| Literature DB >> 34246279 |
Sinikka L Kvamme1, Michael M Pedersen2, Kristine Rømer Thomsen2, Birgitte Thylstrup3.
Abstract
BACKGROUND: The use of cannabis as medicine (CaM) both prescribed and non-prescribed has increased markedly in the last decade, mirrored in a global shift in cannabis policy towards a more permissive stance. There is some evidence that cannabis functions as a substitute for prescription drugs, particularly opioids; however, more knowledge is needed on the motives of substitution users, their patterns of use, and perceived effects of substitution use. AIMS: To explore who substitutes prescription drugs with cannabis, the type of prescription drugs substituted and the type of cannabis used, and the impact that substitution with cannabis has on prescription drug use as well as the motives for substitution in terms of experienced effects and side effects.Entities:
Keywords: Cannabidiol; Medical cannabis; Opioid use; Prescription drugs; Substitution
Year: 2021 PMID: 34246279 PMCID: PMC8272272 DOI: 10.1186/s12954-021-00520-5
Source DB: PubMed Journal: Harm Reduct J ISSN: 1477-7517
Demographics
| Total sample ( | Substitution users ( | Odds of substituting | |
|---|---|---|---|
| OR (95% CI) | |||
| Male | 1.020 (35.9) | 511 (33.1) | 1.00 (reference) |
| Female | 1.769 (63.2) | 1.024 (66.2) | 1.25* (1.05–1.47) |
| Other | 6 (0.2) | 3 (0.2) | 1.24 (0.20–7.95) |
| Missing | 19 (0.7) | 8 (0.5) | |
| 18–24 | 126 (4.4) | 57 (3.7) | 1.00 (reference) |
| 25–34 | 338 (11.9) | 178 (11.5) | 1.16 (0.76–1.79) |
| 35–44 | 555 (19.6) | 313 (20.3) | 1.20 (0.78–1.84) |
| 45–54 | 795 (28) | 472 (30.5) | 1.20 (0.78–1.85) |
| 55–64 | 681 (24) | 365 (23.6) | 0.86 (0.55–1.34) |
| 65–74 | 296 (10.4) | 140 (9.1) | 0.77 (0.43–1.39) |
| > 75 | 47 (1.7) | 21 (1.4) | 0.71 (0.32–1.57) |
| Missing | 3 (0.1) | ||
| Full-time employment | 737 (25.9) | 340 (22) | 1.00 (reference) |
| Part-time employment | 112 (3.9) | 61 (4) | 1.40 (0.93–2.10) |
| Student | 128 (4.5) | 63 (4.1) | 1.25 (0.82–1.90) |
| Unemployed | 50 (1.8) | 31 (2) | 1.93* (1.06–3.53) |
| Retired (pension and early retirement) | 377 (13.3) | 180 (11.6) | 1.44 (0.95–2.18) |
| Stay-at-home | 23 (0.8) | 10 (0.7) | 0.94 (0.40–2.19) |
| Disability pension | 620 (21.8) | 401 (25.9) | 2.21*** (1.75–2.80) |
| On sick leave | 87 (3.1) | 43 (2.8) | 1.11 (0.71–1.74) |
| Reduced employment (due to reduced working capacity) | 524 (18.4) | 323 (20.9) | 1.76*** (1.39–2.22) |
| Other | 147 (5.2) | 74 (4.8) | 1.21 (0.84–3.54) |
| Missing | 36 (1.3) | 20 (1.3) | |
| None | 35 (1.2) | 17 (1.1) | 1.00 (reference) |
| 9th grade | 322 (11.3) | 165 (10.7) | 1.15 (0.56–2.35) |
| 9th–-11th (HG, EFG, EGU) | 142 (5) | 80 (5.2) | 1.34 (0.62–2.86) |
| High school (STX, HHX, HF) | 285 (10) | 136 (8.8) | 1.05 (0.51–2.17) |
| Vocational secondary education | 512 (18) | 307 (19.9) | 1.68 (0.83–3.40) |
| Short-cycle higher education | 332 (11.7) | 181 (11.7) | 1.26 (0.61–2.58) |
| Medium-cycle higher education | 814 (28.7) | 460 (29.8) | 1.48 (0.74–2.98) |
| Long-cycle higher education | 237 (8.3) | 119 (7.7) | 1.30 (0.62–2.70) |
| Other | 103 (3.6) | 53 (3.4) | 1.21 (0.55–2.65) |
| Missing | 59 (2.1) | 28 (1.8) | |
