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. 2023 Jan 28;5(4):315–324. doi: 10.1016/j.cjco.2023.01.005

Prevalence, Perceptions, and Patterns of Cannabis Use Among Cardiac Inpatients at a Tertiary-Care Hospital: A Cross-Sectional Survey

Kathryn L Walker a, Sarah A Mackler a, Shireen M Noble a, Adrienne E Gaudreault a, Scott Mitchell a, Robert D Reid a,b, Andrew L Pipe a,b, Thais Coutinho a,b, Hassan Mir a,b, Kerri-Anne Mullen a,∗
PMCID: PMC10140739  PMID: 37124964

Abstract

Background

Cannabis use may adversely affect cardiovascular health. Patterns of use by cardiac patients are unknown. We evaluated the prevalence, perceptions, and patterns of cannabis use among cardiac inpatients.

Methods

A consecutive cross-section of cardiac inpatients, hospitalized between November 2019 and May 2020, were surveyed in-person or via telephone. Descriptive statistics and logistic regression were used to examine the characteristics of cannabis use.

Results

The prevalence of past-12-month cannabis use was 13.8% (95% confidence interval [CI]: 11.8%-16.0%). Characteristics independently associated with cannabis use were as follows: age < 64 years (< 44 years, odds ratio [OR] = 3.96 [95% CI: 1.65-9.53]; age 45-64 years, OR = 2.72 [95% CI: 1.65-4.47]); tobacco use in the previous 6 months (OR = 1.91 [95% CI: 1.18-3.07]); having a cannabis smoker in one’s primary social group (OR = 4.17 [95% CI: 2.73-6.38]); and a history of a mental health diagnosis (OR = 1.82 [95% CI: 1.19-2.79]). Among those using cannabis, 70.5% reported smoking or vaping it; 47.2% reported daily use. Most did not know the tetrahydrocannabinol (THC; 71.6%) or cannabidiol (CBD; 83.3%) content of their cannabis, or the dose of cannabis in their edibles (66.7%). As defined by Canada’s Lower Risk Cannabis Use Guidelines, 96.7% of cannabis users reported ≥ 1 higher-risk use behaviour (mean = 2.3, standard deviation = 1.2). Over 60% of patients expressed no intention to quit or reduce cannabis use in the next 6 months.

Conclusions

Cannabis use appears prevalent among cardiac patients. Most users demonstrated higher-risk use behaviours and low intentions to quit. Further work is needed to understand the impacts of cannabis use on the cardiovascular system and to develop guidelines and educational tools relating to lower-risk use, for cardiac patients and providers.


Evidence suggests that cannabis use is associated with cardiovascular harm. A recent systematic review found that nonmedical cannabis use was associated with an increased likelihood of myocardial infarction and stroke.1 Other investigators have identified an associated increased risk of an acute coronary syndrome,2,3 dysrhythmias,4 and chronic cardiovascular disease.5,6 Smoking cannabis may be associated with many of the same cardiovascular risks as smoking tobacco, given its effects on blood pressure, inflammation, and cardiac rhythm.7, 8, 9 Cannabis may also interact adversely with certain cardiovascular drugs.10

Cardiovascular risks notwithstanding, studies have supported the therapeutic benefits of cannabis in managing certain disorders and symptoms, including the following: neuropathic pain and posttraumatic stress disorder; improved appetite in patients with cancer or human immunodeficiency virus (HIV); decreased spasticity from multiple sclerosis; and reduced frequency of certain forms of epileptic seizures.11, 12, 13

Recreational cannabis was legalized in Canada between October 2018 and October 2019.14 Canada has published its Lower Risk Cannabis Use Guidelines (LRCUGs) designed to provide the public and clinicians with evidence-based recommendations to reduce the risks associated with cannabis use.15,16 These guidelines provide little information for individuals with cardiovascular disease (CVD). Current knowledge is limited regarding the prevalence and patterns of cannabis use among adults with medical conditions,17 particularly those with CVD.18 Given the potential risks that cannabis use may pose to cardiovascular patients, understanding the nature and dimension of its use within this population is important.

The purpose of this evaluation was to examine the prevalence, perceptions, and patterns of cannabis use among a consecutive series of inpatients at a tertiary-care cardiac hospital in Ontario, Canada, to gather insights that could lead to the improvement of patient care.

Methods

Design and setting

We conducted a cross-sectional survey of a consecutive series of patients admitted to inpatient cardiology and cardiac surgery units at the University of Ottawa Heart Institute between November 2019 and May 2020.

