Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2013 Sep 1.
Published in final edited form as: Am J Addict. 2012 Sep;21(5):476–487. doi: 10.1111/j.1521-0391.2012.00250.x

Post-prison Release HIV-Risk Behaviors in a Randomized Trial of Methadone Treatment for Prisoners

Monique E Wilson 1, Timothy W Kinlock 1,2, Michael S Gordon 1, Kevin E O’Grady 3, Robert P Schwartz 1
PMCID: PMC3422766  NIHMSID: NIHMS384986  PMID: 22882399

Abstract

Background

This secondary analysis examined the impact of methadone initiated in prison on post-release HIV risk behaviors. The parent study was a three-group randomized clinical trial in which participants received drug abuse counseling in prison and were randomly assigned to: (1) passive referral to substance abuse treatment upon release; (2) guaranteed methadone treatment admission upon release; and (3) methadone in prison and guaranteed continuation of methadone upon release.

Methods

Participants were 211 adult males with pre-incarceration histories of opiate dependence. The AIDS Risk Assessment was administered at baseline (in prison) and at 1-, 3-, 6-, and 12-months post-release. Data were analyzed for the entire sample (N = 211) as well as the subsamples who reported injecting drugs in the 30 days prior to incarceration (n = 131) and who reported having unprotected sex in that time frame (n = 144) using generalized linear mixed model on an intent-to-treat basis.

Results

There were no significant changes in sex- or drug-risk by Condition over Time. There were significant Time and Condition main effects for the total sample as well as the injector subsample for drug-risk behaviors. There were no significant Condition main effects for HIV sex–risk behaviors, but there were significant Time main effects.

Conclusions

Methadone initiated in prison or immediately post-release is associated with reduced HIV drug-risk compared to counseling in prison without methadone and passive referral to treatment at release. Participation in several drug- and sex-risk behaviors also showed significant declines during the post-release time periods.

Introduction

HIV infection among inmates has been recognized as a world-wide public health concern,1 as inmates have a rate of HIV infection that is three to five times higher than the rate in the general population.26 This situation is of considerable concern because there is some evidence that individuals leaving prison may exhibit higher HIV drug use and sex risk behaviors upon release.7 In a prospective cohort study, former Canadian inmates who had a history of drug injection were more likely to share needles after release from prison as compared to a matched control group who had not been recently incarcerated.8 In Thailand9 and Australia,10 HIV-positive compared to HIV-negative individuals had a significantly greater likelihood of sharing needles after release from prison.9 In terms of HIV sex-risk behavior, in North Carolina it was found that men and women who had recently been incarcerated or who were partnered with recently released prisoners, compared to those who were not, showed a greater likelihood of having multiple new partners and transactional sex.11 Thus, there is a need to develop strategies to reduce HIV drug- and sex-risk behaviors post-incarceration.

Methadone maintenance treatment in the community has proven efficacy in reducing illicit opioid use.12 This treatment approach has been found to be associated with reduced HIV drug-risk behaviors, including injection,13 needle sharing,14 and seroconversion.15 Condom use does not appear to be impacted by standard methadone treatment,16 although recent studies have shown that gender-specific HIV risk reduction interventions delivered in the context of methadone treatment can reduce sex-risk behaviors in the population.17,18

Throughout the world, methadone maintenance treatment in jails and prisons is much less available than in community settings.19,20 The impact of prison-based methadone treatment on post-prison drug use has been infrequently studied2124 and there are few data on the impact of post-release methadone treatment on drug and sexual HIV risk behaviors post-prison release. An exception has been a four-year follow-up cohort analysis from a study comparing methadone treatment started in an Australian prison as compared to waiting list assignment which examined mortality, HIV and hepatitis C seroconversion and incarceration.22 It was found that participants with longer lengths of stay in methadone treatment in the community had lower risk of death from any cause, hepatitis C conversion, and re-incarceration. Given the low incidence of HIV infection in Australia, it was not entirely surprising that there were only two cases of HIV seroconversion during the four-year follow-up. No data were collected on post-release HIV drug-and sex-risk behaviors.

To date, there has been one randomized clinical trial of methadone for pre-release prisoners, as opposed to jail inmates.25 This study found that starting methadone in prison or upon release compared to a passive referral to drug treatment was associated with lower rates of heroin use but not arrest at the 12-month post-prison release follow-up.23 In the present paper, we report the results of the first study in the US of which we are aware that examines the impact of prison-based methadone treatment on HIV drug- and sex-risk behaviors upon release from prison.

