| Literature DB >> 17980043 |
Thomas J O'Connell1, Ché B Bou-Matar.
Abstract
BACKGROUND: Cannabis (marijuana) had been used for medicinal purposes for millennia. Cannabinoid agonists are now attracting growing interest and there is also evidence that botanical cannabis is being used as self-medication for stress and anxiety as well as adjunctive therapy by the seriously ill and by patients with terminal illnesses. California became the first state to authorize medicinal use of cannabis in 1996, and it was recently estimated that between 250,000 and 350,000 Californians may now possess the physician's recommendation required to use it medically. More limited medical use has also been approved in 12 additional states and new initiatives are being considered in others. Despite that evidence of increasing public acceptance of "medical" use, a definitional problem remains and all use for any purpose is still prohibited by federal law.Entities:
Year: 2007 PMID: 17980043 PMCID: PMC2175501 DOI: 10.1186/1477-7517-4-16
Source DB: PubMed Journal: Harm Reduct J ISSN: 1477-7517
Race/ethnicity of entire population (N = 3515). As subsequently shown by a more searching analysis, the composition of the applicant population has been changing steadily.
| 68.8% | |
| 16.2% | |
| 8.1% | |
| 5.1% | |
| 1.7% |
Cohort analysis of race/ethnicity (N = 3185). Analysis of racial composition by year of birth cohorts also shows that the applicant population has reflected immigration trends.
| 68.3% | 76.6% | 74.0% | 65.4% | 66.3% | |
| 24.2% | 17.5% | 16.9% | 19.0% | 12.7% | |
| 5.0% | 3.5% | 4.8% | 7.6% | 11.6% | |
| 0.8% | 1.0% | 3.0% | 5.5% | 8.0% | |
| 1.7% | 1.4% | 1.3% | 2.6% | 1.4% |
Highest Education Attainment over 25, Applicants compared to US Population (N = 936). In general, cannabis applicants compared favourably with national averages.
| 11.1% | 14.1% | |
| 61.3% | 49.0% | |
| 5.3% | 8.8% | |
| 18.3% | 18.4% | |
| 2.7% | 8.4% | |
| 1.3% | 1.3% |
Occupational divisions for employment for applicants and US population (N = 2092). The two groups are quite similar with the exception of Construction and Extraction, Office and Administrative Support, which are gender specific professions.
| Management | 4.59% | 4.57% |
| Business and Financial Operations | 3.25% | 4.15% |
| Computer and Mathematical | 3.59% | 2.27% |
| Architecture and Engineering | 1.72% | 1.83% |
| Life, Physical, and Social Science | .53% | .91% |
| Community and Social Service | 1.67% | 1.3% |
| Legal | .76% | .76% |
| Education, Training and Library | 3.15% | .62% |
| Arts, Design, Entertainment Sports and Media | 7.46% | 1.29% |
| Healthcare Practitioner and Technical | 1.58% | 5.02% |
| Healthcare Support | 2.82% | 2.58% |
| Protective Service | 1.34% | 2.35% |
| Food Preparation and Service Related | 6.98% | 8.29% |
| Building and Grounds Cleaning and Maintenance | 2.63% | 3.33% |
| Personal Care and Service | 2.15% | 2.45% |
| Sales and Related | 9.03% | 10.69% |
| Office and Administrative Support | 3.35% | 17.49% |
| Farming, Fishing and Forestry | .72% | .34% |
| Construction and Extraction | 18.36% | 4.89% |
| Installation, Maintenance And Repair | 8.56% | 4.07% |
| Production | 10.9% | 7.87% |
| Transportation and Materials Moving | 4.88% | 7.36% |
Non-occupational divisions for applicants and US population (N = 494) The two groups are quite similar except for the relative scarcity of retirees in the applicant population.