Participants

Patients were eligible for the survey if they met the following criteria: (i) they were admitted to 1 of 3 cardiac inpatient units at the institute between November 11, 2019, and May 14, 2020; (ii) they could speak and comprehend English or French; (iii) they were not severely cognitively or hearing impaired; and (iv) they were healthy enough to participate in the survey. The survey was administered to participants in-person during their hospitalization, or by telephone posthospitalization. Participants provided consent to participate in the survey.

Data sources

Four of the authors (K.W., K.M., S.N., S.M.) developed a survey using questions adapted from the following existing, validated surveys: National Cannabis Survey 2018 & 201919; Canadian Cannabis Survey (CCS) 201820 & 201921; Daily Sessions, Frequency, Age of Onset, and Quantity of Cannabis Use Inventory (DFAQ-CU)22; and the Canadian Alcohol Tobacco and Drugs Survey 2017.23 The survey was piloted and revised prior to the start of the evaluation. The primary variable of interest was self-reported cannabis use in the past year. A 12-month recall period was selected, as this permits measurement of current or recent cannabis use and enables comparisons with other national surveys (CCS and Canadian Alcohol Tobacco and Drugs Survey). Previous year cannabis use was measured by asking patients “Have you ever used cannabis?,” with the following response options read to them: “No, I have never used cannabis; Yes, I have only tried cannabis once in my life but not in the past year; Yes, I have used it more than once but not within the past year; Yes, I have used it within the past year.” Those who reported cannabis use in the previous year were asked the following further questions about their use: patterns of use; history of use; methods of administration; source of the cannabis; knowledge of tetrahydrocannabinol (THC) and cannabidiol (CBD) content; reasons for use; and co-use with other substances. All participants were asked about the following: their perceptions and feelings toward cannabis use; their use of tobacco, e-cigarettes, and alcohol; reason for their hospital admission; their history of mental health diagnosis; their other substance use; and their sociodemographic characteristics (age, sex, ethnic background, employment status, level of education). Participants had the option to have the survey administered in English or French. A copy of the survey questions used in this analysis is available in the Supplemental Methods S1.

Reduction of bias

To reduce potential biases, we attempted to survey a consecutive series of patients by approaching patients in chronological order based on admission date and time. Evaluation staff received training in survey administration and followed a standard operating procedure to ensure consistency in the delivery of the survey.

Sample size

The primary objective was to measure prevalence of cannabis use, and we aimed to survey at least 150 participants who had used cannabis over the past year. A target sample size of 1012 was calculated based on an expected prevalence of cannabis use in the past 12 months of 15%,24 an alpha of 0.05, and an absolute error (measure of precision) of ± 2.2%.

Statistical analysis

Descriptive statistics were used to summarize cannabis prevalence, perceptions, and sociodemographic characteristics. Response categories with cell sizes less than 10 were merged with other categories to protect respondent identity.

Three quantitative variables (number of standard drinks per week, length of hospital stay in days, and age) were converted to categorical variables for data analysis. The Canadian guidelines for low-risk alcohol consumption25 were used to group “number of standard drinks per week” into the following binary variable: “Consumes more than guidelines of alcohol per week (higher risk) or consumes within guidelines per week (lower risk).”

Cannabis use characteristics of this cardiac inpatient sample were compared post hoc to the LRCUGs15 to examine how many patients were reporting higher-risk cannabis use. Five of the LRCUGs’ 10 higher-risk behaviours were assessed in our survey (initiating cannabis use before age 25 years, driving within 2 hours of consuming cannabis, smoking cannabis, frequency of cannabis use > once per week, co-use of cannabis and tobacco in the previous 6 months). The responses were converted into binary (yes/no) variables; the “yes” responses were summed for each patient who used cannabis, to determine the number of higher-risk behaviours per patient.

Logistic regression was used to examine the associations between cannabis use and sociodemographic characteristics. Unadjusted odds ratios (ORs) were calculated for each independent variable, with cannabis use in the past 12 months as the dependent variable. The independent variables examined were sex, age group, education, employment status, tobacco use, alcohol use, opioid use, exposure to cannabis smoke in the home, cannabis use in primary social group, and history of a mental health diagnosis. These variables were selected based on clinical experience and prior literature suggesting that they have a potential association with cannabis use. Following the univariate analyses, 2 multivariable models were built. The first model included all variables. The second model included all variables with a significant univariate association with cannabis use, in addition to age and biological sex. The following tests were used to compare the 2 multivariable models and select the model with the best fit: Nagelkerke R value (a larger number suggests better model fit); –2 log likelihood (smaller number suggests better fit); and Block 1 (reduced model) vs Block 2 (full model) comparison and examination of the likelihood ratio χ2 test for the additional terms added in the second block. All assumptions of logistic regression were tested and found to have been met. SPSS Statistics for Windows (version 28.0; IBM, Armonk, NY) was used to conduct all statistical analyses.

