Exploring the use of cannabis as a substitute for prescription drugs in a convenience sample

Exploring the substitution of cannabis for alcohol and other drugs among a large convenience sample of people who use cannabis

BACKGROUND

The substitution of cannabis for alcohol and other drugs has been conceptualised in a harm reduction framework as where cannabis is used to reduce the negative side-effects, addiction potential, and social stigma of other drugs. There is currently mixed evidence with recent reviews suggesting cannabis co-use patterns may vary by age and ethnicity. Yet few studies have had large enough samples to examine this demographic variation in detail.

AIMS

To explore the co-use of cannabis with alcohol and other drugs within demographic subgroups of a large sample of people who use cannabis. Specifically: (1) whether cannabis is being substituted for other drugs, and (2), whether cannabis use leads to more, less or the same level of other drug use.

METHOD

Online convenience survey promoted via Facebook™ completed by 23,500 New Zealand respondents. Those who had used cannabis and any of eight other substances in the same six-month period were asked if their use of cannabis had any impact on their use of each other substance ("a lot more", "little more", "no impact/same", "little less", "a lot less"). Frequency and quantity used of each other drug was compared by co-use group. Generalised logistic regression models were developed to predict co-use categories.

RESULTS

Significant proportions reported cannabis use led to "less" alcohol (60%), synthetic cannabinoid (60%), morphine (44%) and methamphetamine (40%) use. Those who reported using "less" had lower frequency and amount used of other drugs. Approximately seven-out-ten reported cannabis use had "no impact" on LSD, MDMA, and cocaine use. One-in-five reported using cannabis led to "more" tobacco use. Young adults (21-35-years) were more likely to report cannabis use led to "less" drinking and methamphetamine use. Adolescent co-users (16-20 years) reported mixed impacts. Māori were more likely to report cannabis use resulted in "less" alcohol, tobacco, methamphetamine, and LSD use. Students and those living in cities were less likely to report cannabis use lowering use of other substances.

CONCLUSION

Cannabis and other drug co-use patterns are moderated by life stages, lifestyles, cultural perspectives, and urbanicity. Harm reduction initiatives and policy reforms should take account of these moderating factors.

Rural reticence to inform physicians of cannabis use

PURPOSE

Over 75% of Americans have legal access to medical cannabis, though physical access is not uniform and can be difficult for rural residents. Additionally, substantial stigma remains in using medical cannabis, particularly within the health care system. This article argues that rural Americans may be particularly affected by such stigma and may thus be more likely to not report cannabis use to health care providers.

METHODS

Data were obtained from 1,045 adult Pennsylvanians using a self-administered web panel omnibus survey. Rurality was determined by overlaying Zip Code Tabulation Areas with urban areas, as defined by the U.S. Census Bureau. Primary outcomes were prior use of cannabidiol (CBD) or marijuana and reporting of such use to medical professionals. Covariates utilized in logistic regressions included rurality, gender, age, race/ethnicity, political affiliation, political ideology, and veteran status.

FINDINGS

Living in an urban area was positively associated with disclosure of marijuana use to health care providers as compared to those in rural areas, although there were no differences found in CBD disclosure.

CONCLUSIONS

Stigma surrounding marijuana usage may have a disproportionate impact on health outcomes for rural residents who use marijuana. Nonreporting prevents effective holistic medical care and can result in negative drug interactions and other side effects.

Association of cannabis use with patient-reported pain measures among adults with chronic pain in US states with medical cannabis programs

INTRODUCTION

Most Americans live in a state that has legalized cannabis as a medical treatment for pain, but it is unclear how chronic pain intensity relates to cannabis use. Our objective was to examine the association between patient-reported pain measures and cannabis among adults with chronic pain.

METHODS

This cross-sectional study of a representative sample of adults reporting chronic non-cancer pain in 36 states and DC with active medical cannabis programs from March to April 2022 assessed cannabis use for chronic pain, categorized as active (within 30 days), past (>31 days), or never use (referent). Measures were pain intensity (primary) and interference, Widespread Pain Index, and number of chronic pain diagnoses.

RESULTS

Among 1628 participants (57% female, 69% white), 352 (22%) actively used cannabis to treat chronic pain, 137 (8%) reported past cannabis use, and 1139 (70%) never used cannabis. In adjusted models, active cannabis use was associated with higher scores for pain intensity (score difference 1.03, 95% CI 0.05 to 2.02) and pain interference (score difference 1.82, 95% CI 0.99 to 2.65) compared with never use. Persons who actively used cannabis had higher Widespread Pain Index scores (score difference 0.56, 95% CI 0.26 to 0.86) and more chronic pain diagnoses (difference 0.45, 95% CI 0.06 to 0.83).

CONCLUSION

People with chronic non-cancer pain who used cannabis for pain reported non-clinically meaningful worse pain measures and greater burden of chronic pain conditions than their counterparts who never used cannabis. Alternatively, those with worse pain and greater burden of pain appear more likely to use cannabis.

Perception and Utilization of Cannabinoids in Patients Undergoing Radiation Treatment: Our Patients Are Curious

PURPOSE

Limited studies have described the utilization of cannabinoids among patients with cancer. This survey study aimed to characterize utilization patterns and perceptions of cannabinoid use for treatment-related side effects among patients receiving radiation treatment.