| Capital | 670 (23.6) | 344 (22.3) | 1.00 (reference) |
| Central Jutland | 623 (21.9) | 329 (21.3) | 0.96 (0.77–1.21) |
| Zealand | 558 (19.6) | 318 (20.6) | 1.14 (0.90–1.44) |
| Southern Denmark | 537 (18.9) | 309 (20) | 1.19 (0.94–1.51) |
| Northern Jutland | 340 (12) | 191 (12.4) | 1.16 (0.88–1.51) |
| Missing | 113 (4) | 55 (3.6) | |
OR odds ratio; CI confidence interval
*p < 0.05; ***p < 0.001
Patterns of use and illness/es treated
| Total sample ( | Substitution users ( | Odds of substituting | |
|---|---|---|---|
| OR (95% CI) | |||
| THC-oil | 697 (24.5) | 415 (26.8) | 1.28* (1.07–1.53) |
| CBD-oil | 1.850 (65.1) | 1.008 (65.2) | 0.96 (0.81–1.13) |
| Hash, pot or skunk | 1.035 (36.4) | 566 (36.6) | 1.16 (0.97–1.38) |
| Cannabis based (Marinol, Sativex) | 172 (6.1) | 105 (6.8) | 1.22 (0.89–1.69) |
| Whole plant trial (Bedrocan, Bediol) | 54 (1.9) | 34 (2.2) | 1.42 (0.81–2.51) |
| Other | 221 (7.8) | 124 (8) | 1.03 (0.78–1.37) |
| 1.086 (38.2) | 560 (36.2) | 0.79* (0.67–0.93) | |
| 6–7 days a week | 2.141 (75.4) | 1.197 (77.4) | 1.00 (reference) |
| 3–5 days a week | 366 (12.9) | 187 (12.1) | 0.86 (0.69–1.08) |
| 1–2 days a week | 162 (5.7) | 76 (4.9) | 0.78 (0.56–1.08) |
| A few times a month | 92 (3.2) | 45 (2.9) | 0.83 (0.54–1.27) |
| Very rarely | 50 (1.8) | 24 (1.6) | 0.74 (0.42–1.31) |
| Missing | 30 (1.1) | 17 (1.1) | |
| Smoked | 686 (24.2) | 355 (23) | 0.94 (0.76–1.13) |
| Vaporized | 102 (3.6) | 54 (3.5) | 1.03 (0.69–1.56) |
| Oil | 1.601 (56.4) | 861 (55.7) | 0.87 (0.74–1.02) |
| Edibles, suppositories, tea, topical | 142 (5) | 87 (5.6) | 1.37 (0.96–1.95) |
| Capsules | 119 (4.2) | 71 (4.6) | 1.23 (0.84–1.79) |
| Other | 172 (6.1) | 107 (6.9) | 1.35 (0.97–1.86) |
| Missing | 19 (0.6) | 11 (0.7) | |
| Novice (lifetime use < 5 times) | 1.803 (63.5) | 991 (64.1) | 1.00 (reference) |
| Experienced (lifetime use > 5 times) | 981 (34.5) | 531 (34.4) | 1.08 (0.90–1.28) |
| Missing | 57 (2) | 24 (1.6) | |
|
| |||
| No | 2.586 (91) | 1.381 (89.3) | 1.00 (reference) |
| Yes | 238 (8.4) | 162 (10.5) | 1.68*** (1.26–2.24) |
| Missing | 17 (0.6) | 3 (0.2) | |
| Current user of CaM | 2.588 (91.1) | 1.414 (91.5) | 1.00 (reference) |
| Former user of CaM | 253 (8.9) | 132 (8.5) | 0.94 (0.72–1.23) |
| Somatic condition | 2.083 (73.3) | 1.196 (77.4) | 1.44*** (1.21–1.71) |
| Psychiatric condition | 1.055 (37.1) | 593 (38.4) | 1.15 (0.98–1.35) |
| Chronic pain | 932 (32.8) | 642 (41.5) | 2.30*** (1.94–2.72) |
| Sleep disturbances | 793 (27.9) | 443 (28.7) | 1.09 (0.92–1.29) |
| Stress | 684 (24.1) | 351 (22.7) | 0.91 (0.76–2.94) |
| 3.2 (SD 2.5) | 3.6 (SD 2.6)*** | ||
For overview of Somatic and Psychiatric conditions see “Appendix 2”
OR odds ratio; CI confidence interval
*p < 0.05; ***p < 0.001
Fig. 1Type of prescription drug(s) substituted with CaM
Five most prevalent classes of prescription drugs substituted with CaM (brands in parentheses)
| 1.246 | |
| Tramadol (Dolol, Gemadol, Nobligan, Mandolgin, Tadol, Tradolan) | 339 (27.2) |
| Morphin (Contalgin, Depolan, Doltard, Malfin) | 193 (15.5) |
| Paracetamol (Kodipar, Fortamol, Doleron, Pamol, Panodil, Pinex) | 175 (14.2) |
| Ibuprofen (Ipren, Ibumetin, Brufen) | 151 (12.3) |