Methods

Parent Study

The parent study, involving male inmates with pre-incarceration heroin addiction histories, described in detail elsewhere,23, 2527 was aimed at examining the effectiveness of methadone maintenance initiated prior to or just after release from prison. In brief, all participants met criteria for methadone treatment in the year prior to incarceration and were scheduled to receive, within treatment condition, 12 weekly sessions of drug abuse education in prison. Counseling Only in prison was less accepted than Counseling + Transfer or Counseling + Methadone, in that only 50.8% of participants in Counseling Only had remained in treatment at the time of release whereas 77.2% of Counseling + Transfer and 72.1% of Counseling + Methadone remained in treatment.27 Through research funding, a methadone treatment slot in the participating community-based methadone treatment program was guaranteed for participants in the Counseling + Transfer and Counseling + Methadone conditions for one year. The participating methadone program provided an individual HIV risk assessment upon admission to the program, offered HIV testing on-site and by referral and provided two HIV informational sessions as part of treatment orientation. As reported elsewhere,25 upon release from prison, 7.8% of the Counseling Only, 50% of the Counseling + Transfer and 68.6% of the Counseling + Methadone, entered community-based methadone treatment. In terms of treatment retention, as reported in Kinlock et al.,23 none of the Counseling Only, 17.3% of the Counseling + Transfer and 36.7% of the Counseling + Methadone participants were retained in treatment at 12-months post-release.

Participants were assessed at baseline (study entry in prison), and at 1-, 3-, 6-, and 12-months post-release. The study was approved by the Friends Research Institute’s Institutional Review Board and all participants provided written informed consent.

Present Project

This secondary analysis was designed to compare HIV drug- and sex-risk behaviors reported in the community by participants, who as part of the study described above, were randomly assigned in prison to either: 1) Counseling Only: counseling in prison and passive referral to community-based drug treatment; 2) Counseling + Transfer: counseling in prison and transfer to methadone maintenance in the community upon release; or, 3) Counseling + Methadone: counseling and methadone in prison with transfer to methadone treatment in the community upon release.

Participants

Participants were 211 male prisoners in a Baltimore pre-release facility. Eligibility criteria were: 1) three to six months before release from prison; 2) meeting Diagnostic and Statistical Manual of Mental Disorders (DSM-IV)34 criteria of heroin dependence at time of incarceration and being physiologically dependent during the year prior to incarceration; and 3) no pending parole hearings and/or unadjudicated charges; 4) having a Baltimore city address post-release; 5) suitability for methadone maintenance as determined by medical evaluation. Inmates were excluded from study participation if they had any unadjudicated charges and/or pending parole hearings. Follow-up data were available from 206 (98%) at 1- and 3-months; 203 (96%) at 6-months; and 194 participants (92%) at 12-months post-release.

The total sample of 211 participants was divided into two overlapping subsamples based on their behaviors in the 30 days preceding their index incarceration (see Table 1). The two subsamples were composed of those participants, during the 30 days prior to incarceration, (1) who reported injecting drugs at least once (injector subsample: n = 131 at baseline) and those participants (2) who reported one or more instances of unprotected sex (unprotected sex subsample: n = 144 at baseline). The two subsamples were created in order to assess post-release changes over time in the specific HIV risk behaviors in which the participants had a prior history of engaging.

Table 1.

Sample Characteristics at Baseline (N = 211)

Total Sample (N = 211) Injector Subsample (n = 131) Unprotected Sex Subsample (n = 144)
Treatment Condition:
 Counseling Only 70 (33.2) 48 (36.6) 43 (29.9)
 Counseling + Transfer 70 (33.2) 40 (30.5) 56 (38.9)
 Counseling + Methadone 71 (33.6) 43 (32.8) 45 (31.3)
Demographic Variables
 Age (M/SD) 39.9 (7.1) 40.9 (7.4) 39.1 (7.1)
 Education(M/SD) 11.0 (1.8) 10.9 (1.9) 11.0 (1.8)
Race (N/%)
  African-American 147 (69.7) 78 (59.5) 99 (68.8)
  White 51 (24.2) 41 (31.3) 36 (25.0)
  Other 13 (6.2) 12 (9.2) 9 (6.3)
Criminal Activity Variables (M/SD)
 Age first crime (M/SD) 13.6 (4.6) 13.9 (4.2) 13.4 (4.8)
 Current incarceration (months) (M/SD) 1.3 (1.5) 1.2 (1.5) 1.5 (1.7)
 Lifetime incarceration (months) (M/SD) 113.5 (92.0) 123.0 (104.7) 115.7 (90.2)
Substance Use Variables
 Age first heroin use (M/SD) 18.4 (4.9) 18 (4.3) 18.4 (4.6)
 Past 30 days heroin use* (M/SD) 27.2 (7.6) 28.5 (5.3) 27.1 (7.7)
 Past 30 days cocaine use* (M/SD) 18.2 (13.3) 19.8 (12.6) 17.7 (13.3)
Lifetime Route of Heroin Administration (N/%)
  Injector 131 (62.1) 128 (97.7) 94 (65.3)
  Non-injector 80 (37.9) 3 (2.3) 50 (34.7)
 Lifetime substance abuse treatment (times) (M/SD) 2.0 (3.1) 2.3 (3.1) 1.7 (2.3)
*

This information was gathered at baseline interview but referred to the 30 days of behavior prior to the index incarceration.