METHODS AND MATERIALS

This was an anonymous survey study of patients who were undergoing or recently completed radiation treatment at a comprehensive cancer center. Data on cannabinoid use during cancer treatment, reasons for the use of cannabinoids, perceived effects of cannabinoids, and formulations of usage were collected and summarized using descriptive statistics.

RESULTS

Of the 431 respondents, 111 (25.8%) patients reported cannabinoid use since their cancer diagnosis. Among the cannabinoid users, a majority (73.9%) experienced improvement in symptoms; 38.7% had better relief of cancer-treatment symptoms from cannabinoids in comparison to their prescription medications, and 16.2% lowered the amount of prescription pain medications needed after using cannabinoids. Cannabinoids appeared to be most effective in helping patients manage sleep (76.6%) and anxiety (72.1%). When asked about whether physicians should be discussing cannabinoid use, 45.1% of cannabinoid users wanted to speak with their doctors regarding its utilization. For patients who did not report cannabinoid use, a large majority (83.1%) never had discussions with their doctors regarding its utilization as part of their cancer care, and 34.8% wanted to learn more about cannabinoids from their doctors.

CONCLUSIONS

About 1 in 4 patients with cancer reported cannabinoid use to assist in symptom control. A majority had subjective alleviation of treatment-related symptoms from cannabinoid use. Regardless of cannabinoid use, a sizable percentage of patients never had any discussions about cannabinoids with their oncologists, with some expressing interest in learning more. Guidelines are needed to assist radiation oncologists on how cannabinoids may play a role in caring for patients.

Public awareness, risk perceptions and behaviour towards antibiotic use in food-producing animals and antimicrobial resistance in Malaysia: A cross-sectional study

Antimicrobial resistance (AMR) is a growing global public health problem, particularly in low- and middle-income countries, including Malaysia. Understanding risk perceptions on antimicrobial use (AMU) in food-producing animals from the general public perspective is an essential component in addressing AMR. However, little is known about public risk perceptions of AMU and AMR in food-producing animals in Malaysia. The objectives of this study were to assess the level of awareness, risk perceptions, and behaviour regarding antibiotic use in food-producing animals and antimicrobial resistance and to examine the factors associated with risk perceptions and the relationship between knowledge, awareness, risk perceptions and behaviour among the general public in Malaysia. A cross-sectional survey was used. Both descriptive and analytical statistics were used to analyse data and present results. Correlation and regression analyses were conducted to examine the factors associated with risk perceptions and the relationship between risk perceptions and behaviour. A total of 416 individuals participated in the study. The majority of the participants (69.2 %) had low knowledge of antibiotics and antibiotic use in food-producing animals. The levels of awareness of antibiotic use and the perceived route of antibiotic resistance transfer were moderate. Participants had a high level of general risk perception (GRP) of antibiotic use, a moderate level of personal-level risk perception (PRP) of antibiotic resistance transmission, and a high level of societal-level risk perception (SRP) of antibiotic resistance transmission. Awareness of antibiotic use was a significant predictor of GRP (β = 0.27, 95 %CI: 0.12-0.31, P < 0.001). Awareness of route of resistance transfer was a significant predictor of PRP (β = 0.54, 95 %CI: 0.32-0.44, P < 0.001) and SRP (β = 0.47, 95 %CI: 0.32-0.46, P < 0.001). PRP is the only significant predictor of behavioural changes towards antibiotic use and antibiotic resistance (OR = 1.45 [1.02-2.07], P = 0.041). Overall, there is a general lack of knowledge and little awareness of antibiotic use and antibiotic resistance in food-producing animals in Malaysia. Risk perceptions were moderate to high and were significantly predicted by awareness of antibiotic use and route of resistance transfer. Personal-level risk perception was a significant predictor of behavioural changes aimed at reducing the risk of AMU and AMR. It is imperative to raise public awareness and understanding of the risks associated with AMU in food-producing animals. Risk communication should be emphasised to ensure the translation of public risk perceptions into behavioural changes.

Indirect effects of emotion regulation in the relationship between pain and cannabis use in adults 18-64 years

INTRODUCTION

Individuals with chronic pain often receive prescription opioid medication, and they may use cannabis to treat pain as well, although the risks of cannabis-opioid co-use are significant. This study aimed to investigate whether two transdiagnostic factors, emotion regulation and distress tolerance, had significant indirect effects in the relationship between pain and cannabis use in adults with chronic pain and an opioid prescription.

METHODS

Participants (n = 450; mean age = 38.6 ± 11.09) were recruited using Qualtrics panel service and were 75 % female and 79 % White, non-Hispanic. Participants completed a 30-minute self-report survey capturing three-month cannabis use, the Difficulties in Emotional Regulation Scale (DERS), and the Distress Tolerance Scale (DTS). The Graded Pain Scale (GCPS) assessed pain severity/intensity and disability. Analyses used the SPSS PROCESS macro, with both single (i.e., one transdiagnostic factor) and parallel indirect effects (i.e., both the DERS and DTS) examined.

RESULTS

There were statistically significant indirect effects for both the DERS and DTS in the relationship between pain intensity or disability and three-month cannabis use in single factor models. In the parallel indirect effect model, only the DERS was statistically significant (intensity indirect effect coefficient = 0.0195 % confidence interval [95 %CI] = 0.0065, 0.390; disability indirect effect coefficient = 0.0147, 95 %CI = 0.0055, 0.0274).