The full dataset was used to calculate descriptive statistics. In preparation for logistic-regression analysis, missing data were addressed as follows: Any cases missing more than 33% of responses for the variables included in the logistic regression were removed from the dataset (n = 12). The pattern of “missingness” of the data in the trimmed dataset was then examined using SPSS Statistics missing-data analysis. Multiple imputations (5 iterations), using SPSS Statistics (automatic imputation) were performed to impute the missing data. A pooled estimate of the 5 dataset iterations was used to conduct the logistic-regression analysis.

Ethics approval

This project was reviewed by the Ottawa Health Science Network Research Ethics Board and approved as a quality-improvement evaluation.

Results

A total of 1616 cardiac patients were admitted and discharged from participating inpatient units during the evaluation period. Prior to the COVID-19 pandemic lockdown in March 2020, patients were approached consecutively while they were in the hospital. If patients were not reached while they were in the hospital or during the pandemic lockdown, they were contacted by phone in order of discharge, to ask them to complete the survey. Of those approached, 124 patients (7.7%) were not eligible for the survey, and 403 patients (24.9%) declined or were unreachable. Of the eligible patients, 1089 (73.0%) completed the survey (Fig. 1).

Figure 1.

Figure 1

Selection of participants for survey.

Prevalence

The overall prevalence of cannabis use in the past year for our sample was 13.8% (95% confidence interval [CI], 11.8%-16.0%; n = 150; Table 1), and the prevalence of ever using cannabis in one’s life was 42.1% (95% CI, 39.2%-45.1%). Cardiac inpatients who reported cannabis use in the previous year were, on average, 9 years younger than those who had not used cannabis in the previous year (mean age 58.3 ± 13.1 vs 67.5 ± 11.9 years; P < 0.001).

Table 1.

Prevalence of cannabis use in cardiac inpatients, by sociodemographic, health, and social/environmental characteristics