| Student | 8.62% | 8.86% |
| Disabled | 3.56% | 4.1% |
| Retired | 3.44% | 16.92% |
| Unemployed | 3.48% | 3.33% |
Distribution by year of birth cohorts (N = 3946). This further emphasizes that one's birth cohort determines what drugs one can try during adolescence.
| 4.5% | |
| 14.6% | |
| 17.3% | |
| 25.9% | |
| 35.1% | |
| 2.6% |
Birth cohorts and gender (N = 3906). Although women were outnumbered by men in each cohort, there were significant differences noted with age.
| 73.4% | 26.6% | |
| 68.6% | 31.4% | |
| 72.5% | 27.5% | |
| 80.1% | 19.9% | |
| 82.5% | 17.5% | |
| 82.3% | 17.7% |
Average initiation ages for entry level agents (N = 2498). This table is depicted by Figure 1 and emphasizes the rapid fall in age at initiation of cannabis after it first became available in high schools.
| 16.07 | 16.43 | 26.39 | |
| 15.86 | 15.89 | 21.12 | |
| 14.98 | 16.18 | 18.64 | |
| 14.88 | 15.79 | 16.58 | |
| 14.8 | 15.25 | 15.87 | |
| 14.74 | 14.71 | 15.66 | |
| 15.28 | 14.84 | 14.92 | |
| 15.08 | 15.04 | 15.68 | |
| 14.99 | 15.22 | 15.15 | |
| 14.29 | 14.66 | 14.32 |
Figure 1Average initiation age tobacco, alcohol and cannabis. Those born before 1940 were fewest in number; they had also tried cannabis at the oldest average age. Baby Boomers born after 1946 were the first large cohort, and their successors were still younger when they tried cannabis. The 61–65 cohort initiated cannabis, alcohol, and tobacco at essentially the same average age.
Initiation rates for other illegal drugs by YOB cohorts (N = 2364). With the exception of "magic mushrooms," and ecstasy (a psychedelic made illegal in 1988), initiation rates for all Schedule One drugs have declined since 1975.
| 61.36% | 74.52% | 71.06% | 71.07% | 74.58% | |
| 67.05% | 79.56% | 63.79% | 61.68% | 50.60% | |
| 60.92% | 65.75% | 40.89% | 22.27% | 15.09% | |
| 81.82% | 87.60% | 81.50% | 63.59% | 54.40% | |
| 44.83% | 60.44% | 57.21% | 48.28% | 31.56% | |
| 16.28% | 16.57% | 20.79% | 51.49% | 55.89% | |
| 25.29% | 33.06% | 16.67% | 13.02% | 7.69% |
Figure 2Other illegal drugs tried by 10 year cohort analysis. Interestingly, while all cohorts sampled other illegal drugs aggressively during adolescence, the rates at which they've done so have fallen progressively. Note also the striking generational differences in peyote/mescaline initiations by older cohorts and ecstasy by younger ones.
Initiations of other illegal drugs by race (N=2400). Although race seems related to initiation rates throughout, this shows that drug initiations by all aces trying cannabis have been falling proportionately as the adolescent market matured.
| 82.33% | 41.08% | 53.50% | 65.21% | |
| 69.56% | 28.13% | 43.71% | 42.47% | |
| 35.19% | 21.42% | 15.34% | 19.82% | |
| 74.21% | 49.76% | 55.55% | 51.30% | |
| 52.59% | 20.28% | 34.67% | 30.08% | |
| 43.43% | 28.88% | 31.21% | 64.65% | |
| 17.54% | 10.50% | 7.10% | 7.75% |
Initiations of Other Illegal Drugs by Gender (N=2464). Similarly, although women consistently tried all agents somewhat less often than men, the close parallels and internal consistency suggests the data are reliable.
| 74.31% | 62.41% | |
| 60.06% | 57.54% | |
| 30.93% | 28.17% | |
| 67.32% | 65.85% | |
| 44.82% | 44.01% | |
| 41.61% | 37.57% | |
| 15.86% | 12.32% |