Outcome Measures

The primary outcome measures at each time period were self-reported participation in risky drug- and sex- risk behaviors obtained from the Texas Christian University AIDS Risk Assessment (ARA). The ARA is a brief questionnaire whose items assess HIV drug-risk and HIV sex-risk behaviors over the 30-day period prior to the interview.28 The ARA items inquire regarding the number of times an individual participated in risky behaviors or the number of people with whom they participated in risky activities. The ARA drug- and sex- risk subscales have both been shown to have internal consistency of αs above .70.29 The ARA has been used to assess the effectiveness of interim methadone treatment compared to waiting list,13 an HIV risk reduction intervention30 and to relate psychological functioning to HIV risk-taking.3133 Subscale scores are derived for drug- and sex- risk by summing the items in each scale. The subscale scores as well as the items themselves were included in separate analyses to determine the extent to which the sample was participating in risky behaviors in each domain.

The ARA was administered at baseline (in prison) and 1-, 3-, 6- and at 12-months post-release. The baseline assessment referred to the 30-day period prior to the current incarceration, while the 1-, 3-, 6- and 12-month post-release assessments referenced the 30 days prior to each assessment.

Drug-Risk Behaviors Subscale

The 5 HIV drug-risk items shown in Table 2 assess the frequency of injection, of sharing injection equipment and participating in risky behaviors with others were used to construct the drug-risk subscale. An examination of the 5 items found that the items had an internal consistency α = .73. The scores on this scale ranged from 2.90 to 104.1.

Table 2.

Means and (Standard Errors) for Baseline Drug Use and Sex Risk Behaviors (N = 211)

Total Counseling Only (n = 70) Counseling + Transfer (n = 70) Counseling + Methadone (n = 71) p
ARA Drug-Risk Scale Score 60.0 (5.1) 70.0 (8.8) 52.9 (8.8) 57.1(8.6) .362
 Times injected? 37.2 (2.6) 45.8 (4.5) 33.9 (4.5) 31.9 (4.4) .064
 Times used unsterilized needles? 1.6 (.83) .97 (1.4) 1.2 (1.4) 2.6 (1.4) .695
 Times used the same cooker, cotton or rinse water that someone else had used? 5.0 (1.1) 5.3 (2.0) 3.1 (2.0) 6.6 (2.0) .466
 Times injected drugs with other people who were also injecting? 15.8 (1.7) 17.8 (3.0) 13.5 (3.0) 16.1 (3.0) .612
Number of PEOPLE shared the same works with? .78 (.35) .34 (.61) 1.4 (.62) .62 (.60) .466
ARA Sex-Risk Score 48.1 (2.8) 41.6 (4.9) 56.1 (4.9) 46.7 (4.8) .108
 Number of PEOPLE you had any kind of sex with? 1.3 (.07) 1.4 (.13) 1.3 (.12) 1.2 (.12) .712
 Times you had any kind of sex with someone? 12.1 (.52) 10.5 (.92) 14.2 (.91) 11.7 (.89) .018
 Times had sex without using a latex condom? 8.7 (.51) 7.5 (.90) 10.3 (.90) 8.5 (.86) .079
When you had sex without using a latex condom, how many times was it
…with someone who was not your spouse or primary partner? 1.8 (.29) 2.0 (.51) 1.4 (.51) 2.1 (.49) .523
…with someone shoots drugs with needles? 1.6 (.32) 1.5 (.56) 1.6 (.56) 1.7 (.54) .952
…with someone who sometimes smokes crack/cocaine? 1.1 (.17) 1.3 (.30) 1.1 (.30) .92 (.29) .596
…while you or your partner was “high” on drugs or alcohol? 5.2 (.41) 4.1 (.72) 6.3 (.72) 5.3 (.70) .125
…while trading (giving/getting) sex for drugs or alcohol? .75 (.19) .62 (.33) .60 (.33) 1.0 (.32) .579
Times you had vaginal sex without using a condom? 9.0 (.68) 7.2 (1.2) 11.4 (1.1) 8.4 (1.1.) .038
Times had oral sex without using a condom? 5.6 (.44) 4.4 (.78) 6.9 (.78) 5.3 (.75) .070
Times had anal sex in those 30 days without using a condom? .78 (.13) .87 (.23) 1.0 (.23) .44 (.22) .168

Note: Baseline data reported herein retrospectively collected at study entry for the period encompassing the 30 days prior to the index incarceration.

Sex-Risk Behaviors Subscale

The 11 HIV sex-risk items (Table 2) assess the number of sexual partners and the frequency of sexual activity and of various types of unprotected sex. These 11 items had an internal consistency α = .91. The scores on the resulting scale ranged from 2.3 to 26.4.