CONCLUSIONS

When examining parallel indirect effects, only emotional regulation and not distress tolerance mediated the relationship between chronic pain and cannabis use among those with an opioid prescription. Clinically, interventions aimed at improving emotional regulation in individuals with chronic pain can help limit cannabis and opioid co-use.

Cannabinoids in the Treatment of Selected Mental Illnesses: Practical Approach and Overview of the Literature

Although an increasing number of patients suffering from mental illnesses self-medicate with cannabis, current knowledge about the efficacy and safety of cannabis-based medicine in psychiatry is still extremely limited. So far, no cannabis-based finished product has been approved for the treatment of a mental illness. There is increasing evidence that cannabinoids may improve symptoms in autism spectrum disorder (ASD), Tourette syndrome (TS), anxiety disorders, and post-traumatic stress disorder (PTSD). According to surveys, patients often use cannabinoids to improve mood, sleep, and symptoms of attention deficit/hyperactivity disorder (ADHD). There is evidence suggesting that tetrahydrocannabinol (THC) and THC-containing cannabis extracts, such as nabiximols, can be used as substitutes in patients with cannabis use disorder.Preliminary evidence also suggests an involvement of the endocannabinoid system (ECS) in the pathophysiology of TS, ADHD, and PTSD. Since the ECS is the most important neuromodulatory system in the brain, it possibly induces beneficial effects of cannabinoids by alterations in other neurotransmitter systems. Finally, the ECS is an important stress management system. Thus, cannabinoids may improve symptoms in patients with mental illnesses by reducing stress.Practically, cannabis-based treatment in patients with psychiatric disorders does not differ from other indications. The starting dose of THC-containing products should be low (1-2.5 mg THC/day), and the dose should be up-titrated slowly (by 1-2.5 mg every 3-5 days). The average daily dose is 10-20 mg THC. In contrast, cannabidiol (CBD) is mainly used in high doses>400 mg/day.

Factors associated with the use of cannabis for self-medication by adults: data from the French TEMPO cohort study

BACKGROUND

Medical cannabis, legalized in many countries, remains illegal in France. Despite an experiment in the medical use of cannabis that began in March 2021 in France, little is known about the factors associated with the use of cannabis for self-medication among adults.

METHODS

Data came from the French TEMPO cohort and were collected between December 2020 and May 2021. Overall, 345 participants aged 27-47 were included. Cannabis for self-medication was defined using the following questions: 'Why do you use cannabis?' and 'In what form do you use cannabis?'. The penalized regression method "Elastic net" was used to determine factors associated with the use of cannabis for self-medication, with the hypothesis that it is mainly used for pain in individuals who have already used cannabis.

RESULTS

More than half of the participants reported having ever used cannabis (58%). Only 10% used it for self-declared medical reasons (n = 36). All self-medication cannabis users, except one, were also using cannabis for recreational purposes. The main factors associated with cannabis use for self-medication vs. other reasons included cannabis use trajectories, the presence of musculoskeletal disorders, tobacco smoking, and parental divorce.

CONCLUSIONS

Engaging in cannabis use during adolescence or early adulthood may increase the likelihood of resorting to self-medication in adulthood. Due to the propensity of individuals with cannabis use during adolescence to resort to uncontrolled products for self-medication, this population should be more systematically targeted and screened for symptoms and comorbidities that may be associated with cannabis use.

Does cannabis use substitute for opioids? A preliminary exploratory survey in opioid maintenance patients

Various studies showed that people with substance use disorder use cannabis to reduce withdrawal or dose of their main drug. Using a questionnaire about their cannabis use, 118 participants in an opioid maintenance treatment (OMT) in Germany were examined regarding this strategy. 60% reported to use cannabis. Of those, 72% were using cannabis in the suggested way. Cannabis was used to substitute for, e.g., heroin (44.8%) and benzodiazepines (16.4%). We also asked for an estimation of how good cannabis was able to substitute for several substances (in German school grades (1 till 6)); heroin average grade: 2.6 ± 1.49. Besides that we asked about the idea of cannabis as "self-medication", e.g., to reduce pain (47%) and about negative consequences from cannabis use. Our results suggest to consider the use of cannabis by patients in OMT rather as a harm reduction strategy to reduce the intake of more dangerous drugs.

Chronic Pain and Cannabis Use Frequency, Intensity, and Severity in Young Adults

BACKGROUND

Cannabis use is common among young adults and is associated with many physical and mental health problems. Persons with chronic pain may be particularly susceptible to using cannabis at high rates, including for analgesic purposes, thus exposing themselves to greater risk of cannabis-related problems. However, little research has examined connections between chronic pain and cannabis use in the young adult population.

MATERIALS AND METHODS

Participants were young adults from the community who were recruited for a larger health behaviors study. The present sample included 403 persons from this larger sample who reported cannabis use in the past 90 days. Participants completed measures of demographic characteristics, cannabis and alcohol use, and chronic pain.

RESULTS

This young adult sample reported using cannabis on an average of 47.1 of the past 90 days, and 20.1% reported chronic pain. Chronic pain was associated with greater cannabis use frequency (IRR = 1.35, 95%CI 1.15; 1.57, p < 0.001), intensity (IRR = 1.61, 95%CI 1.18; 2.21, p = 0.003), and negative consequences (IRR = 1.23, 95%CI 1.02; 1.48, p < 0.030).

