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Characterization of mental health in cannabis dispensary users, using structured clinical interviews and standardized assessment instruments

BMC Psychiatry volume 19, Article number: 335 (2019) Cite this article

Abstract

Background

Cannabis is commonly used for its medical properties. In particular, cannabis is purported to have beneficial effects on a wide range of neuropsychiatric conditions. Studies assessing mental health in cannabis dispensary users typically evaluate symptoms using self-report check lists, which provide limited information about symptom severity, and whether subjects meet criteria for a psychiatric diagnosis. There is, therefore, a need for studies which assess mental health in dispensary users with standardized and well validated scientific instruments, such as those used in clinical drug trials.

Methods

One hundred medical cannabis users were recruited from a community dispensary. All subjects completed a structured clinical interview with the Mini-International Neuropsychiatric Interview (MINI). Subjects also completed the Perceived Stress Scale-10, PROMIS Fatigue Scale, PROMIS Sleep Disturbance Scale, Beck Depression Inventory, the Patient Health Questionnaire-15 and the Brief Pain Inventory. Details about cannabis use were also recorded.

Results

Lifetime prevalence of mental illness in this cohort was high, and a large proportion of subjects endorsed psychological symptoms. The proportion of subjects who met criteria for classification of a current psychiatric disorder was low for mood disorders, but high for anxiety disorders and substance abuse/dependence. Cannabis use differed between the main psychiatric conditions.

Conclusions

The present results indicate that rates of mental illness may be high in medical cannabis dispensary users. Use of structured clinical assessments combined with standardized symptom severity questionnaires provide a feasible way to provide a more rigorous and detailed evaluation of conditions and symptoms in this population.

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Background

Cannabis is consistently reported as one of the most frequently used drugs worldwide [1]. While it is used predominantly for recreational purposes, there is an increasing body of evidence which indicates that cannabis and its constituent cannabinoids hold therapeutic potential for a wide variety of medical conditions [2]. In particular, cannabis is commonly used to medicate neuropsychiatric symptoms, including pain, insomnia, anxiety, depression and many other disorders that are related to mental health [3,4,5,6]. However, the relationship between cannabis use and mental health is complex, and there are multiple reports that cannabis use is also associated with greater anxiety [7], depression [8] and psychosis [9, 10]. With this in mind, the potential role of cannabis for medical purposes (and especially for neuropsychiatric conditions) should be further clarified, as cannabis gains interest as a supplemental or alternative treatment to conventional medications, and increasingly becomes decriminalised in many parts of the world [11, 12].

One especially common source of medical cannabis for users in Western countries is through community dispensaries [13,14,15], where clients are able to purchase a range of cannabis products. Recent studies have therefore conducted self-report surveys with this population to better understand the specific conditions and symptoms that are being targeted by medical cannabis users. These studies have been invaluable in furthering our understanding of medical cannabis use in the general population, and have reinforced the point that the majority of medical cannabis users consume the product for neuropsychiatric conditions [16,17,18]. However, self-report check-list surveys typically provide limited granularity of mental health symptoms, and symptom severity is rarely quantified.

Thus, there is a need for studies which assess mental health in dispensary users with standardized and well validated scientific instruments, such as those used in clinical drug trials. This will significantly extend the literature by providing an in-depth characterization of the neuropsychiatric features of medical cannabis users with implications for improved medical management. The goal of the present study was therefore to measure mental health and psychiatric symptom severity in a non-epidemiological sample of medical cannabis users from a dispensary in Vancouver, Canada. A structured clinical interview was completed to determine whether participants met criteria for a current or lifetime diagnosis of a major psychiatric disorder. In addition, subjects completed seven standardized questionnaires to quantify symptom severity in the domains of stress, fatigue, insomnia, pain, depression, somatic symptoms and nicotine dependence. These seven diverse questionnaires were chosen because medical cannabis is used for a broad spectrum of conditions related to mental health, and this will often include symptoms that are not included in the diagnoses of specific psychiatric disorders (such as stress) but which contribute significantly to overall mental health and quality of life, and represent a major reason for using medical cannabis. Our hypothesis was that we would identify subjects both with valid psychiatric disorders as well as many individuals who did not meet criteria for a psychiatric disorder, yet had a wide range of mental health issues, and therefore the questionnaires were chosen to capture and quantify the diverse range of these sub-syndromal symptoms. Findings were combined with extensive data on cannabis use to provide a detailed picture of mental health in the dispensary population.

Methods

Study population

Participants (n = 100) were consecutively recruited exclusively from the Evergreen Cannabis Society compassion club, which is a cannabis dispensary in Vancouver, Canada. Participants were eligible for the study if they were 19 years old or older, a current member of Evergreen, and able to give informed consent. All subjects provided written informed consent. The study was approved by the Behavioural Research Ethics Board of the University of British Columbia (protocol H16–01830). Subjects were recruited through flyers at Evergreen advertising a study on the medical benefits of cannabis. Participants were given an honorarium of $50 for their time, which took approximately 4 h to complete per subject (including time to complete subject consenting, fill out the questionnaires and conduct the Mini-International Neuropsychiatric Interview (MINI). The honorarium was provided by the graduate student (JCY) at the end of the interview. Once subjects had been consented, all subjects completed the interviews and none withdrew. No subjects were excluded during the study, for reasons such as obvious intoxication or being a non-cannabis user.

Measures

Detailed demographic information was collected, including age, gender, marital status, living status, education, and current employment. Specific questions regarding cannabis characteristics were also recorded, including age of first cannabis use, conditions or symptoms for which cannabis was used medically, preferred consumption method, frequency and time of day of cannabis use, amount of cannabis consumed, preferred cannabinoid content and any negative experiences from using cannabis. Data for these and other forms was uploaded onto a password-controlled, encrypted laptop and then transferred to the secure servers at British Columbia Children’s Hospital.

