|
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