DISCUSSION

In this sample of young adults who use cannabis, chronic pain was significantly associated with frequent, intense cannabis use, as well as more cannabis-related negative consequences. These findings suggest that chronic pain may be a marker for a particularly high-risk pattern of cannabis use in this age group, thus identifying an especially vulnerable subset of young adults who may require heightened research and clinical attention.

Dosing of Cannabinoids Associated with an Opioid-Sparing Effect: A Systematic Review of Longitudinal Studies

OBJECTIVE

To assess cannabinoid dosing that could be associated with a reduction in opioid use.

DESIGN

Systematic review conducted according to the PRISMA statement.

DATA SOURCES

PubMed, Embase, Web of Science, and PsycINFO were searched up to December 10, 2022.

REVIEW/ANALYSIS METHODS

We included randomized controlled trials (RCT) and longitudinal observational studies assessing cannabinoids effect on opioid use in patients with acute or chronic pain. Two reviewers independently assessed the studies for inclusion and extracted the data. Tetrahydrocannabinol (THC), Cannabidiol (CBD), and other cannabinoids with dosing were the exposures. Change in opioid doses and opioid discontinuation were the outcomes.

RESULTS

Fifteen studies (including seven RCTs) were included. Eight studies (six observational and two RCTs) were conducted among patients with chronic pain including three with cancer-related pain. Seven studies involved patients with acute pain (five RCTs).In chronic non-cancer pain patients, two observational studies that assessed THC and CBD in combination (average daily dose 17mg/15mg), and one that assessed a CBD-rich extract (31.4 mg/day), showed a significant reduction in opioid use. Of the three studies conducted on patients with cancer, only the observational study that assessed nabilone (average 1.7 mg/day) showed a significant reduction in opioid use. In patients with acute pain, only two observational studies that assessed dronabinol (5mg and 5-10 mg/day for four days) showed a significant reduction in opioid use.

CONCLUSION

The opioid-sparing effect of cannabinoids remains uncertain based on current evidence. However, attention could be paid to cannabinoid doses associated with opioid reduction in included observational studies.

Cannabis for medical use versus opioids for chronic non-cancer pain: a systematic review and network meta-analysis of randomised clinical trials

OBJECTIVE

The objective of this study is to evaluate the comparative benefits and harms of opioids and cannabis for medical use for chronic non-cancer pain.

DESIGN

Systematic review and network meta-analysis.

DATA SOURCES

EMBASE, MEDLINE, CINAHL, AMED, PsycINFO, PubMed, Web of Science, Cannabis-Med, Epistemonikos and the Cochrane Library (CENTRAL) from inception to March 2021.

STUDY SELECTION

Randomised trials comparing any type of cannabis for medical use or opioids, against each other or placebo, with patient follow-up ≥4 weeks.

DATA EXTRACTION AND SYNTHESIS

Paired reviewers independently extracted data. We used Bayesian random-effects network meta-analyses to summarise the evidence and the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach to evaluate the certainty of evidence and communicate our findings.

RESULTS

Ninety trials involving 22 028 patients were eligible for review, among which the length of follow-up ranged from 28 to 180 days. Moderate certainty evidence showed that opioids provide small improvements in pain, physical functioning and sleep quality versus placebo; low to moderate certainty evidence supported similar effects for cannabis versus placebo. Neither was more effective than placebo for role, social or emotional functioning (all high to moderate certainty evidence). Moderate certainty evidence showed there is probably little to no difference between cannabis for medical use and opioids for physical functioning (weighted mean difference (WMD) 0.47 on the 100-point 36-item Short Form Survey physical component summary score, 95% credible interval (CrI) -1.97 to 2.99), and cannabis resulted in fewer discontinuations due to adverse events versus opioids (OR 0.55, 95% CrI 0.36 to 0.83). Low certainty evidence suggested little to no difference between cannabis and opioids for pain relief (WMD 0.23 cm on a 10 cm Visual Analogue Scale (VAS), 95% CrI -0.06 to 0.53) or sleep quality (WMD 0.49 mm on a 100 mm VAS, 95% CrI -4.72 to 5.59).

CONCLUSIONS

Cannabis for medical use may be similarly effective and result in fewer discontinuations than opioids for chronic non-cancer pain.

PROSPERO REGISTRATION NUMBER

CRD42020185184.

What is the hype on #MedicinalCannabis in the United States? A content analysis of medicinal cannabis tweets

INTRODUCTION

Medicinal cannabis is now legal in 44 US jurisdictions. Between 2020 and 2021 alone, four US jurisdictions legalised medicinal cannabis. The aim of this study is to identify themes in medicinal cannabis tweets from US jurisdictions with different legal statuses of cannabis from January to June 2021.

METHODS

A total of 25,099 historical tweets from 51 US jurisdictions were collected using Python. Content analysis was performed on a random sample of tweets accounting for the population size of each US jurisdictions (n = 750). Results were presented separately by tweets posted from jurisdictions where all cannabis use (non-medicinal and medicinal) is 'fully legalised', 'illegal' and legal for 'medical-only' use.

