronic health records: a case control study from an academic health system in a medical marijuana state

Cannabis use disorder and severe sepsis outcomes in cancer patients: Insights from a national inpatient sample

BACKGROUND

The burden of cannabis use disorder (CUD) in the context of its prevalence and subsequent cardiopulmonary outcomes among cancer patients with severe sepsis is unclear.

AIM

To address this knowledge gap, especially due to rising patterns of cannabis use and its emerging pharmacological role in cancer.

METHODS

By applying relevant International Classification of Diseases, Ninth and Tenth Revision, Clinical Modification codes to the National Inpatient Sample database between 2016-2020, we identified CUD(+) and CUD(-) arms among adult cancer admissions with severe sepsis. Comparing the two cohorts, we examined baseline demographic characteristics, epidemiological trends, major adverse cardiac and cerebrovascular events, respiratory failure, hospital cost, and length of stay. We used the Pearson χ² d test for categorical variables and the Mann-Whitney U test for continuous, non-normally distributed variables. Multivariable regression analysis was used to control for potential confounders. A P value ≤ 0.05 was considered for statistical significance.

RESULTS

We identified a total of 743520 cancer patients admitted with severe sepsis, of which 4945 had CUD. Demographically, the CUD(+) cohort was more likely to be younger (median age = 58 vs 69, P < 0.001), male (67.9% vs 57.2%, P < 0.001), black (23.7% vs 14.4%, P < 0.001), Medicaid enrollees (35.2% vs 10.7%, P < 0.001), in whom higher rates of substance use and depression were observed. CUD(+) patients also exhibited a higher prevalence of chronic pulmonary disease but lower rates of cardiovascular comorbidities. There was no significant difference in major adverse cardiac and cerebrovascular events between CUD(+) and CUD(-) cohorts on multivariable regression analysis. However, the CUD(+) cohort had lower all-cause mortality (adjusted odds ratio = 0.83, 95% confidence interval: 0.7-0.97, P < 0.001) and respiratory failure (adjusted odds ratio = 0.8, 95% confidence interval: 0.69-0.92, P = 0.002). Both groups had similar median length of stay, though CUD(+) patients were more likely to have higher hospital cost compared to CUD(-) patients (median = 94574 dollars vs 86615 dollars, P < 0.001).

CONCLUSION

CUD(+) cancer patients with severe sepsis, who tended to be younger, black, males with higher rates of substance use and depression had paradoxically significantly lower odds of all-cause in-hospital mortality and respiratory failure. Future research should aim to better elucidate the underlying mechanisms for these observations.

The role of prescribed controlled substance acquisition as potential triggers of opioid overdose: A case-crossover study

BACKGROUND

The role of prescribed opioids and benzodiazepines as risk factors for opioid overdose are well established, however, their role as potential 'triggers' of opioid overdose has not been formally investigated.

OBJECTIVE

The objective of this study was to evaluate the temporal relationship between controlled substance acquisition and opioid overdose utilizing a case-crossover design.

METHODS

This study utilized Arkansas statewide data between 2014 and 2020. Prescription Drug Monitoring Program (PDMP) data were used to assess controlled substance acquisition and fatal and non-fatal opioid overdose were assessed using linked death certificate, inpatient discharge, and emergency department (ED) data. All persons residing in Arkansas who experienced an opioid overdose or had ≥ 1 Arkansas PDMP prescription fill(s) were included. Controlled substance characteristics were described in the 7 days prior to overdose and compared to the controlled substance characteristics in 11 weekly (7-day) control windows prior to overdose. Binary controlled substance variables indicating presence or absence of: any controlled substance, opioid, benzodiazepine, stimulant, sedative, carisoprodol, opioid and benzodiazepine, and opioid and benzodiazepine and carisoprodol were created. Additionally, total morphine milliequivalents were calculated for each time window. Conditional logistic regression models were estimated and adjusted odds ratios for each controlled substance characteristic after accounting for other controlled substance, and prior overdose, and clinical characteristics derived from ED and inpatient data are reported.

RESULTS

A total of 2,818,135 individuals with ≥1 Arkansas PDMP record(s) (45.10 % male; 39.94 mean age) were included, of which 28,670 (1.02 %) experienced ≥1 opioid overdose. There was a significant association between opioid overdose and the acquisition of a controlled substance (OR=1.785; p < 0.001), opioid (OR=1.992; p < 0.001), benzodiazepine (OR=1.379; p < 0.001), carisoprodol (OR=1.744; p < 0.001), opioid and benzodiazepine (OR=2.203; p < 0.001), and opioid and benzodiazepine and carisoprodol (OR=2.503; p < 0.001), in the 7 days prior to an opioid overdose event.

CONCLUSION

Controlled substance prescription acquisition, particularly opioids in combination with carisoprodol and/or benzodiazepines, are potential triggers of opioid overdose.

Prevalence of cannabidiol use and correlates in U.S. adults

Background

Cannabidiol (CBD) use has been increasing for its putative therapeutic potential for various health conditions. Research using a nationally representative sample is needed to examine characteristics of CBD users.