Six self-report questionnaires were administered, in order to obtain detailed information about the individual’s general well-being and mental health. These included the Perceived Stress Scale 10 (PSS10), Patient Reported Outcomes Measurement Information System (PROMIS) Fatigue Scale, PROMIS Sleep Disturbance Scale, Beck Depression Inventory-II (BDI-II), the Patient Health Questionnaire 15 (PHQ-15) and the Brief Pain Inventory (BPI). Participants who indicated that they currently smoke cigarettes also completed the Fagerström Test for Nicotine Dependence (FTND). All seven questionnaires are used commonly in the field of clinical research, and each has been well validated and determined to be reliable [19,20,21,22,23,24,25]. The questionnaires were all administered and collected by the graduate student (JCY) and completed in a quiet, private space at the dispensary.

The PSS10 enables the participant to rate their life in terms of unpredictability, lack of control and stress overload [19]. It consists of 10 items, which include 6 positively phrased items and 4 negatively phrased items that are rated on a 5-point Likert scale. Total score indicates levels of perceived stress. The PROMIS fatigue scale rates how tired participants were over the past 7 days [26]. Items on the fatigue scale are split into “experience of fatigue” - specifically the frequency, duration and intensity - as well as the physical, mental and social effects the fatigue caused. The PROMIS sleep disturbance scale is an 8-item measure for sleep disturbance in adults, during the past 7 days [26]. Both the PROMIS Fatigue and Sleep Disturbance scales are rated on a 5-point scale. The BDI-II is a self-report rating inventory with 21-items that evaluates depressive symptoms and attitudes over the past 2 weeks [27]. Total scores categorize severity of depression: 1–13 = normal; 14–19 = mild depression; 20–28 = moderate depression; 29–63 = severe depression. The PHQ-15 is a diagnostic tool that measures 15 somatic symptoms [28]. Total PHQ-15 scores of 5, 10, and 15 signify cut-off points for low, medium and high severity of somatic symptoms, respectively. The BPI evaluates pain severity and the impact that pain has on daily functioning [29]. In the first question, participants select if they had any pain in specific areas of their body beyond regular aches and pain, and only complete the remainder of the pain questionnaire if this is the case. They then rate their worst, least, average and current pain intensity. They also rate the degree of interference the pain has with general activity. The FTND assesses addiction to nicotine [30]. Dependency levels are categorized as low (0–2 points), average (3–5 points), strong (6–7 points) to very strong (8–10 points).

MINI

In order to determine whether participants met criteria for a psychiatric diagnosis, the MINI version 6 was administered. It is a structured clinical interview used to make diagnoses of psychiatric disorders based on the Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV) and the International Classification of Diseases, 10th edition (ICD-10) [31]. All MINIs were conducted by the graduate student (JCY), who was trained extensively in how to conduct the interview, as per our ongoing studies with cohorts with mental health and addiction issues [32,33,34,35,36,37]. The MINI was conducted in a quiet, private space at the cannabis dispensary.

ICD-10 codes for diagnoses captured in this version of the MINI are: Depressive episode: F32; Mild depressive episode: F32.0; Moderate depressive episode: F32.1; Severe depressive episode without psychotic symptoms: F32.2; Severe depressive episode with psychotic symptoms: F32.3; Other depressive episodes: F32.8; Depressive episode, unspecified: F32.9; Recurrent depressive disorder: F33; Manic episode: F30; Hypomania: F30.0; Mania without psychotic symptoms: F30.1; Mania with psychotic symptoms: F30.2; Other manic episodes: F30.8; Manic episode, unspecified F30.9; Bipolar affective disorder: F31; Bipolar affective disorder, current episode hypomanic: F31.0; Bipolar affective disorder, current episode manic without psychotic symptoms: F31.1; Bipolar affective disorder, current episode manic with psychotic symptoms: F31.2; Bipolar affective disorder, current episode mild or moderate depression: F31.3; Bipolar affective disorder, current episode severe depression without psychotic symptoms: F31.5; Bipolar affective disorder, current episode mixed F31.6; Other bipolar affective disorders: F31.8; Bipolar affective disorder, unspecified: F31.9; Suicidality: Suicide attempt: T14.91; Suicidal ideation: R45.851; Personal history of self-harm (suicide attempt): Z91.5; Intentional self-harm suicide attempt: X60-X84; Anxiety: Agoraphobia: F40.0; Social phobia: F40.1; Panic disorder: F41.0; Generalized anxiety disorder: F41.1; Post-traumatic stress disorder: F43.1; Other specified anxiety disorders: F41.8; Obsessive-compulsive disorder: F42; Drug Abuse: Alcohol dependence: F10.20; Alcohol abuse: F10.10; Other psychoactive substance abuse (uncomplicated): F19.10; Other psychoactive substance dependence (uncomplicated): F19.20; Miscellaneous: Acute and transient psychotic disorders: F23; Anorexia nervosa: F50.0; Bulimia nervosa: F50.2; Dissocial (antisocial) personality disorder: F60.2.

Data analysis

Descriptive analysis was performed on participant demographics, cannabis characteristics, questionnaire results and MINI diagnoses. Continuous data were tested for normality with the Shapiro–Wilk test. The independent t-test was used for normally distributed continuous variables, whilst the Mann–Whitney U test was used for non-normal continuous variables. Categorical data were analysed using Chi-squared tests. All analyses were performed using the Statistical Package for the Social Sciences (SPSS) software version 24 (SPSS Inc., Armonk, USA).

