A total of 750 clients from 25 OMT centers were included in the study. During data cleaning, we excluded 44 participants because they were receiving assisted withdrawal (detoxification) treatments. Most participants were male (93.6%) and on methadone maintenance treatment (methadone 89.2%, buprenorphine 9.1%, and opium tincture 1.7%). The average duration of the current maintenance treatment was 38.2 months. The participation rate for providing a urine sample was 68.4% (n = 481). Except for lifetime duration of using opium, there was no significant difference between those who gave urine samples and those who refused to provide samples in relation to socio-demographic characteristics (i.e. gender, age, education level, source of income), the current type of maintenance treatment, duration of current maintenance treatment, history of lifetime drug use, age of drug use initiation, and lifetime duration of using drug (
Tables 1 and
2).
The urine samples of 55 participants (8.1%, 95% CI: 3.6 - 12.6) were positive for amphetamines (
Table 3). Based on self-reporting, the prevalence of amphetamine/methamphetamine use at the time of starting the maintenance treatment was 3.8% (95% CI: 1.4 to 6.2). There was no significant difference between those who gave urine samples and those who declined to provide samples with regard to amphetamine/methamphetamine use at the time of starting the maintenance treatment (P = 0.428). The urine samples of clients on buprenorphine maintenance treatment were negative for amphetamines (n = 40). The participants who had positive urine tests for amphetamines while receiving opioid maintenance treatment were less likely to engage in full-time employment and had lower incomes. Moreover, the history of drug injection, imprisonment, lifetime alcohol consumption, and lifetime excessive use of alcohol (6 or more standard drinks in a single day) were significantly higher in patients who had positive results for amphetamines. This group even had significantly greater years of regular alcohol consumption and the number of imprisonment compared to the rest of participants who provided urine samples (
Table 4). The urine amphetamines positivity rate, broken down by clients' characteristics, is given in
Table 5. In the logistic regression model, there were statistically significant associations between the positivity rate of amphetamines and the history of imprisonment (adjusted OR: 2.8, 95% CI: 1.5 to 5.5), and lifetime alcohol consumption (adjusted OR: 2.2, 95% CI: 1.0 to 4.6).
There was a 9.7% (95% CI: 6.2 to 13.2) positive urine sample rate for cannabis. The urine samples of all clients who were on OT were negative for cannabis (n = 7). Regarding the use of cannabis at the time of starting opioid maintenance treatment, there was no significant difference between those who gave urine samples and those who declined to provide samples (P = 0.185). Concurrent benzodiazepine use was high among the participants; 39.2% (95% CI: 25.0 to 53.5). The positivity rate was higher in those who had positive urine samples for amphetamines (61.0%; 95% CI: 44.0 to 78.0 versus 37.2% 95% CI: 21.7 to 52.8). The univariate analysis revealed that the difference was statistically significant (P = 0.001). Considering the tramadol, 12.4% (95% CI: 9.1 to 15.7) of the participants had positive urine tests (
Table 3).
Furthermore, 41.8% (95% CI: 34.4 to 49.1) of the participants on methadone or buprenorphine (n = 472) had positive urine tests for morphine (
Table 3). The positivity rate was higher in those who had positive urine samples for amphetamines (68.3%; 95% CI: 51.7 to 84.9 versus 39.4% 95% CI: 31.3 to 47.6). The average dose of methadone and buprenorphine in subjects undergoing maintenance treatment was 60.0 mg (95% CI: 54.6 to 65.5) and 3.4 mg (95% CI: 2.9 to 3.9), respectively. These were the lowest methadone and buprenorphine doses recommended in national OMT protocols; however, methadone dose was not associated with urine morphine positivity rate (P = 0.608).
Further analysis revealed that the urine positivity rate for tested drugs (i.e. morphine, cannabis, benzodiazepines, and tramadol) was significantly higher among the clients who had positive results for amphetamine use. Although the observed differences were statistically significant, the differences in the use of cannabis and benzodiazepines in these two groups should be viewed with caution because the number of positive urine cases for amphetamines was small (
Table 6).
Although the probability of using condom in the last sexual contact was lower in people who had positive urine tests for amphetamines (29.1%; 95% CI: 14.2 to 44.0 versus 32.1%; 95% CI: 17.5 to 46.8), the difference was not statistically significant (P = 0.682). In addition, 15.8% (95% CI: 6.3 to 25.3) of the participants had comprehensive knowledge about HIV transmission. Also, HIV knowledge among people with positive urine tests for amphetamines was not significantly different in comparison to those with negative urine tests for amphetamines (P = 0.588). In addition, there was no significant difference between clients with positive urine tests and those with negative urine tests for amphetamines in relation to their self-perception of being at risk for HIV (P = 0.827). However, the history of performing HIV testing was significantly higher among those who had a positive urine test for amphetamines (40.9%; 95% CI: 28.0 to 53.7 versus 16.6%.; 95% CI: 10.3 to 23.3).