Variable Cannabis use, in past 12 months
No
Yes
Total
Prevalence of cannabis use, in past 12 months
n (%) n (%) n % (95% CI)
Total 939 150 1089 13.8 (11.8–16.0)
Sociodemographic
Sex Male 647 (68.9) 110 (73.3) 757 14.5 (12.2–17.2)
Female 292 (31.1) 40 (26.7) 332 12.0 (8.9–15.9)
Missing 0 0 0
Age group, y ≤ 44 31 (3.3) 18 (12.0)∗ 49 36.7 (24.3–50.7)
45–64 338 (36.0) 86 (57.3)∗ 424 20.3 (16.7–24.3)
≥ 65 570 (60.7) 46 (30.7) 616 7.5 (5.6–9.7)
Missing 0 0 0
Some postsecondary education No 366 (39.6) 56 (38.1) 422 13.3 (10.3–16.8)
Yes 559 (60.4) 91 (61.9) 650 14.0 (11.5–16.8)
Missing 14 3 17
Ethnicity European/non-Indigenous North American 815 (88.6) 135 (91.2) 950 14.2 (12.1–16.5)
Other 105 (11.4) 13 (8.8) 118 11.0 (6.3–17.6)
Missing 19 2 21
Employment status Employed 275 (29.8) 51 (34.7) 326 15.6 (12.0–19.9)
Retired 552 (59.9) 65 (44.2)∗ 617 10.5 (8.3–13.1)
Unemployed/receiving disability income support 95 (10.3) 31 (21.1)∗ 126 24.6 (17.7–32.6)
Missing 17 3 20
Health services utilization
Admission diagnosis Coronary artery disease 576 (61.3) 89 (59.3) 665 13.4 (11.0–16.1)
Valvular disease 141 (15.0) 28 (18.7) 169 16.6 (11.6–22.7)
Heart failure 72 (7.7) 10 (6.7) 82 12.2 (6.4–20.6)
Other 150 (16.0) 23 (15.3) 173 13.3 (8.9–18.9)
Missing 0 0 0
Length of UOHI stay in days ≤ 5 289 (30.8) 46 (30.7) 335 13.7 (10.4–17.7)
6–8 237 (25.2) 38 (25.3) 275 13.8 (10.1–18.3)
9–13 185 (19.7) 33 (22.0) 218 15.1 (10.9–20.3)
≥ 14 228 (24.3) 33 (22.0) 261 12.6 (9.0–17.1)
Missing 0 0 0
Readmitted to UOHI within 30 days No 894 (95.2) 139 (92.7) 1033 13.5 (11.5–15.6)
Yes 45 (4.8) 11 (7.3) 56 19.6 (10.9–31.4)
Missing 0 0 0
Substance use and mental health
Tobacco use, in previous 6 months No 831 (89.0) 102 (68.5) 933 10.9 (9.1–13.1)
Yes 103 (11.0) 47 (31.5)∗ 150 31.3 (24.3–39.1)
Missing 5 1 6
Ever used e-cigarettes No 857 (92.0) 113 (75.8) 970 11.6 (9.7–13.8)
Yes 75 (8.0) 36 (24.2)∗ 111 32.4 (24.3–41.5)
Missing 7 1 8
Current alcohol use Within guidelines 882 (95.1) 134 (91.2) 1016 13.2 (11.2–15.4)
Above guidelines 45 (4.9) 13 (8.8)† 58 22.4 (13.2–34.3)
Missing 12 3 15
Opioid use, in previous 6 months No 791 (90.0) 119 (82.6) 910 13.1 (11.0–15.4)
Yes 88 (10.0) 25 (17.4)† 113 22.1 (15.2–30.4)
Missing 60 6 66
History of mental health diagnosis No 724 (79.6) 91 (61.9) 815 11.2 (9.1–13.5)
Yes 186 (20.4) 56 (38.1)∗ 242 23.1 (18.2–28.8)
Missing 29 3 32
History of depression diagnosis No 795 (87.4) 106 (72.1) 901 11.8 (9.8–14.0)
Yes 115 (12.6) 41 (27.9)∗ 156 26.3 (19.9–33.6)
Missing 29 3 32
History of anxiety diagnosis No 812 (89.2) 109 (74.1) 921 11.8 (9.9–14.0)
Yes 98 (10.8) 38 (25.9)∗ 136 27.9 (20.9–35.9)
Missing 29 3 32
Social/environmental
Someone smokes cannabis in the home No 907 (97.8) 132 (89.8) 1039 12.7 (10.8–14.8)
Yes 20 (2.2) 15 (10.2)∗ 35 42.9 (27.6–59.3)
Missing 12 3 15
Someone in primary social group smokes cannabis No 826 (89.1) 82 (55.8) 908 9.0 (7.3–11.0)
Yes 101 (10.9) 65 (44.2)∗ 166 39.2 (32.0–46.7)
Missing 12 3 15

CI, confidence interval; UOHI, University of Ottawa Heart Institute.

∗

χ2P < 0.001.

†

χ2P < 0.05.

Factors associated with cannabis consumption

Table 2 summarizes the observed associations between cannabis use and other variables. In the univariable logistic-regression models, factors associated with cannabis use in the previous 12 months were as follows: age < 65 years; being unemployed or receiving disability benefits; having used tobacco in the previous 6 months; having used opioids in the previous 6 months; having someone in the home who smokes cannabis; having someone in one’s primary social group who smokes cannabis; and history of a mental health diagnosis. Two adjusted models were created, and model #1 fit the data best. In the multivariable model #1, factors independently associated with cannabis use in the previous 12 months were the following: age < 64 years (age < 44 years OR = 3.96 [95% CI:1.65-9.53]; age 45-64 years OR = 2.72 [95% CI:1.65-4.47]); tobacco use in the previous 6 months (OR = 1.91 [95% CI: 1.18-3.07]); having someone in one’s primary social group who smokes cannabis (OR = 4.17 [95% CI:2.73-6.38]); and history of a mental health diagnosis (OR = 1.82 [95% CI: 1.19-2.79]).

Table 2.