Methods

Data came from the adult sample (N=47,100) of the 2022 U.S. National Survey on Drug Use and Health. We fitted generalized linear models to examine the sociodemographic, health, other substance use, and cannabis risk perception as correlates of CBD-only use and CBD-cannabis co-use, compared to cannabis-only use.

Results

In 2022, 20.6 % and 23.0 % of U.S. adults reported using CBD and cannabis, respectively, in the preceding 12 months, and 63 % of CBD users also used cannabis. CBD use was significantly higher among women (CBD-only vs. cannabis-only use: IRR=1.43, 95 % CI=1.31-1.57), but significantly lower among Black and Hispanic individuals compared to non-Hispanic White individuals (CBD-only vs. cannabis-only use: IRR=0.71, 95 % CI=0.60-0.85 for Black individuals; IRR=0.79, 95 % CI=0.65-0.96 for Hispanic individuals). Older ages, higher SES, chronic medical conditions, mental illness, and high cannabis risk perception were also associated with higher likelihood of CBD-only use versus cannabis-only use. CBD-cannabis co-users were at most risk in terms of chronic illness, mental illness, cannabis use disorder, and other substance use problems.

Conclusions

The high prevalence of self-reported CBD use among those with physical and mental health problems warrants public health warnings about potential side effects and drug interactions. The high CBD-cannabis co-use rate also calls for more research on potential benefits and negative effects of the co-use.

Cannabis use disorder and substance use treatment among U.S. adults

INTRODUCTION

Recent expansion of cannabis legalization in multiple states calls for reexamination of the prevalence of cannabis use, cannabis use disorder (CUD), and the associations between CUD severity and substance use treatment. We used Andersen's behavioral model of healthcare use as the conceptual/analytic framework for examining treatment use.

METHODS

We used data from the 2022 National Survey on Drug Use and Health (NSDUH; N = 47,100, age 18+) to describe the prevalence of past-year cannabis use, CUD and CUD severity, other substance use disorders, and substance use treatment. We compared sociodemographic, mental health, healthcare use, and cannabis and other substance use characteristics by CUD severity. Finally, we used logistic regression models to examine the associations between CUD severity and substance use treatment.

RESULTS

Of the U.S. adult population, 23.0 % used cannabis in the past year; 7.0 % had a CUD (3.9 % mild, 1.9 % moderate, and 1.2 % severe CUD); and 4.7 % received substance use treatment. Of past-year cannabis users, 30.3 % had CUD (16.9 % mild, 8.4 % moderate, and 5.0 % severe CUD), and 9.6 % received substance use treatment. Cannabis users had 3-4 times higher rates of other substance use disorders than nonusers. Of those with CUD, 38.4 % had moderate/severe mental illness, 52.4 % had other substance use disorders, and 16.5 % received substance use treatment. Among all cannabis users, moderate (aOR [adjusted odds ratios] = 1.48, 95 % CI = 1.03-2.13) and severe (aOR = 2.57, 95 % CI = 1.60-4.11) CUDs were associated with greater odds of substance use treatment. Among cannabis users without nicotine dependence and alcohol, opioid, tranquilizer/sedative, and stimulant use disorders, only severe CUD (aOR = 6.03, 95 % CI = 3.37-10.78) was associated with greater odds of substance use treatment.

CONCLUSIONS

This study shows increased prevalence of cannabis use and CUD among U.S. adults, and with or without other substance use disorders, CUD was associated with greater odds of substance use treatment. However, the overall low rate of treatment use among those with CUD is concerning. Healthcare providers need to provide education for both medical and recreational users on the development of tolerance and dependence. Harm reduction strategies to minimize the negative consequences of CUD are also needed.

Can the THC concentration predict the number of patients with cannabis-related diagnoses?

INTRODUCTION

The use of high-potency cannabis products is associated with an increased risk of mental disorders. This study investigates whether the rising THC concentration in Germany is associated with an increase in cannabis-related diagnoses.

METHODS

The number of insured persons with at least one cannabis-related ICD-10 F12 diagnosis (e.g., harmful use, dependence) in outpatient care was provided by statutory health insurance funds between 2009 and 2021. The dependent variable is the ratio of (a) the number of insured persons with at least one F12 diagnosis to (b) all insured persons who have used cannabis in the last year. Information on THC concentration in cannabis flower was provided by law enforcement agencies. Using generalised mixed linear models, the dependent variable was predicted by the median THC concentration in cannabis flower.

RESULTS

The regression results show that an increase in THC concentration by one percentage point is significantly associated with an increase in the proportion of diagnoses (women: +0.17; men: +0.42). THC concentration positively predicted the proportion of diagnoses in all 16 federal states for men and in 15 federal states for women.

DISCUSSION AND CONCLUSIONS

Compared to low-potency products, using high-potency products may pose additional health risks, which may be particularly pronounced in men. Acknowledging the limitations of the ecological study design and uncertainties inherent to the analysed data, further investigations on the sex-specific impact of THC exposure are required. Limiting the THC concentration in cannabis products and closely monitoring THC consumption in the population appears necessary.