Results

Descriptive

Descriptive analyses (Table 1) of the demographics indicated that participants were mostly male (68%), aged between 19 and 30 years (59%), single/never married (69%), and of Caucasian ethnicity (66%). Most lived with roommates/friends (45%) or spouse/significant other/children (26%), while the highest education level most participants achieved was a college degree (46%). Job classification varied widely, while participants worked most commonly full time/35h hours per week (33%).

Table 1 Demographic characteristics of subjects (n = 100) enrolled in the study
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MINI and psychiatric diagnoses

Based on the results of the MINI (Fig. 1), 50% of participants had experienced a Major Depressive Episode (MDE) in the past, and only 3% participants had a MDE currently. Similarly, 33% of participants were diagnosed with past Major Depressive Disorder (MDD) and only 3% with current MDD. Anxiety related disorders were relatively common, with a total of 43% of participants being diagnosed with any anxiety disorder; all anxiety disorders are current (past 6 months), as the MINI does not record past episodes. Non-alcohol substance dependence and substance abuse was diagnosed for 30 and 42% of participants, respectively, while alcohol dependence (20%) and alcohol abuse (25%) diagnoses were also noted. Diagnoses for drug dependence are current (within the past year) only for the MINI. In total, 80% subjects met criteria in the MINI for any lifetime diagnosis of at least one psychiatric disorder, and 65% met criteria for two or more disorders. Sixty six percent of subjects met criteria for at least one current psychiatric disorder, and 52% met criteria for at least two or more current disorders.

Fig. 1
figure 1

a Relative rates of major psychiatric disorders, based on diagnosis with the Mini International Neuropsychiatric Interview. Note that the MINI only evaluates for alcohol and substance abuse within the past 12 months, denoted here as “current” substance use disorder. “Any Anxiety Disorder” includes lifetime panic disorder, current agoraphobia, current social anxiety disorder, current obsessive compulsive disorder, current post-traumatic disorder, and current generalized anxiety disorder. b Types of substances causing substance use disorder. The bars depict the rates of dependence, and abuse that does not meet criteria for dependence; bars are clustered by the type of substance. The MINI evaluates for abuse of alcohol and non-alcoholic substances separately, therefore it is possible for a subject to be diagnosed with both an alcohol and non-alcoholic substance use disorder. “Other drugs” includes cocaine, heroin, methamphetamine, clonazepam, 3,4-methylenedioxymethamphetamine, and 3-fluorophenmetrazine

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Mental and general health

From the PSS10, 37% of subjects had low, 57% had moderate, and 5% had high perceived stress (Table 2). From the PHQ-15, 43% of participants ranked minimal, 32% ranked low, 21% ranked medium and 4% ranked high somatic symptoms. For the BPI, 35 participants answered that they felt additional pain, and mean scores of pain rating and pain interference were 14.7 (± 10.3) and 15.4 (± 12.4) respectively. Ninety eight percent of subjects completed the PROMIS sleep disturbance, with an average T-score of 46.7 (± 8.5). All participants completed the PROMIS fatigue questionnaire, with an average T-score of 51.1 (± 7.7). The BDI scores were mostly normal (83%), with 9% scoring mild depression, 7% as moderate depression and 1% are severe depression. Only regular smokers were eligible to complete the FTND (n = 21), which indicated that 47.6% ranked low nicotine dependence, 38.0% ranked average dependence, and 14.3% ranked high dependence.

Table 2 Scores for the 8 different symptom severity questionnaires administered to subjects in the study (n = 100). Analysis includes standard cut-off values recommended for categorization of symptoms into rankings of increasing severity
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Cannabis use characteristics

Age of first cannabis use was most commonly 16–20 years (56%) (Table 3). Most subjects starting using cannabis regularly at ages 16–20. Reasons for starting medical cannabis included: “conventional treatments don’t work” (20%) and “wanted a natural treatment” (51%), which may anecdotally reflect the high rates of medication errors and side-effects associated with many psychiatric medications [38,39,40].

Table 3 Characteristics of cannabis use by subjects (n = 100) enrolled in the study
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Conditions treated with medical cannabis included most commonly (subjects could indicate as many as appropriate): anxiety/stress (77%), depression (47%) and insomnia (53%). When subjects were asked to choose one specific condition as their primary reason for using medical cannabis, anxiety (43%) was the most common condition. Other common primary conditions included insomnia/sleep issues (18%) and depression (16%). Common reasons against using conventional treatments included that they were “not effective” (40%), had side effects (50%), were expensive (23%), or other reasons (35%), such as “strong preference against using man-made pills” or “not a long-term solution”. Members of the Evergreen compassion club most often visited once a week (39%).

Smoking was the most preferred form of cannabis consumption (71%) and dried cannabis (91%) was the most commonly bought cannabis product. Subjects used cannabis most commonly in the evening. Preference for cannabinoid concentration was broad, with subjects expressing a preference for high tetrahydrocannabinol (THC) /low cannabidiol (CBD) (35%), equal THC/CBD (35%), low THC/high CBD (21%), pure THC (20%) and pure CBD (18%). Details about cannabinoids are provided in Table 4. Fifty five percent of participants experienced negative effects from medical cannabis, including anxiety (n = 36), paranoia (n = 26) and short-term memory loss (n = 25).