| Oxycodon (Oxiconti, Oxynorm) | 67 (5.4) |
| 209 | |
| Sertralin (Sertralin, Zoloft) | 35 (16.8) |
| Citalopram (Citalopram, Cipramil) | 29 (13.9) |
| Venlafaxin (Venlafaxin, Efexor) | 24 (11.5) |
| Duloxetin (Duloxetin, Cymbalta) | 21 (10) |
| Amitriptylin (Amitriptylin, Saroten) | 12 (5.7) |
| 82 | |
| Quetiapin (Quetiapin, Seroquel) | 32 (39.1) |
| Chlorprothixen (Truxal) | 14 (17.1) |
| Aripiprazol (Abilify) | 5 (6.1) |
| Mathylphenidat (Ritalin, Concerta) | 5 (6.1) |
| Olanzapin (Olanzapin, Zyprexa) | 4 (4.9) |
| 114 | |
| Gabapentin (Gabapentin) | 44 (38.9) |
| Pregabalin (Lyrica) | 37 (32.7) |
| Lamotrigin (Lamotrigine) | 5 (4.4) |
| Valproat (Deprakine) | 4 (3.5) |
| Clonazepam (Rivotril) | 3 (2.7) |
| 236 | |
| Ibuprofen (Ipren, Ibumetin, Brufen) | 123 (52.1) |
| Diclofenac (Arthrotec, Diclon, Diclofenac, Voltaren) | 16 (6,9) |
| Methrotrexat (Metex, Meteozane) | 16 (6.9) |
| Paracetamol (Pamol, Panodil) | 9 (3.9) |
| Naproxen (Naproxen) | 7 (3) |
| 432 | |
| Sleep medication (Circadin, Melatonin, Halcion, Imozop, Nitrezepam, Zonoct, Stilnoct, Zolpidem, Propavan, Zopiclone) | 69 (16) |
| ADHD medication (Ritalin, Stratea, Elvanse, Concerta, Medikinet, Motiron Methylphenidate) | 59 (13.7) |
| Anxiety medication (Alprazolam, Alprox, Diazepam, Oxapax, Oxazepam, Lorazepam, Stesolid, Hydroxyzine, Atarax) | 35 (8.1) |
| Pain medication (Panodil, Morphin, Tramadol, Dolol, Ibuprofen) | 35 (8.1) |
| Muscle relaxants (Baklofen, Sirdalud, Klorozoxazon, tizanidin) | 25 (5.8) |
| Migraine medication (Sumatriptan, Dixarit, Migea, Triptaner, Imigran, Zomig, Relpax) | 25 (5.8) |
| Topical medication (Dermovat, Locoid, Daivobet, Calcipotriol, Elocon, Zovir, Xamiol) | 20 (4.6) |
| Blood pressure medication (Amlodipine, Ancozan, Aprovel, Candesartan, Doxasozin, Verapamil) | 18 (4.2) |
| Prednisolone (Adrenal cortex hormone) | 17 (3.9) |
Fig. 2Effect of substitution with CaM on prescription drug (PD) use
Fig. 3Proportion of types of cannabis used by respondent in each prescription drug category. (Notes: *p < 0.05; **p < 0.01; ***p < 0.001. Covariates controlled for: age, gender, and current employment. For odds ratios and confidence intervals, see “Appendix 1”)
Fig. 4Effects of CaM compared to effects of prescription drugs (PD)
Fig. 5Side effects of CaM compared to side effects of prescription drugs (PD)
| Pain medication ( | Anti-depressive ( | Anti-psychotic ( | Anti-epileptic ( | Arthritis ( | Other ( | |
|---|---|---|---|---|---|---|
| Type of cannabis used | ||||||
| THC-oil | 0.91 (0.68–1.22) | 0.83 (0.49–1.41) | 0.90 (0.59–1.37) | 1.19 (0.89–1.57) | 0.92 (0.69–1.24) | |
| CBD-oil | 1.08 (0.84–1.40) | 1.04 (0.79–1.37) | 0.75 (0.47–1.20) | 1.03 (0.69–1.55) | 1.11 (0.84–1.48) | |
| Hash, pot or skunk | 1.23 (0.92–1.64) | 0.67 (0.42–1.06) | 0.90 (0.66–1.25) | |||
| Cannabis based medicines | 1.18 (0.72–1.94) | 0.88 (0.37.2.09) | 1.21 (0.76–1.95) | 0.58 (0.31–1.08) | ||
| Whole plant | 1.65 (0.68–4.01) | 0.79 (0.32–1.92) | 0.32 (0.04–2.58) | 1.02 (0.44–2.37) | 0.59 (0.22–1.62) | |
| Other | 1.17 (0.76–1.81) | 1.06 (0.67–1.69) | 0.68 (0.27–1.71) | 1.11 (0.58–2.12) | 1.29 (0.82–2.03) | |
*p < 0.05; **p < 0.01; ***p < 0.001