Associations between participant characteristics and cannabis use

Variables Cannabis use in the past 12 months, odds ratio (95% confidence interval)
Model 1
Model 2
Univariable Multivariable Multivariable
Sex
Male 1.20 (0.81–1.77) 1.25 (0.80–1.94) 1.26 (0.81–1.96)
Female 1.0 (Ref) 1.0 (Ref) 1.0 (Ref)
Age, y
≤ 44 7.24 (3.76–13.94)∗ 3.96 (1.65–9.53)† 3.91 (1.63–9.36)†
45–64 3.14 (2.14–4.63)∗ 2.72 (1.65–4.47)∗ 2.74 (1.68–4.49)∗
≥ 65 1.0 (Ref) 1.0 (Ref) 1.0 (Ref)
Some postsecondary education
Yes 1.0 (Ref) 1.0 (Ref) NA
No 0.93 (0.65–1.33) 0.95 (0.63–1.43) NA
Employment status
Employed 1.0 (Ref) 1.0 (Ref) 1.0 (Ref)
Retired 0.64 (0.43–0.95)† 1.60 (0.95–2.69) 1.60 (0.95–2.68)
Unemployed or receiving disability income support 1.75 (1.06–2.91)† 1.33 (0.73–2.40) 1.28 (0.71–2.30)
Tobacco use previous 6 months
Yes 3.64 (2.43–5.46)∗ 1.91 (1.18–3.07)† 1.93 (1.20–3.09)†
No 1.0 (Ref) 1.0 (Ref) 1.0 (Ref)
Current alcohol use
Above guidelines 1.88 (0.99–3.58) 1.82 (0.88–3.78) NA
Within guidelines 1.0 (Ref) 1.0 (Ref) NA
Opioid use past 6 months
Yes 1.89 (1.16–3.07)† 1.28 (0.73–2.23) 1.28 (0.74–2.23)
No 1.0 (Ref) 1.0 (Ref) 1.0 (Ref)
Someone smokes cannabis in the home
Yes 5.08 (2.54–10.16)∗ 2.31 (0.99–5.42) 2.26 (0.98–5.20)
No 1.0 (Ref) 1.0 (Ref) 1.0 (Ref)
Someone in primary social group smokes cannabis
Yes 6.43 (4.37–9.45)∗ 4.17 (2.73–6.38)∗ 4.22 (2.76–6.44)∗
No 1.0 (Ref) 1.0 (Ref) 1.0 (Ref)
History of mental health diagnosis
Yes 2.42 (1.67–3.49)∗ 1.82 (1.19–2.79)† 1.82 (1.19–2.78)†
No 1.0 (Ref) 1.0 (Ref) 1.0 (Ref)

Bold font indicates statistical significance.

NA, not applicable; Ref, reference category.

∗

P < 0.001.

†

P < 0.05.

Perceptions of cannabis use

Compared to non-users, those who had used cannabis in the past 12 months were more likely to perceive cannabis as being safe to use, including for those with heart disease (Mann-Whitney U = 52252.50; n1 = 936; n2 = 148; P < 0.001, two-tailed). Cannabis users were also more likely to support the legalization of cannabis (Mann-Whitney U = 36398.50; n1 = 933; n2 = 150; P < 0.001, two-tailed) and to report that they intended to increase their cannabis use now that it had been legalized (X2 = 35.22; P < 0.001).

Patterns of cannabis use

Table 3 presents the characteristics of cannabis users. Among all cannabis users, nearly half reported using cannabis daily. Over two-thirds reported smoking cannabis, and nearly half reported using edibles. Smoking and vaping were the primary means of cannabis delivery. Although half reported using cannabis principally for recreational purposes, almost 30% reported using it for medical reasons without a prescription, and 9.0% reported having a prescription. For pain relief, to relax or to relieve stress and anxiety, and to aid sleep were the most reported reasons for cannabis use. Over 44% (n = 63) reported a history of tobacco and cannabis co-use (ever use and past 6-month use).

Table 3.

Patterns of use among participants who had used cannabis in the past 12 months (n = 150)