Table 4 Cannabinoid concentrations based on the top strains sold at the Evergreen Dispensary
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Specific psychiatric disorders

As a follow up, we conducted exploratory analyses of the characteristics of cannabis users with the three most common lifetime psychiatric disorders, as determined by the MINI, to see if there were differences in cannabis use between conditions (Table 5). These included lifetime depression, anxiety and substance abuse (excluding cannabis dependence) and were co-occurring in a number of cases. On the self-report questionnaires, both the anxiety and depression groups exhibited significantly greater scores on the PSS10, PROMIS Fatigue, BDI and PHQ-15 tests compared to those without these conditions in the cohort, while the substance abuse group had higher scores on the PSS10 and BDI. On cannabis use, the anxiety group was more likely than non-anxiety subjects to use tinctures or capsules, have a doctor recommendation for cannabis, use CBD capsules or pure CBD, use on an “as-needed” basis, and experience negative side-effects. The lifetime depression group had a higher proportion of females than the non-depressed group, were more likely to use CBD capsules, and use cannabis depending on symptoms. In addition, participants diagnosed with lifetime depression visited the dispensary more frequently, around two or three times a week, than participants without depression. The substance use disorder group were younger than non-substance users, used cannabis because they believed that conventional treatments do not work, visited the dispensary more often, and were more likely to smoke cannabis (but less likely to vape or use tinctures).

Table 5 Exploratory analyses of subjects who met criteria for the three most common psychiatric disorders based on the MINI interview. Analyses compared those who met criteria for the disorder to those who did not. For substance dependence, people who had only the cannabis form of dependence were excluded from analysis, as they were predicted a priori to have higher rates of cannabis use
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Discussion

In the present study, we conducted an in depth evaluation of the mental health of one hundred medical cannabis users at a community dispensary. By using a standardized, structured clinical interview combined with established self-report questionnaires, we were able to obtain detailed information about the prevalence of major psychiatric conditions, as well as symptom severity of depression and a range of other measures of mental health. These results were then combined with the extensive data on cannabis use to create a detailed profile of mental health in the dispensary population. Overall, we observed that lifetime prevalence of mental illness in this population was high, and a large proportion of subjects endorsed psychological symptoms. The proportion of subjects who met criteria for classification of a current major psychiatric disorder was low for mood disorders, but high for anxiety disorders and substance abuse/dependence.

Most importantly, the results of the MINI interviews, which includes criteria for 23 diagnostic psychiatric disorders from the DSM-IV [31], indicated that the lifetime rates of mental disorders were high compared to the general Canadian population. The 2012 Canadian Community Health Survey study determined that 33.1% of Canadians met the criteria for a major mental or substance use disorder at some point in their life [41]. This included 12.6% of Canadians meeting criteria for lifetime depression and 8.7% of Canadians meeting criteria for lifetime generalised anxiety disorder. In our study, 80% of the dispensary clients met criteria for a major lifetime psychiatric disorder – more than double that of the general population. Indeed, this is likely an underestimate, as the MINI only records current (but not past) anxiety and dependence disorders. Our cohort included 33% who had experienced major depression in their lifetime, and 16% who had current generalized anxiety disorder – again, rates that are much higher than in the general population. While the present study was not designed as an epidemiological study, there are no obvious demographic biases that are likely to account for the high rates of mental illness; for example, both lifetime depression and anxiety disorders were very common in subjects, yet the cohort was mostly male, who typically exhibit lower rates of mood and anxiety disorders than females [42,43,44]. The study was also conducted in one of the more affluent neighbourhoods of the city, and three quarters of subjects had some level of college education. Nevertheless, more epidemiologically robust studies in the future are required to draw firm conclusions about the prevalence of lifetime mental illness at dispensaries, compared to the general populace.

Current symptom severity was assessed for a spectrum of psychological symptoms using seven well validated, standardized self-report questionnaires. With the exception of the BDI, these questionnaires do not map directly on to a specific psychiatric disorder (although they may be important individual symptoms), and so should be seen as complementary to the findings from the MINI. They provide measures of mental health, including stress and sleep quality, which are not diagnostic conditions per se, but reflect common issues for psychological well-being, and are likely an important reason for use of medical cannabis. While the PROMIS scales for sleep and fatigue do not provide rankings, all of the other scales have specific cut-off scores which allow determination of whether an individual’s symptoms are in the “normal” category, or more severe. In this dispensary cohort, 62% endorsed “moderate” or greater perceived stress on the PSS10, 57% were above “minimal” ranking on the PHQ-15, 34% were above “normal” for the BPI, 17% were above “normal” on the BDI, and 11% had greater than “low” dependence on the FTND. Overall, 82% of participants scored above normal for at least one of these five questionnaires, and 55% scored above normal for two or more, indicating that psychological distress was common. These numbers also exclude the results from the two PROMIS questionnaires, and do not capture symptom severity related to anxiety or drug dependence (other than tobacco), which were two of the three most common conditions detected with the MINI. Thus, psychological symptoms of above normal severity were the norm in this population. Interestingly, however, few subjects achieved scores in the more severe categories of these five scales. This is consistent with the results of the MINI for mood disorders, where few subjects met the criteria for a current diagnosis. However, it is also worth considering that the cut-off values used in the present study, as provided by the test creators, have an unknown validity in this population of medical cannabis users, and future studies should determine the psychometric validity of these values.

Subjects’ self-reported reasons for using medical cannabis were in general agreement with the results of the MINI and questionnaires. When asked why they used medical cannabis, the top four reasons chosen from a check list included anxiety, sleep, depression and pain, consistent with reports from other check list dispensary studies [45,46,47,48]. Anxiety disorders were the most common MINI diagnosis in this cohort, and lifetime depression was also common. The standard MINI does not assess sleep or pain disorders, but these symptoms are commonly associated with substance dependence [49,50,51], which was a frequent MINI diagnosis (40%). Importantly, for both anxiety and depression, a substantially greater proportion of subjects selected this option from the self-report checklist than met criteria for a current or lifetime disorder. It is therefore likely than many subjects experience symptoms associated with these disorders, but of a milder severity or fewer in number than required for a DSM or ICD diagnosis. The results from the standardized questionnaires support this hypothesis, as many subjects endorsed symptoms of stress, pain and depression above normal, but not in the more severe categories. Subjects with milder symptoms might therefore experience barriers to accessing pharmaceutical treatments, or may find a better balance between therapeutic benefits and side-effects with medical cannabis. Additionally, a proportion of these subjects may actually be manging their symptoms effectively with cannabis. Indeed, only 23% of subjects self-reported pharmaceutical treatments, including past or current use of antidepressant, anxiolytic, or antipsychotic medication, despite the high rate of psychiatric diagnoses within our population.

