Table 1.
Characteristic | ||
---|---|---|
Age | Mean (years) | Range (years) |
All clients | 44 | 18–64 |
Female | 41 | 18–60 |
Male | 45 | 20–64 |
Gender | n | % |
Female | 30 | 42.9 |
Male | 38 | 54.3 |
Transgender | 1 | 1.4 |
Other | 1 | 1.4 |
Ethnicity | n | % |
Aboriginal | 25 | 35.7 |
Non-Aboriginal | 45 | 64.3 |
Income sourceb | n | % |
Full-time employment | 0 | 0 |
Part-time employment | 6 | 8.6 |
Self-employed | 7 | 10.0 |
Disability assistance | 42 | 60.0 |
Social assistance | 20 | 28.6 |
Other | 13 | 18.6 |
Housing status | n | % |
Owned unit | 3 | 4.3 |
Rental unit | 38 | 54.3 |
Shelter | 10 | 14.3 |
No fixed address | 16 | 22.9 |
Other | 3 | 4.3 |
Drugs used in the last weekb | n | % |
Heroin | 30 | 42.9 |
Methadone | 19 | 27.1 |
Morphine | 28 | 40.0 |
Dilaudid | 15 | 21.4 |
Oxycodone | 12 | 17.1 |
Fentanyl | 15 | 21.4 |
Benzodiazepine | 15 | 21.4 |
Cocaine | 27 | 38.6 |
Crack | 37 | 52.9 |
Crystal Meth | 36 | 51.4 |
Stimulant | 12 | 17.1 |
Marijuana | 10 | 14.3 |
GHB | 2 | 2.9 |
Suboxone | 3 | 4.3 |
Acid (LSD) | 3 | 4.3 |
Ecstacy | 1 | 1.4 |
Tylenol #3 | 1 | 1.4 |
Number of drugs used in the last week | n | % |
0 | 2 | 2.9 |
1 | 8 | 11.4 |
2 | 7 | 10.0 |
3 | 18 | 25.7 |
4 | 15 | 21.4 |
5 | 7 | 10.0 |
6 | 2 | 2.9 |
7 | 6 | 8.6 |
8 | 1 | 1.4 |
9 | 3 | 4.3 |
10 | 1 | 1.4 |
Method of drug use in the last weekb | n | % |
Smoke | 69 | 98.6 |
Snort | 61 | 87.1 |
Inject | 44 | 62.9 |
Swallow | 54 | 77.1 |
Other | 8 | 11.4 |
aMissing responses due to incomplete demographic forms in one rural region
b Individuals were able to provide more than one answer