Variable n (%), unless otherwise stated
Sex Male 110 (73.3)
Female 40 (26.7)
Age group, y ≤ 44 18 (12.0)
45–64 86 (57.3)
≥ 65 46 (30.7)
Age first tried cannabis, y, mean (SD) 31.0 (57.1)
Missing 7
Primary form of cannabis used Smoking or vaping 84 (59.6)
Edibles 41 (29.1)
Concentrates or topicals or pills or other 16 (11.3)
Missing 9
Smoked cannabis in the past 12 mo (vaping not included) Yes 99 (67.8)
No 47 (32.2)
Missing 4
Consumed edible cannabis in the past 12 mo Yes 65 (44.5)
No 81 (55.5)
Missing 4
Frequency of cannabis use Everyday 68 (47.2)
Every 2–3 days 10 (6.9)
Once a week 16 (11.1)
Once or twice a month 15 (10.4)
Less than once a month 35 (24.3)
Missing 6
Main reason for cannabis use Nonmedical use (recreational) 67 (46.5)
Medical use without a prescription 41 (28.5)
Both medical and nonmedical use 23 (16.0)
Medical use with a prescription 13 (9.0)
Missing 6
Specific reasons for using cannabis For enjoyment/fun or social reasons 76 (53.9)
To alleviate pain 48 (34.0)
For relaxation or to manage anxiety or to relieve stress 48 (34.0)
To help sleep 37 (26.2)
Missing 9
Driven a motor vehicle within 2 h of using cannabis, in past 12 mo Yes 20 (14.0)
No 123 (86.0)
Missing 7
Ever used cannabis and tobacco together Yes 45 (31.5)
No 98 (68.5)
Missing 7
Tobacco use previous 6 mo Yes 47 (31.5)
No 102 (68.5)
Missing 1
Has a healthcare provider ever asked about your cannabis use? Yes 68 (49.6)
No 69 (50.4)
Missing 13
Should a healthcare provider ask about your cannabis use? Yes 102 (70.8)
No 24 (16.7)
I don't know 18 (12.5)
Missing 6
Intention to quit or reduce cannabis in the next 6 mo Yes, planning to quit or reduce 21 (14.7)
Recently quit 34 (23.8)
No plans to quit or reduce 88 (61.5)
Missing 7
Increased personal cannabis use since legalized in Canada Yes 39 (27.5)
No 103 (72.5)
Missing 8
Knowledge of THC content in one’s cannabis Knows dose 40 (28.4)
Does NOT know dose 101 (71.6)
Missing 9
Knowledge of CBD content in one’s cannabis Knows dose 24 (16.7)
Does NOT know dose 120 (83.3)
Missing 6
Knowledge of cannabis dose in one’s edibles Knows dose 23 (33.3)
Does NOT know dose 46 (66.7)
Missing 12
Does not use edibles 69
Knowledge of strain(s) of cannabis used Knows strain used 61 (44.2)
Does NOT know strain used 77 (55.8)
Missing 12
Number of reported higher-risk cannabis-use behaviours per LRCUG, mean (SD) 2.3 (1.2)

CBD, cannabidiol; LRCUG, lower-risk cannabis-use guidelines; SD, standard deviation; THC, tetrahydrocannabinol.

Over one-quarter of cannabis users (n = 39) reported that they had increased their consumption since cannabis became legalized. Nearly all cannabis users (96.7%) reported at least one higher-risk behaviour as per the LRCUGs.

Over 71% (n = 101) of patients did not know the dose of THC in their cannibis, and 83.3% did not know the dose of CBD, and > 55% did not know what strain(s) of cannabis they used (Indica, Sativa, Hybridized) or whether it was synthetic.

Most cannabis users (61.5%) indicated that they did not want to quit or reduce cannabis use in the next 6 months. When intentions to quit were stratified by patients’ main reason for using cannabis, 76.9% of patients (10 of 13) who use cannabis for medical reasons with a prescription had no intentions to quit in the next 6 months, vs 60.0% of recreational users (26 of 65), 60.0% of those using cannabis for medical reasons without a prescription (24 of 40), and 60.9% of those using cannabis for both recreational and medical purposes (14 of 23).

Discussion

To our knowledge, this evaluation provides the first description of patterns of cannabis use among Canadian cardiac inpatients. The prevalence of cannabis use in the previous 12 months among our sample was approximately 14%, with nearly half using cannabis daily. Cardiac patients who used cannabis were most likely to smoke or vape their cannabis and were, on average, 9 years younger than patients who did not use cannabis. Compared to Canada’s LRCUGs, 96.7% of cannabis users reported ≥ 1 higher-risk use behaviour (mean = 2.3, standard deviation = 1.2). Over 60% of cannabis users expressed no intention to quit or reduce cannabis use in the next 6 months. The majority (70.8%) felt that healthcare providers should be discussing cannabis use with patients, despite only half of patients reporting ever being asked if they use cannabis.