Overall cannabis use in the dispensary cohort reflected a broad range of behaviour. Subjects differed widely in the amount of cannabis consumed and how frequently it was ingested. While most people smoked cannabis, and preferred to use the dried plant product, a significant proportion of individuals consumed other forms, such as capsule and tinctures. Our exploratory analyses indicated that patterns of medical cannabis use differed, depending on the specific psychiatric disorder involved. This included the route of administration, when the product was used in relation to symptoms, and the CBD:THC ratio. It is therefore important for cannabis studies to not treat medical cannabis users as a homogeneous group [52, 53], as individuals appear to tailor their use depending on the psychiatric condition they are trying to treat. While the present study was not able to determine the clinical efficacy of cannabis products, it does provide important insight into the symptoms and patterns of use that everyday medical cannabis consumers use to treat their symptoms. Many of these symptoms are in the mild-to-moderate range, and it is therefore likely than many individuals are able to find some relief through self-medication with cannabis [54]. Additional important information, presently not collected, would have been to determine who prescribed the medical cannabis to clients (physician, nurse practitioner or naturopath) to determine if this differed in terms of cannabis use or mental health condition.

The present study has a number of limitations. Firstly, as noted above, the sample was not selected using standard epidemiological techniques, and so extrapolation to the general population as a whole is not valid. Nevertheless, the subjects were chosen at random, and so it is probably representative at least of the types of individuals who use cannabis dispensaries. Secondly, the modest size of the cohort means that it was not possible to compare extensively details about cannabis use between all of the different psychiatric diagnoses that can be determined with the MINI. For anxiety disorders, depression and drug dependence, there were sufficient numbers to validly compare symptom severity and patterns of cannabis use, but for others (such as post-traumatic stress disorder) a larger number of subjects would have been needed. Thirdly, several participants reported medical cannabis use to treat focus and attention disorders, such as attention deficit hyperactivity disorder (ADHD), but a diagnostic test is not included in the MINI neuropsychiatric test version 6. Fourthly, anxiety symptom severity was not measured using an objective and validated questionnaire, such as the Generalized Anxiety Disorder 7-item (GAD-7) form.

Conclusions

In summary, the findings of the current study indicate that both lifetime and current psychiatric illness occur with a high prevalence in medical cannabis users. Distressful psychological symptoms were also endorsed by a large proportion of the population, although these may often be of a lower intensity than needed for a psychiatric diagnosis. Results were determined with the use of a structured clinical assessment combined with standardized symptom severity questionnaires, similar to those used in clinical drug trials. This rigorous data adds to the extant literature on mental illness in dispensaries, which is largely based on check list surveys (although see [45]). Future studies using the same rigor of psychiatric evaluation but with larger sample sizes will allow detailed patterns of medical cannabis use to be determined for a wider range of disorders, and better determine the potential benefits of medical cannabis for mental illness.

Availability of data and materials

The datasets generated and/or analysed during the current study are not publicly available due to the sensitive nature of clinical information about mental health and drug use, but may be available in collaboration with the corresponding author on reasonable request.

Abbreviations

ADHD:

Attention Deficit Hyperactivity Disorder

BDI:

Beck Depression Inventory

BPI:

Brief Pain Inventory

CBD:

Cannabidiol

DSM-IV:

Diagnostic and Statistical Manual of Mental Disorders, 4th edition

FTND:

Fagerström Test for Nicotine Dependence

GAD-7:

Generalized Anxiety Disorder 7-item

ICD-10:

International Classification of Diseases, 10th edition

MDD:

Major Depressive Disorder

MDE:

Major Depressive Episode

MINI:

Mini-International Neuropsychiatric Interview

PHQ-15:

Patient Health Questionnaire 15-item

PROMIS:

Patient Reported Outcomes Measurement Information System

PSS10:

Perceived Stress Scale 10-item

SPSS:

Statistical Package for the Social Sciences

THC:

Tetrahydrocannabinol

References

  1. Gowing LR, Ali RL, Allsop S, Marsden J, Turf EE, West R, Witton J. Global statistics on addictive behaviours: 2014 status report. Addiction. 2015;110(6):904–19.

    Article  PubMed  Google Scholar 

  2. Schrot RJ, Hubbard JR. Cannabinoids: Medical implications. Ann Med. 2016;48(3):128–41.

    Article  CAS  PubMed  Google Scholar 

  3. Park JY, Wu LT. Prevalence, reasons, perceived effects, and correlates of medical marijuana use: a review. Drug Alcohol Depend. 2017;177:1–13.

    Article  PubMed Central  PubMed  Google Scholar 

  4. Suryadevara U, Bruijnzeel DM, Nuthi M, Jagnarine DA, Tandon R, Bruijnzeel AW. Pros and cons of medical Cannabis use by people with chronic brain disorders. Curr Neuropharmacol. 2017;15(6):800–14.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  5. Osborn LA, Lauritsen KJ, Cross N, Davis AK, Rosenberg H, Bonadio F, Lang B. Self-medication of somatic and psychiatric conditions using botanical marijuana. J Psychoactive Drugs. 2015;47(5):345–50.

    Article  PubMed  Google Scholar 

  6. Sarvet AL, Wall MM, Keyes KM, Olfson M, Cerda M, Hasin DS. Self-medication of mood and anxiety disorders with marijuana: higher in states with medical marijuana laws. Drug Alcohol Depend. 2018;186:10–5.