RESULTS

Four themes were identified: 'Policy', 'Therapeutic value', 'Sales and industry opportunities' and 'Adverse effects'. Most of the tweets were posted by the public. The most common theme was related to 'Policy' (32.5%-61.5% of the tweets). Tweets on 'Therapeutic value' were prevalent in all jurisdictions and accounted for 23.8%-32.1% of the tweets. Sales and promotional activities were prominent even in illegal jurisdictions (12.1%-26.5% of the tweets). Fewer than 10% of tweets were about intoxication and withdrawal symptoms.

DISCUSSION AND CONCLUSION

This study has explored if content themes of medicinal cannabis tweets differed by cannabis legal status. Most tweets were pro-cannabis and they were related to policy, therapeutic value, and sales and industry opportunities. Tweets on unsubstantiated health claims, adverse effects and crime warrants continued surveillance as these conversations could allow us to estimate cannabis-related harms to inform health surveillance.

Using Transformer-Based Topic Modeling to Examine Discussions of Delta-8 Tetrahydrocannabinol: Content Analysis

BACKGROUND

Delta-8 tetrahydrocannabinol (THC) is a psychoactive cannabinoid found in small amounts naturally in the cannabis plant; it can also be synthetically produced in larger quantities from hemp-derived cannabidiol. Most states permit the sale of hemp and hemp-derived cannabidiol products; thus, hemp-derived delta-8 THC products have become widely available in many state hemp marketplaces, even where delta-9 THC, the most prominently occurring THC isomer in cannabis, is not currently legal. Health concerns related to the processing of delta-8 THC products and their psychoactive effects remain understudied.

OBJECTIVE

The goal of this study is to implement a novel topic modeling approach based on transformers, a state-of-the-art natural language processing architecture, to identify and describe emerging trends and topics of discussion about delta-8 THC from social media discourse, including potential symptoms and adverse health outcomes experienced by people using delta-8 THC products.

METHODS

Posts from January 2008 to December 2021 discussing delta-8 THC were isolated from cannabis-related drug forums on Reddit (Reddit Inc), a social media platform that hosts the largest web-based drug forums worldwide. Unsupervised topic modeling with state-of-the-art transformer-based models was used to cluster posts into topics and assign labels describing the kinds of issues being discussed with respect to delta-8 THC. Results were then validated by human subject matter experts.

RESULTS

There were 41,191 delta-8 THC posts identified and 81 topics isolated, the most prevalent being (1) discussion of specific brands or products, (2) comparison of delta-8 THC to other hemp-derived cannabinoids, and (3) safety warnings. About 5% (n=1220) of posts from the resulting topics included content discussing health-related symptoms such as anxiety, sleep disturbance, and breathing problems. Until 2020, Reddit posts contained fewer than 10 mentions of delta-8-THC for every 100,000 cannabis posts annually. However, in 2020, these rates increased by 13 times the 2019 rate (to 99.2 mentions per 100,000 cannabis posts) and continued to increase into 2021 (349.5 mentions per 100,000 cannabis posts).

CONCLUSIONS

Our study provides insights into emerging public health concerns around delta-8 THC, a novel substance about which little is known. Furthermore, we demonstrate the use of transformer-based unsupervised learning approaches to derive intelligible topics from highly unstructured discussions of delta-8 THC, which may help improve the timeliness of identification of emerging health concerns related to new substances.

Binge Drinking and Cannabis Use among Transgender and Gender-Diverse Young Adults in Michigan

Substance use rates are higher among transgender and gender-diverse people than cisgender people. Rates of substance use are also higher among young adults compared with other age groups. However, little research examines substance use among transgender and gender-diverse young adults. This study examines factors associated with binge drinking and cannabis use among transgender and gender-diverse young adults in Michigan. Participants (N = 78; ages 18-25) completed an online survey that included demographics and substance use and related characteristics. Race, stimulant misuse, and sedative misuse were associated with more frequent binge drinking. Older age and past-year pain reliever misuse were associated with less frequent cannabis use. Past-year stimulant use and using cannabis alone were associated with more frequent cannabis use. These findings suggest that additional marginalized identities may increase the risk for maladaptive substance use. Future research should examine substance use behaviors and correlates to inform interventions among this population.

Medical Cannabis Use Among Canadian Veterans and Non-Veterans: A National Survey

Background

Medical cannabis (MC) is used by Canadian Veterans to manage a wide range of health issues. However, there is little information comparing the reasons for MC use and its perceived effectiveness between Veterans and non-Veterans.

Objects

We compared MC use among a convenience sample of Canadian Veterans and with non-Veteran controls, including demographics, reasons and patterns of use, and perceived effectiveness.

Methods

Between November and December 2021, Canadian Veterans using cannabis were invited to participate in a survey using a national press release, social media, and announcements on online platform dedicated to promoting health among Canadian Veterans and non-Veterans during the pandemic (www.MissionVav.com). The survey was also mentioned in a monthly newsletter from Veteran Affairs Canada. Self-reported effectiveness was evaluated using a 0 to 10 visual analogue scale (0 being not all effective, 10 being the most effective).