Cannabis use rates in cardiac patients may be up to 10% higher than rates reported by Canadians of the same age group in the general population.24 In the third quarter of 2019, the Canadian National Cannabis Survey found that 24.8% (95% CI 22.7%-27.1%) of Canadians aged 25-44 years, and 10.3% (95% CI 9.1%-11.5%) of Canadians aged 45-64 years were current cannabis users (past-3-month use), compared to 36.7% (95% CI 24.3%-50.7%) and 20.3% (95% CI 16.7%-24.3%) in our corresponding age groups, respectively.26 Given the small sample size, different period prevalence (3 vs 12 months), and the larger confidence intervals in our cardiac sample, no definitive conclusions can be drawn.

Factors independently associated with cannabis use in our sample were as follows: being younger than 65 years; having used tobacco in the previous 6 months; having someone in one’s primary social group that smokes cannabis; and having a history of a mental health diagnosis. These findings are consistent with the CCS, which has repeatedly found that Canadians who use cannabis tend to be younger.27, 28, 29, 30, 31 Many studies also have found an association between tobacco use and cannabis use.32, 33, 34 The influence of social environments was observed in the 2020 Canadian National Cannabis Survey, which found that 72% of Canadians who reported using cannabis in the past 12 months had someone in their household who also used cannabis, compared to only 10% of Canadians who had not used cannabis.27 The association between cannabis use and certain mental health diagnoses has been well-documented; a recent Canadian study found that over half of those who used cannabis reported doing so to manage symptoms of mental health issues, particularly those with bipolar disorder (90.8%) and posttraumatic stress disorder (90.7%).35

When the cannabis use characteristics reported among our cardiac inpatient sample were compared to Canada’s LRCUGs,15 nearly all patients had at least one higher-risk use behaviour. This finding is similar to findings of Goodman et al.,36 who examined adherence to LRCUGs in the general population and found that 88.8% of cannabis users reported one or more higher-risk use behaviours. In our sample, over 54% of users consumed cannabis more than once per week, and nearly half were daily users. Any use level above once per week is considered high-risk use, per the LRCUGs.15,16 In comparison, according to the 2019 and the 2020 CCS, only 18% of Canadian cannabis users in the general population reported using cannabis daily.27,31 The most hazardous method of consumption is to smoke cannabis,9,37 the primary form of consumption in over two-thirds of our sample. We also noted that certain misperceptions and knowledge gaps regarding cannabis were present in our patient population and may pose additional risks and challenges. The safety of cannabis use, including for those with heart disease, was perceived as significantly greater by patients who had used cannabis in the previous 12 months compared to non-users. This finding is in contrast with the mounting evidence of the cardiac risks associated with cannabis use.1,2,4 Users demonstrated little knowledge of the dose or proportion of THC and CBD in their cannabis products, or of the strain of cannabis being consumed. Overall, our survey findings suggest that cardiac inpatients are engaging in a variety of higher-risk cannabis-use behaviours, which suggest a potential need for patient education around lower-risk use of cannabis. The 2020 Scientific Statement from the American Heart Association10 also supports these conclusions and recommends increased education about cannabis for patients and clinicians.

It is unclear what would constitute safe or lower-risk cannabis use for an individual with CVD. A 2022 update to the LRCUGs38 has added a recommendation (#11) specifying that those with CVD may be at risk of acute harm from cannabis use, should avoid inhaling high-potency cannabis, and potentially should avoid using cannabis altogether. The type of cannabinoid ingested, be it THC or CBD, may also affect risk for patients with cardiovascular issues. THC, especially high-potency THC, appears to have negative effects on the cardiovascular system.38, 39, 40 Yet very preliminary findings (case-report, observational studies, anecdotal evidence) suggest that CBD could have positive cardiovascular effects.40 When determining what level of cannabis use is safe or lower risk for patients with CVD, one also must determine how cannabis interacts with cardiovascular drugs. Preliminary evidence suggests that cannabis may interact with a variety of cardiovascular medications.10 Overall, further research is needed to develop comprehensive guidance relating to the safe use of cannabis for cardiac patients.