    Article  PubMed Central  PubMed  Google Scholar 

  7. Crippa JA, Zuardi AW, Martin-Santos R, Bhattacharyya S, Atakan Z, McGuire P, Fusar-Poli P. Cannabis and anxiety: a critical review of the evidence. Hum Psychopharmacol. 2009;24(7):515–23.

    Article  CAS  PubMed  Google Scholar 

  8. Lev-Ran S, Roerecke M, Le Foll B, George TP, McKenzie K, Rehm J. The association between cannabis use and depression: a systematic review and meta-analysis of longitudinal studies. Psychol Med. 2014;44(4):797–810.

    Article  CAS  PubMed  Google Scholar 

  9. Murray RM, Englund A, Abi-Dargham A, Lewis DA, Di Forti M, Davies C, Sherif M, McGuire P, D'Souza DC. Cannabis-associated psychosis: neural substrate and clinical impact. Neuropharmacology. 2017;124:89–104.

    Article  CAS  PubMed  Google Scholar 

  10. Willi TS, Honer WG, Thornton AE, Gicas K, Procyshyn RM, Vila-Rodriguez F, Panenka WJ, Aleksic A, Leonova O, Jones AA, et al. Factors affecting severity of positive and negative symptoms of psychosis in a polysubstance using population with psychostimulant dependence. Psychiatry Res. 2016;240:336–42.

    Article  PubMed  Google Scholar 

  11. Grucza RA, Vuolo M, Krauss MJ, Plunk AD, Agrawal A, Chaloupka FJ, Bierut LJ. Cannabis decriminalization: a study of recent policy change in five U.S. states. Int J Drug Policy. 2018;59:67–75.

    Article  PubMed Central  PubMed  Google Scholar 

  12. Hajizadeh M. Legalizing and regulating marijuana in Canada: review of potential economic, social, and health impacts. Int J Health Policy Manag. 2016;5(8):453–6.

    Article  PubMed Central  PubMed  Google Scholar 

  13. Haug NA, Kieschnick D, Sottile JE, Babson KA, Vandrey R, Bonn-Miller MO. Training and practices of Cannabis dispensary staff. Cannabis and cannabinoid research. 2016;1(1):244–51.

    Article  PubMed Central  PubMed  Google Scholar 

  14. Klieger SB, Gutman A, Allen L, Pacula RL, Ibrahim JK, Burris S. Mapping medical marijuana: state laws regulating patients, product safety, supply chains and dispensaries, 2017. Addiction. 2017;112(12):2206–16.

    Article  PubMed Central  PubMed  Google Scholar 

  15. Lough S. Dispensaries: the wild West of Vancouver. Cmaj. 2015;187(11):E345–6.

    Article  PubMed Central  PubMed  Google Scholar 

  16. Sexton M, Cuttler C, Finnell JS, Mischley LK. A Cross-sectional survey of medical Cannabis users: patterns of use and perceived efficacy. Cannabis and cannabinoid research. 2016;1(1):131–8.

    Article  PubMed Central  PubMed  Google Scholar 

  17. Piper BJ, Beals ML, Abess AT, Nichols SD, Martin MW, Cobb CM, DeKeuster RM. Chronic pain patients' perspectives of medical cannabis. Pain. 2017;158(7):1373–9.

    Article  PubMed Central  PubMed  Google Scholar 

  18. Corroon JM Jr, Mischley LK, Sexton M. Cannabis as a substitute for prescription drugs - a cross-sectional study. J Pain Res. 2017;10:989–98.

    Article  PubMed Central  PubMed  Google Scholar 

  19. Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983;24(4):385–96.

    Article  CAS  PubMed  Google Scholar 

  20. Cella D, Lai JS, Jensen SE, Christodoulou C, Junghaenel DU, Reeve BB, Stone AA. PROMIS fatigue item Bank had clinical validity across diverse chronic conditions. J Clin Epidemiol. 2016;73:128–34.

    Article  PubMed Central  PubMed  Google Scholar 

  21. Buysse DJ, Yu L, Moul DE, Germain A, Stover A, Dodds NE, Johnston KL, Shablesky-Cade MA, Pilkonis PA. Development and validation of patient-reported outcome measures for sleep disturbance and sleep-related impairments. Sleep. 2010;33(6):781–92.

    Article  PubMed Central  PubMed  Google Scholar 

  22. Moore AA, Neale MC, Silberg JL, Verhulst B. Substance use and depression symptomatology: measurement invariance of the Beck depression inventory (BDI-II) among non-users and frequent-users of alcohol, Nicotine and Cannabis. PLoS One. 2016;11(4):e0152118.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  23. Kocalevent RD, Hinz A, Brahler E. Standardization of a screening instrument (PHQ-15) for somatization syndromes in the general population. BMC Psychiatry. 2013;13:91.

    Article  PubMed Central  PubMed  Google Scholar 

  24. Keller S, Bann CM, Dodd SL, Schein J, Mendoza TR, Cleeland CS. Validity of the brief pain inventory for use in documenting the outcomes of patients with noncancer pain. Clin J Pain. 2004;20(5):309–18.

    Article  PubMed  Google Scholar 

  25. Pomerleau CS, Carton SM, Lutzke ML, Flessland KA, Pomerleau OF. Reliability of the Fagerstrom tolerance questionnaire and the Fagerstrom test for nicotine dependence. Addict Behav. 1994;19(1):33–9.

    Article  CAS  PubMed  Google Scholar 

  26. Group PC: User Manual: Patient-reported outcomes measurement information system (PROMIS), Version 1.1. Unpublished Manual for the Patient Reported Outcomes Measurement Information System (PROMIS). In.; 2008.

  27. Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J. An inventory for measuring depression. Arch Gen Psychiatry. 1961;4:561–71.