Results

The survey was completed by 157 people, including 108 (69%) males and 49 (31%) females. The mean age was 57 years (range 19 to 84). Among responders, 90 (63%) identified as Veterans. The most common reasons for MC use among Veterans included: insomnia (80%), anxiety (73%), and depression (52%). Veterans reported medical conditions such as chronic pain (88%) and arthritis (51%). Compared with non-Veterans, Veterans were significantly more likely to be male (83% vs. 49%), have a higher BMI (35.2 vs. 30.9), to report problems with sleep, anxiety, depression, and PTSD, and to use cannabis in edible form (51% vs. 22%). Self-reported mean effectiveness scores for MC were highest for PTSD (8.4), insomnia (8.2), anxiety (8.1), depression (8.0), and chronic pain (7.6).

Conclusions

We found important differences in user characteristics and cannabis use patterns between Canadian Veterans and non-Veterans. Further controlled studies are required to validate these findings, but these data suggest that orally administered cannabis products may be worth further study.

Cannabis use to manage opioid cravings among people who use unregulated opioids during a drug toxicity crisis

BACKGROUND

Accumulating evidence has indicated that cannabis substitution is often used as a harm reduction strategy among people who use unregulated opioids (PWUO) and people living with chronic pain. We sought to investigate the association between cannabis use to manage opioid cravings and self-reported changes in opioid use among structurally marginalized PWUO.

METHODS

The data were collected from a cross-sectional questionnaire administered to PWUO in Vancouver, Canada. Binary logistic regression was used to analyze the association between cannabis use to manage opioid cravings and self-reported changes in unregulated opioid use.

RESULTS

A total of 205 people who use cannabis and opioids were enrolled in the present study from December 2019 to November 2021. Cannabis use to manage opioid cravings was reported by 118 (57.6%) participants. In the multivariable analysis, cannabis use to manage opioid cravings (adjusted Odds Ratio [aOR] = 2.13, 95% confidence interval [CI]: 1.07, 4.27) was significantly associated with self-reported reductions in opioid use. In the sub-analyses of pain, cannabis use to manage opioid cravings was only associated with self-assessed reductions in opioid use among people living with moderate to severe pain (aOR = 4.44, 95% CI: 1.52, 12.97). In the sub-analyses of males and females, cannabis use to manage opioid cravings was only associated with self-assessed reductions in opioid use among females (aOR = 8.19, 95% CI: 1.20, 55.81).

CONCLUSIONS

These findings indicate that cannabis use to manage opioid cravings is a prevalent motivation for cannabis use among PWUO and is associated with self-assessed reductions in opioid use during periods of cannabis use. Increasing the accessibility of cannabis products for therapeutic use may be a useful supplementary strategy to mitigate exposure to unregulated opioids and associated harm during the ongoing drug toxicity crisis.

Self-reported Medicinal Cannabis Use as an Alternative to Prescription and Over-the-counter Medication Use Among US Military Veterans

BACKGROUND

Mental and other physical health concerns and substance use disorder are common and co-occurring events experienced by US veterans. Treatment with medicinal cannabis is a potential alternative to unwanted medication use for veterans, but more clinical and epidemiologic research is needed to understand the risks and benefits.

METHODS

Data were collected from a cross-sectional, self-reported, anonymous survey asking US veterans about their health conditions, medical treatments, demographics, and medicinal cannabis use along with its self-reported effectiveness. In addition to descriptive statistics, logistic regression models were run to examine correlates of the use of cannabis as a substitution for prescription or over-the-counter medications.

FINDINGS

A total of 510 veterans of US military service participated in the survey, which was administered between March 3 and December 31, 2019. The participants reported experiencing a variety of mental and other physical health conditions. Primary health conditions reported included chronic pain (196; 38%), PTSD (131; 26%), anxiety (47; 9%), and depression (26; 5%). Most participants (343; 67%) reported using cannabis daily. Many reported using cannabis to reduce the use of over-the-counter medications (151; 30%) including antidepressants (130; 25%), anti-inflammatories (89; 17%), and other prescription medications. Additionally, 463 veterans (91% of respondents) reported that medical cannabis helped them to experience a greater quality of life and 105 (21%) reported using fewer opioids as a result of their medical cannabis use. Veterans who were Black, who were female, who served in active combat, and who were living with chronic pain were more likely to report a desire to reduce the number of prescription medications they were taking (odds ratios = 2.92, 2.29, 1.79, and 2.30, respectively). Women and individuals who used cannabis daily were more likely to report active use of cannabis to reduce prescription medication use (odds ratios = 3.05 and 2.26).

IMPLICATIONS

Medicinal cannabis use was reported to improve quality of life and reduce unwanted medication use by many of the study participants. The present findings indicate that medicinal cannabis can potentially play a harm-reduction role, helping veterans to use fewer pharmaceutical medications and other substances. Clinicians should be mindful of the potential associations between race, sex, and combat experience and the intentions for and frequency of medicinal cannabis use.

The Impact of Naloxone Coprescribing Mandates on Opioid-Involved Overdose Deaths

INTRODUCTION

Since 2017, a total of 10 states have mandated naloxone coprescribing intended to prevent fatal opioid overdoses. This study aims to assess the association between naloxone coprescribing/offering mandates and opioid-involved overdose deaths on the basis of the opioid type.

METHODS

Data on overdose deaths from 1999 to 2020 came from the National Center for Health Statistics CDC WONDER Online Database. This study examined deaths stratified by illicit/synthetic opioids and prescription/treatment opioids. Difference-in-difference negative binomial regression models estimated average marginal effects and 95% CIs. Covariates included opioid dispensing rate, Good Samaritan law, pharmacy-based naloxone access law, mandatory use of prescription drug monitoring program, and recreational cannabis dispensaries. Data collection and analysis were conducted in 2022.