The prevalence of cigarette and cannabis co-use among our sample of cardiac inpatients, was slightly lower than the co-use prevalence among a sample of cannabis users from the general population in Ontario (31.5% vs 41.7%),41 yet the prevalence of mixing tobacco with cannabis was nearly identical (31.1% [95% CI 24.3%-39.4%] vs 31.1% [95% CI 27.0%-35.9%]). The lower percentage of co-use in our sample may be due to the lower prevalence of tobacco use in the Ottawa area (14.6%), compared to that in the rest of Ontario (16.9%).42 The rate of tobacco use among cannabis users was much higher than that among non-users of cannabis in our cardiac inpatient population (31.3% vs 10.9%). A recent observational cohort study of > 35,000 patients seeking tobacco-cessation treatment in Ontario, Canada found that cannabis users were 15% less likely to quit tobacco smoking than were cigarette smokers who did not co-use cannabis (OR 0.85, 95% CI 0.77-0.93).43 Our group found similar results in a recent tobacco-cessation evaluation among hospital inpatients: cannabis use was the strongest predictor of not being able to quit tobacco smoking.44 A recent meta-analysis and narrative review of 20 studies (12 randomized controlled trials and 8 uncontrolled trials) showed weak evidence for the effectiveness of single- or multi-substance interventions for tobacco and/or cannabis cessation.45 Given that tobacco smoking remains the most important modifiable risk factor for primary and secondary prevention of cardiovascular events, more high-quality evidence is needed to determine what interventions may be most effective at helping co-users with smoking cessation. Furthermore, cannabis use may impact other CVD risk factors (ie, physical activity, alcohol use, mental health, healthy eating). More research is needed to understand the relationships between cannabis use and these modifiable risk factors.

Over half of our patients (50.4%) reported that no healthcare provider had ever asked them about their cannabis use; 70.8% of our patients felt that healthcare providers should do so. However, over 60% indicated that they had no intention to quit or reduce cannabis use in the next 6 months. These findings suggest a window of opportunity for healthcare providers to have discussions about cannabis use and provide patients with education and support or referral to cessation services.

Limitations

A cross-sectional survey design was used, as this design is ideal for measuring prevalence, although no causal conclusions can be derived. Attempts were made to minimize interviewer bias by providing training to interviewers and developing a standardized protocol for survey administration. To reduce sampling bias, a patient census was used to contact a consecutive series of patients, and eligibility criteria were made as broad as possible. Future surveys should consider the use of interpreters to capture responses from patients who do not speak English or French. A possible limitation is that nonresponders were significantly and systematically different than responders. Nonresponse bias was minimized by attempting to reach patients when they were in the hospital and at least 5 times via telephone, postdischarge, and by clearly explaining the purpose of the evaluation survey. A high response rate of 73.0% was achieved.

Most responses were self-reported. Studies that have examined the sensitivity and specificity of self-reported cannabis use have found that the sensitivity of self-report of cannabis use, compared to biochemical verification, ranges from 33.9% (prenatal cannabis use)46 to 85.7%47 and that specificity ranges from 84%48 to 99%.49 Overall, the literature supports self-report measures of cannabis use in epidemiologic studies. Patients may not have admitted to using cannabis; thus, the survey results may underestimate the prevalence and characteristics of cannabis use. However, “mis-reporting” rates likely have improved post-legalization.

This evaluation was conducted at one highly specialized tertiary-care cardiac hospital, in Eastern Ontario, Canada, among cardiac inpatients. Due to the single-site design and small sample size, application of these results to other patient populations in other geographic locations should be done with caution.

Conclusion

Cannabis use is prevalent among cardiac patients. Cardiac inpatients who use cannabis are significantly younger than patients who do not use cannabis, and the prevalence among cardiac patients may be higher than that among age-matched people in the general population. Many patients are not following lower-risk-use guidelines, have significant knowledge gaps related to cannabis, and have a low level of intention to quit. Given the known cardiovascular effects of cannabis use, an important approach for health providers is to systematically ask patients about their cannabis use and, when possible, provide education about lower-risk use. Further work is necessary to better understand the combined effects of THC and CBD on the cardiovascular system, and to develop better guidelines, educational tools, and, potentially, interventions for cardiac patients who use cannabis.

Acknowledgements

The authors thank the following individuals who assisted with this evaluation: Janet Wilson, Aditi Garg, Melissa Malette, Frederick Gagnon, Arman Lira, Veronique Rowley, and Sadie Litchfield.

Funding Sources

The authors have no funding sources to declare.

Disclosures

The authors have no conflicts of interest to disclose.

Footnotes

Ethics Statement: This project was reviewed by the Ottawa Health Science Network Research Ethics Board and approved as a quality-improvement evaluation.

See page 322 for disclosure information.

To access the supplementary material accompanying this article, visit CJC Open at https://www.cjcopen.ca/ and at https://doi.org/10.1016/j.cjco.2023.01.005.

Supplementary Material

Supplemental Methods S1
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References

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Supplementary Materials

Supplemental Methods S1
mmc1.pdf (202.5KB, pdf)

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