    Article  CAS  PubMed  Google Scholar 

  28. Kroenke K, Spitzer RL, Williams JB. The PHQ-15: validity of a new measure for evaluating the severity of somatic symptoms. Psychosom Med. 2002;64(2):258–66.

    Article  PubMed  Google Scholar 

  29. Cleeland CS, Ryan KM. Pain assessment: global use of the brief pain inventory. Ann Acad Med Singap. 1994;23(2):129–38.

    CAS  PubMed  Google Scholar 

  30. Heatherton TF, Kozlowski LT, Frecker RC, Fagerstrom KO. The Fagerstrom test for nicotine dependence: a revision of the Fagerstrom tolerance questionnaire. Br J Addict. 1991;86(9):1119–27.

    Article  CAS  PubMed  Google Scholar 

  31. Sheehan DV, Lecrubier Y, Sheehan KH, Amorim P, Janavs J, Weiller E, Hergueta T, Baker R, Dunbar GC. The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry. 1998;59(Suppl 20):22–33 quiz 34–57.

    PubMed  Google Scholar 

  32. Alexander PD, Gicas KM, Willi TS, Kim CN, Boyeva V, Procyshyn RM, Smith GN, Thornton AE, Panenka WJ, Jones AA, et al. A comparison of psychotic symptoms in subjects with methamphetamine versus cocaine dependence. Psychopharmacology. 2017;234(9–10):1535–47.

    Article  CAS  PubMed  Google Scholar 

  33. Willi TS, Lang DJ, Honer WG, Smith GN, Thornton AE, Panenka WJ, Procyshyn RM, Vila-Rodriguez F, Su W, Vertinsky AT, et al. Subcortical grey matter alterations in cocaine dependent individuals with substance-induced psychosis compared to non-psychotic cocaine users. Schizophr Res. 2016;176(2–3):158–63.

    Article  PubMed  Google Scholar 

  34. Vila-Rodriguez F, Panenka WJ, Lang DJ, Thornton AE, Vertinsky T, Wong H, Barr AM, Procyshyn RM, Sidhu JJ, Smith GN, et al. The hotel study: multimorbidity in a community sample living in marginal housing. Am J Psychiatry. 2013;170(12):1413–22.

    Article  PubMed  Google Scholar 

  35. Alexander PD, Gicas KM, Cheng A, Lang DJ, Procyshyn RM, Vertinsky AT, Panenka WJ, Thornton AE, Rauscher A, Wong JYX, et al. A comparison of regional brain volumes and white matter connectivity in subjects with stimulant induced psychosis versus schizophrenia. Psychopharmacology. 2019.

  36. Tang VM, Lang DJ, Giesbrecht CJ, Panenka WJ, Willi T, Procyshyn RM, Vila-Rodriguez F, Jenkins W, Lecomte T, Boyda HN, et al. White matter deficits assessed by diffusion tensor imaging and cognitive dysfunction in psychostimulant users with comorbid human immunodeficiency virus infection. BMC Res Notes. 2015;8:515.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  37. Lecomte T, Mueser KT, MacEwan W, Thornton AE, Buchanan T, Bouchard V, Goldner E, Brink J, Lang D, Kang S, et al. Predictors of persistent psychotic symptoms in persons with methamphetamine abuse receiving psychiatric treatment. J Nerv Ment Dis. 2013;201(12):1085–9.

    Article  PubMed  Google Scholar 

  38. Procyshyn RM, Barr AM, Brickell T, Honer WG. Medication errors in psychiatry: a comprehensive review. CNS Drugs. 2010;24(7):595–609.

    Article  PubMed  Google Scholar 

  39. Whitney Z, Procyshyn RM, Fredrikson DH, Barr AM. Treatment of clozapine-associated weight gain: a systematic review. Eur J Clin Pharmacol. 2015;71(4):389–401.

    Article  CAS  PubMed  Google Scholar 

  40. Tse L, Procyshyn RM, Fredrikson DH, Boyda HN, Honer WG, Barr AM. Pharmacological treatment of antipsychotic-induced dyslipidemia and hypertension. Int Clin Psychopharmacol. 2014;29(3):125–37.

    Article  PubMed  Google Scholar 

  41. Pearson C, Janz T, Ali J: Mental and substance use disorders in Canada. In: Health at a Glance. Statistics Canada; 2013.

  42. Albert PR. Why is depression more prevalent in women? J Psychiatry Neurosci. 2015;40(4):219–21.

    Article  PubMed Central  PubMed  Google Scholar 

  43. Patten SB, Williams JV, Bulloch AG. Major depressive episodes and mortality in the Canadian household population. J Affect Disord. 2019;242:165–71.

    Article  PubMed  Google Scholar 

  44. McLean CP, Asnaani A, Litz BT, Hofmann SG. Gender differences in anxiety disorders: prevalence, course of illness, comorbidity and burden of illness. J Psychiatr Res. 2011;45(8):1027–35.

    Article  PubMed Central  PubMed  Google Scholar 

  45. Zaller N, Topletz A, Frater S, Yates G, Lally M. Profiles of medicinal cannabis patients attending compassion centers in Rhode Island. J Psychoactive Drugs. 2015;47(1):18–23.

    Article  PubMed  Google Scholar 

  46. Kepple NJ, Mulholland E, Freisthler B, Schaper E. Correlates of amount spent on marijuana buds during a discrete purchase at medical marijuana dispensaries: results from a pilot study. J Psychoactive Drugs. 2016;48(1):50–5.

    Article  PubMed Central  PubMed  Google Scholar 

  47. Cohen NL, Heinz AJ, Ilgen M, Bonn-Miller MO. Pain, Cannabis species, and Cannabis use disorders. Journal of studies on alcohol and drugs. 2016;77(3):515–20.