RESULTS

Ten states implemented naloxone coprescribing/offering mandates during the period. Coprescribing/offering mandates significantly reduced the number of prescription/treatment overdose deaths by 8.61 per state per quarter (95% CI= -15.13, -2.09), a 16% reduction from the counterfactual estimates. Coprescribing/offering mandates did not significantly impact illicit/synthetic overdose deaths (average marginal effect=0.32; 95% CI= -18.27, 18.91).

CONCLUSIONS

Coprescribing/offering mandates prevent overdose deaths for its target population, individuals using prescription/treatment opioids. These mandates do not appear to impact populations using illicit/synthetic opioids; thus, expanded efforts are needed to reach these individuals.

Cannabinoids as a Potential Alternative to Opioids in the Management of Various Pain Subtypes: Benefits, Limitations, and Risks

INTRODUCTION

Pain is a global phenomenon encompassing many subtypes that include neuropathic, musculoskeletal, acute postoperative, cancer, and geriatric pain. Traditionally, opioids have been a mainstay pharmacological agent for managing many types of pain. However, opioids have been a subject of controversy with increased addiction, fatality rates, and cost burden on the US healthcare system. Cannabinoids have emerged as a potentially favorable alternative or adjunctive treatment for various types of acute and chronic pain. This narrative review seeks to describe the efficacy, risks, and benefits of cannabinoids as an adjunct or even potential replacement for opioids in the treatment of various subtypes of pain.

METHODS

In June of 2022, we performed a comprehensive search across multiple databases for English-language studies related to the use of cannabinoids in the treatment of various types pain: neuropathic pain, musculoskeletal pain, acute postoperative pain, cancer pain, and geriatric pain. Data from meta-analyses, systematic reviews, and randomized control trials (RCTs) were prioritized for reporting. We sought to focus our reported analysis on more recent literature as well as include older relevant studies with particularly notable findings.

RESULTS

There is conflicting evidence for the use of cannabinoids in the management of pain. While cannabinoids have shown efficacy in treating specific chronic pain subtypes such as neuropathic pain, fibromyalgia pain, and geriatric pain, they do not show as clear benefit in acute postoperative and the majority of musculoskeletal pain syndromes. Data trends towards cannabinoids having a positive effect in treating cancer pain, but results are not as conclusive. To date, there is a paucity of data comparing cannabinoids directly to opioids for pain relief. Overall, the side effects of cannabinoids appear to be relatively mild. However, there is still potential for addiction, altered brain development, psychiatric comorbidities, and drug-drug interactions.

CONCLUSION

Cannabinoids may be effective in specific subtypes of pain, but current evidence and guidelines do not yet support its use as the first-line treatment for any type of acute or chronic pain. Rather, it may be considered a good adjunct or alternative for patients who have failed more typical or conservative measures. Additional studies are needed with standardized forms of cannabinoids, route of delivery, and dosing for greater-powered analysis. Providers must weigh the individualized patient risks, benefits, and concurrent medication list in order to determine whether cannabinoids are appropriate for a patient's pain treatment plan.

Predictors of perceived symptom change with acute cannabis use for mental health conditions in a naturalistic sample: A machine learning approach

BACKGROUND

Despite limited clinical evidence of its efficacy, cannabis use has been commonly reported for the management of various mental health concerns in naturalistic field studies. The aim of the current study was to use machine learning methods to investigate predictors of perceived symptom change across various mental health symptoms with acute cannabis use in a large naturalistic sample.

METHODS

Data from 68,819 unique observations of cannabis use from 1307 individuals using cannabis to manage mental health symptoms were analyzed. Data were extracted from Strainprint®, a mobile app that allows users to monitor their cannabis use for therapeutic purposes. Machine learning models were employed to predict self-perceived symptom change after cannabis use, and SHapley Additive exPlanations (SHAP) value plots were used to assess feature importance of individual predictors in the model. Interaction effects of symptom severity pre-scores of anxiety, depression, insomnia, and gender were also examined.

RESULTS

The factors that were most strongly associated with perceived symptom change following acute cannabis use were pre-symptom severity, age, gender, and the ratio of CBD to THC. Further examination on the impact of baseline severity for the most commonly reported symptoms revealed distinct responses, with cannabis being reported to more likely benefit individuals with lower pre-symptom severity for depression, and higher pre-symptom severity for insomnia. Responses to cannabis use also differed between genders.

CONCLUSIONS

Findings from this study highlight the importance of several factors in predicting perceived symptom change with acute cannabis use for mental health symptom management. Mental health profiles and baseline symptom severity may play a large role in perceived responses to cannabis. Distinct response patterns were also noted across commonly reported mental health symptoms, emphasizing the need for placebo-controlled cannabis trials for specific user profiles.