Herbal Cannabis and Depression: A Review of Findings Published over the Last Three Years

Public perception contrasts scientific findings on the depression-related effects of cannabis. However, earlier studies were performed when cannabis was predominantly illegal, its production was mostly uncontrolled, and the idea of medical cannabis was incipient only. We hypothesized that recent changes in attitudes and legislations may have favorably affected research. In addition, publication bias against cannabis may have also decreased. To investigate this hypothesis, we conducted a review of research studies published over the last three years. We found 156 relevant research articles. In most cross-sectional studies, depression was higher in those who consumed cannabis than in those who did not. An increase in cannabis consumption was typically followed by an increase in depression, whereas withdrawal from cannabis ameliorated depression in most cases. Although medical cannabis reduced depression in most studies, none of these were placebo-controlled. In clinical studies published in the same period, the placebo also ameliorated depression and, in addition, the average effect size of the placebo was larger than the average effect size of medical cannabis. We also investigated the plausibility of the antidepressant effects of cannabis by reviewing molecular and pharmacological studies. Taken together, the reviewed findings do not support the antidepressant effects of herbal cannabis.

Unhealthy behaviors associated with mental health disorders: a systematic comparative review of diet quality, sedentary behavior, and cannabis and tobacco use

Background

There are well-established literatures documenting the associations between mental disorders and unhealthy behaviors such as poor diet quality, sedentary behavior, and cannabis and tobacco use. Few studies have attempted to understand the respective findings in light of each other, however.

Objective

The purpose of this review was to assemble comparable data for each behavior-disorder association and assess the associations in terms of their overall strength. The review aimed to include a representative, but not exhaustive, range of studies that would allow for explorative comparisons.

Methods

Eligible studies were identified via Pubmed searches and citation searching, restricted to publications no older than 2015 written in English. To obtain comparable data, only studies that reported findings as odds ratios were included, and risk of bias related to study samples, behavioral measurement disparities, and control variables was assessed via sensitivity analyses. Findings for each disorder were compared on the basis of different measures of central tendency.

Results

From 3,682 records, 294 studies were included. The review found evidence of associations between each of the four unhealthy behaviors and psychosis, depression, anxiety, bipolar disorder, attention-deficit/hyperactivity disorder (ADHD), and post-traumatic stress disorder (PTSD), while personality disorder was only investigated in relation to cannabis and tobacco use. In overall comparison, the associations were generally of similar strength, and only the association between cannabis use and personality disorder was exceptional in terms of being significantly stronger than its counterparts across disorders and across behaviors. Analyses of bias risk identified some influence from behavioral measurement disparities and lack of adequate statistical control, but findings were generally robust across a range of sensitivity analyses.

Conclusion

This explorative and comparative review found that poor diet quality, sedentary behavior, and cannabis and tobacco use are about equally strongly associated with a range of different mental disorders. Given the general nature of these associations, we should probably understand them to reflect a general and shared etiology. However, the findings in this review should be regarded as tentative until confirmed by more comprehensive investigations.

The Endocannabinoid System as a Potential Therapeutic Target for HIV-1-Associated Neurocognitive Disorder

Background: Despite the successful introduction of combined antiretroviral therapy, the prevalence of mild to moderate forms of HIV-associated neurocognitive disorders (HAND) remains high. It has been demonstrated that neuronal injury caused by HIV is excitotoxic and inflammatory, and it correlates with neurocognitive decline in HAND. Endocannabinoid system (ECS) protects the body from excitotoxicity and neuroinflammation on demand and presents a promising therapeutic target for treating HAND. Here, we firstly discuss the potential pathogenesis of HAND. We secondly discuss the structural and functional changes in the ECS that are currently known among HAND patients. We thirdly discuss current clinical and preclinical findings concerning the neuroprotective and anti-inflammatory properties of the ECS among HAND patients. Fourth, we will discuss the interactions between the ECS and neuroendocrine systems, including the hypothalamic-pituitary-adrenocortical (HPA) and hypothalamic-pituitary-gonadal (HPG) axes under the HAND conditions. Materials and Methods: We have carried out a review of the literature using PubMed to summarize the current state of knowledge on the association between ECS and HAND. Results: The ECS may be ideally suited for modulation of HAND pathophysiology. Direct activation of presynaptic cannabinoid receptor 1 or reduction of cannabinoid metabolism attenuates HAND excitotoxicity. Chronic neuroinflammation associated with HAND can be reduced by activating cannabinoid receptor 2 on immune cells. The sensitivity of the ECS to HIV may be enhanced by increased cannabinoid receptor expression in HAND. In addition, indirect regulation of the ECS through modulation of hormone-related receptors may be a potential strategy to influence the ECS and also alleviate the progression of HAND due to the reciprocal inhibition of the ECS by the HPA and HPG axes. Conclusions: Taken together, targeting the ECS may be a promising strategy to alleviate the inflammation and neurodegeneration caused by HIV-1 infection. Further studies are required to clarify the role of endocannabinoid signaling in HIV neurotoxicity. Strategies promoting endocannabinoid signaling may slow down cognitive decline of HAND are proposed.