    Article  PubMed Central  PubMed  Google Scholar 

  48. Haug NA, Padula CB, Sottile JE, Vandrey R, Heinz AJ, Bonn-Miller MO. Cannabis use patterns and motives: a comparison of younger, middle-aged, and older medical cannabis dispensary patients. Addict Behav. 2017;72:14–20.

    Article  PubMed Central  PubMed  Google Scholar 

  49. Vadivelu N, Lumermann L, Zhu R, Kodumudi G, Elhassan AO, Kaye AD. Pain control in the presence of drug addiction. Curr Pain Headache Rep. 2016;20(5):35.

    Article  PubMed  Google Scholar 

  50. Hartwell EE, Pfeifer JG, McCauley JL, Moran-Santa Maria M, Back SE. Sleep disturbances and pain among individuals with prescription opioid dependence. Addict Behav. 2014;39(10):1537–42.

    Article  PubMed Central  PubMed  Google Scholar 

  51. Levola J, Aalto M, Holopainen A, Cieza A, Pitkanen T. Health-related quality of life in alcohol dependence: a systematic literature review with a specific focus on the role of depression and other psychopathology. Nord J Psychiatry. 2014;68(6):369–84.

    Article  PubMed  Google Scholar 

  52. Manning K, Garey L, Paulus DJ, Buckner JD, Hogan JBD, Schmidt NB, Zvolensky MJ. Typology of cannabis use among adults: a latent class approach to risk and protective factors. Addict Behav. 2018;92:6–13.

    Article  PubMed  Google Scholar 

  53. Benschop A, Liebregts N, van der Pol P, Schaap R, Buisman R, van Laar M, van den Brink W, de Graaf R, Korf DJ. Reliability and validity of the marijuana motives measure among young adult frequent cannabis users and associations with cannabis dependence. Addict Behav. 2015;40:91–5.

    Article  PubMed  Google Scholar 

  54. Khantzian EJ. The self-medication hypothesis of addictive disorders: focus on heroin and cocaine dependence. Am J Psychiatry. 1985;142(11):1259–64.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

We would like to thank the Evergreen Cannabis Society, its director Mr. Mike Babins, and its members for their support in the current study. We would also like to thank Mr. Michael Jacobs and Ms. Lorna Dumaresq, Chief Executive Officer of Oakum Cannabis Corp., for their industry support for this project through Mitacs.

Funding

The current study was funded by a Mitacs Accelerate Cluster Grant to AMB. The funding sponsor and industry partner had no role in study design, collection, analysis, or interpretation of data, writing the manuscript, and the decision to submit the manuscript for publication.

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Authors and Affiliations

  1. Department of Anesthesiology, Pharmacology & Therapeutics, University of British Columbia, 2176 Health Sciences Mall, Vancouver, British Columbia, V6T 1Z3, Canada

    Jade C. Yau, Shu Min Yu & Alasdair M. Barr

  2. Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada

    William J. Panenka, Hadley Pearce, Ric M. Procyshyn & William G. Honer

  3. Department of Psychology, York University, Toronto, Ontario, Canada

    Kristina M. Gicas

  4. Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada

    Caroline MacCallum

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  1. Jade C. Yau
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  9. Alasdair M. Barr
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Contributions

WJP, HP, RMP, WGH and AMB designed the study and wrote the protocol. JCY conducted all of the interviews. SMY and KCG completed statistical analyses. JCY, CM, WJP, RMP and AMB interpreted the results. All authors assisted in the writing and editing of the manuscript. All authors have read and approved the manuscript.

Corresponding author

Correspondence to Alasdair M. Barr.

Ethics declarations

Ethics approval and consent to participate

All subjects provided written informed consent. The study was approved by the Behavioural Research Ethics Board of the University of British Columbia (protocol H16–01830).

Consent for publication

Not applicable.

Competing interests

WJP is the founder and Chief Executive Officer of Translational Life Sciences, an early stage science company focused on cannabinoid therapeutics. He is also on the scientific advisory board of Medipure Pharmaceuticals and Vitality Biopharma, and in the past has been on the board of directors for Abbatis bioceuticals and on the advisory board of Vinergy Resources.

RMP has been a member of the following scientific advisory board in the past 3 years: Janssen, Lundbeck, and Otsuka; a member of the following speaker’s bureaus in the past 3 years: Janssen, Lundbeck, and Otsuka; and received grants from the Canadian Institutes of Health Research.

CM is the Medical Director of Greenleaf Medical Clinic and Translational Life Sciences. She is on the Board of Directors for The Green Organic Dutchman and is on the Medical Advisory Board for Emerald Health Therapeutics. She has provided medical consultation and/or received support for industry sponsored continuing medical education from; Canopy/Spectrum, Strainprint, Scientus Pharma, Aurora, MedReleaf, Shoppers Drug Mart, and MD Briefcase. Previously she has also worked with Vitality Biopharma, True Leaf, Resolve Digital Health, Doja and Compass Cannabis Clinics.

WGH has received consulting fees or sat on paid advisory boards for: the Canadian Agency for Drugs and Technology in Health, AlphaSights, In Silico, Otsuka, Lundbeck, Translational Life Sciences and Newron.

AMB has been a scientific advisor to Emerald Health Therapeutics, Cannevert Therapeutics, Global Cannabis Applications Corp, Entourage Biosciences, Medipure Pharmaceuticals and Vitality Biopharma.

All other authors declare that they have no competing interest.

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Yau, J.C., Yu, S.M., Panenka, W.J. et al. Characterization of mental health in cannabis dispensary users, using structured clinical interviews and standardized assessment instruments. BMC Psychiatry 19, 335 (2019). https://doi.org/10.1186/s12888-019-2324-z

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Keywords

BMC Psychiatry

ISSN: 1471-244X

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