An Individuality of Response to Cannabinoids: Challenges in Safety and Efficacy of Cannabis Products

Since legalization, cannabis/marijuana has been gaining considerable attention as a functional ingredient in food. ∆-9 tetrahydrocannabinol (THC), cannabidiol (CBD), and other cannabinoids are key bioactive compounds with health benefits. The oral consumption of cannabis transports much less hazardous chemicals than smoking. Nevertheless, the response to cannabis is biphasically dose-dependent (hormesis; a low-dose stimulation and a high-dose inhibition) with wide individuality in responses. Thus, the exact same dose and preparation of cannabis may be beneficial for some but toxic to others. The purpose of this review is to highlight the concept of individual variations in response to cannabinoids, which leads to the challenge of establishing standard safe doses of cannabis products for the general population. The mechanisms of actions, acute and chronic toxicities, and factors affecting responses to cannabis products are updated. Based on the literature review, we found that the response to cannabis products depends on exposure factors (delivery route, duration, frequency, and interactions with food and drugs), individual factors (age, sex), and susceptibility factors (genetic polymorphisms of cannabinoid receptor gene, N-acylethanolamine-hydrolyzing enzymes, THC-metabolizing enzymes, and epigenetic regulations). Owing to the individuality of responses, the safest way to use cannabis-containing food products is to start low, go slow, and stay low.

Do We Have Structure, Process and Outcomes to Support Cannabis as Supportive Therapy in Cancer?

Cannabis is becoming more popular and more available in the United States. It has been approved for use by multiple states for various conditions and several states now allow recreational cannabis. We explore the structure of cannabis distribution, the process of acquisition, outcomes, and the safety of cannabis in the United States.

The clouded debate: A systematic review of comparative longitudinal studies examining the impact of recreational cannabis legalization on key public health outcomes

Background

Ineffective cannabis regulatory frameworks such as prohibition have sparked interest in alternative solutions to reduce individual and societal harms. While it has been suggested that the recreational legalization process has yielded early successes, the relatively recent implementation of the novel policies has provided a modest time frame for a truly thorough establishment and assessment of key population-level indicators. The following systematic review focuses on identifying the downstream public health sequelae of cannabis legalization policies, including parameters such as cannabis consumption rates, hospitalization rates, vehicular accidents and fatalities, criminal activity, and suicidal behaviors, as well as other substance use trends.

Methods

An exhaustive search of the MEDLINE and Google Scholar databases were performed to identify high-quality (1) longitudinal studies, which (2) compared key public health outcomes between regions which had and had not implemented recreational cannabis legalization (RML) policies, (3) using distinct databases and/or time frames. Thirty-two original research articles were retained for review.

Results

Adult past-month cannabis consumption (26+ years) seems to have significantly increased following RML, whereas young adult (18-26 years) and adolescent (12-17 years) populations do not show a significant rise in past-month cannabis use. RML shows preliminary trends in increasing service use (such as hospitalizations, emergency department visits, or poisonings) or vehicular traffic fatalities. Preliminary evidence suggests that RML is related to potential increases in serious/violent crimes, and heterogeneous effects on suicidal behaviors. While the research does not illustrate that RML is linked to changing consumptions patterns of cigarette, stimulant, or opioid use, alcohol use may be on the rise, and opioid prescribing patterns are shown to be significantly correlated with RML.

Conclusion

The current data supports the notion that RML is correlated with altered cannabis consumption in adults, potentially increased criminal activity, and a decline in opioid quantities and prescriptions provided to patients. Future work should address additional knowledge gaps for vulnerable populations, such as individuals with mental health problems or persons consuming cannabis frequently/at higher THC doses. The effects of varying legalization models should also be evaluated for their potentially differing impacts on population-level outcomes.

The experiences of endometriosis patients with diagnosis and treatment in New Zealand

Endometriosis is a chronically painful, invasive, inflammatory disease, with limited treatment options and long delays to diagnosis, which impacts 10% of females in New Zealand.

Introduction

As part of a larger group discussion study, this paper covers three themes associated with endometriosis patient experiences: intensity of pain, diagnostic tool shortcomings and perspectives of treatment options.

Materials and methods

The goal of this research was the inclusion of patient voices to guide research priorities. In early 2022, 50 New Zealand endometriosis patients participated in anonymous, asynchronous, text-based group discussions on the VisionsLive platform. The patients ranged in age from 18-48. The patients answered 50 questions, 23 text-based and 27 quantitative, and then took part in online group discussions.

Results and discussion

The average age of symptom onset was 15.3 years, while the average delay from symptom onset to a working or surgically confirmed diagnosis was 7.91 years. The top five reported symptoms within the cohort were pain-based, and the participants discussed the many impacts of this pain on their work and education. The four main diagnostic tools employed on this cohort were abdominal ultrasound (72%), transvaginal ultrasound (68%), laparoscopy (82%) and sharing their symptom history with a medical practitioner (88%). The most common emotions patients experienced following receiving a diagnosis of endometriosis were relief (86%), feeling overwhelmed (54%), and anger (32%). The main treatments offered to this cohort were pain relief (96%), laparoscopic surgery (84%) and the combined oral contraceptive pill (80%). Of these three treatments, only laparoscopic surgery was viewed positively by the majority of users, with 67% considering laparoscopy an effective treatment, compared to 46% of users for pain relief, and 25% of users for the combined oral contraceptive pill.

Conclusions

Gathering the voice of patients revealed that long delays to diagnosis and dismissal by medical practitioners frequently manifests as a reaction of relief by patients once diagnosed. Results also showed treatment options such as pain relief and hormonal medications were often considered ineffective, but were routinely offered as the first, or only, options for patients. It is therefore important that both quicker routes to diagnosis and more effective treatment options be developed.