Statistical Analysis

The analyses of the ARA HIV drug- and sex-risk behavior subscales and the drug- and sex-risk behavior items were conducted on all available data from the sample of 211 respondents. Analyses of the HIV drug- and sex-risk items were also conducted on the data available on the 131 respondents who indicated at baseline that they had injected drugs in the past 30 days and the 144 who had unprotected sex in the past 30 days. A General Linear Mixed Model (GLMM) was used to test whether there was a change in HIV risk over the four time periods (i.e., Time main effect) and a difference in HIV risk among the three treatment conditions (Counseling Only, Counseling + Transfer; Counseling + Methadone; i.e., Condition main effect). Finally, GLMM was used to determine if there were significant changes in HIV risk over time were by the three Treatment Conditions (i.e., interaction effect).35 Following detection of a significant main effect for Treatment Condition or Time, simple mean difference tests were conducted.

Because the baseline data on HIV risk were collected using a time-line follow back interview technique,36 referenced to the 30 days prior to incarceration, it was possible that participant responses were biased by memory recall problems. Thus, we chose to analyze baseline differences in HIV risk behavior between the three treatment conditions separately from the analysis of change over the post-release period, which analysis examined data over only the 4 follow-up points. The post-release analyses included those 206 of the 211 parent study participants who completed at least at 1-month post-release assessment.

Results

Participant Characteristics

As shown in Table 1, participant baseline characteristics for the total sample as reported elsewhere25 and the two subsamples, including demographics; lifetime drug use and treatment variables; and variables referencing the 30 days prior to the index incarceration, did not differ significantly among the three Treatment Conditions.

Baseline Analyses

As shown in Table 2, there were no significant differences on either the HIV drug- or sex-risk subscales or any drug-risk behavior items among Treatment Conditions for the 30 days prior to the index incarceration (all ps > .06). There were significant Treatment Condition effects for frequency of engaging in any kind of sex with someone (p = .018) and frequency of engaging in vaginal sex without using a condom (p = .038), with the Counseling + Transfer condition having the highest mean for both items.

Analysis of Post-Release HIV Risk Behavior: Total Sample

Examination of the post-release data (see Participants, above, for sample sizes available at each Time point) found significant Treatment Condition and Time main effects for HIV drug-and sex-risk behaviors. However, there were no significant Treatment Condition X Time interaction effects for these same behaviors (all ps > .3).

Drug-Risk

A test of the Time main effect (Table 3) found a significant decline in participation in past 30-day risky behaviors for some, but not all, of the HIV drug-risk items. Findings indicated that for the ARA drug-risk scale score, the frequencies of injecting, injecting with unsterilized needles and of injecting with others who were also injecting did not significantly decrease over Time (all ps > .15). However, there were significant decreases over Time in the frequency of participants reporting sharing cookers, cottons and rinse water (p = .015), and the number of people with whom the participant reported sharing the same works (p = .039), in the total study sample. Simple mean comparisons showed a significant decline (p=.027) in the frequency of sharing cookers, cottons or rinse water only between 1- and 12-month post-release There were no significant differences in the mean number of people with whom the participants reported sharing works with between any of the post-release time periods.

Table 3.

Means and (Standard Errors) of Past 30-Day HIV Drug- and Sex-risk Behaviors for Time Main Effect

Question 1 Month (n = 206) 3 Months (n = 206) 6 Months (n = 203) 12 Months (n = 194) p
Total Sample (N = 206)
ARA Drug Risk Scale Score 22.3(5.0) 31.8(5.6) 27.7(5.6) 22.4(5.3) .547
 Times injected? 13.8(2.7) 24.2(4.2) 21.7(4.5) 16.0(3.5) .146
 Times used unsterilized needles? .09 (.04) .16(.13) .16(.11) * .756
 Times used same cooker/cotton/rinse water someone else used? 2.7(1.2) 1.4(.76) .62(.41) .01(.01) .015
 Times injected drugs with others who were also injecting? 5.5(1.8) 5.6(1.7) 5.0(1.7) 6.4(2.3) .976
 Number of PEOPLE shared the same works with? .20(.10) .44(.25) .16(.11) .01(.01) .039
ARA Sex Risk Scale Score 38.7(3.6) 46.7(6.4) 31.3(3.6) 26.7(3.8) .021
 Number of PEOPLE you had any kind of sex with? 1.4(.13) 1.4(.19) 1.0(.11) .88(.16) .009
 Times you had any kind of sex with someone? 11.5(.92) 12.1(1.0) 10.0(.89) 7.3(.82) <.001
 Times had sex without using a latex condom? 7.1(.88) 8.7(1.0) 6.6(.87) 5.3(.80) .079
When you had sex without a condom, how many times was it
…with someone who was not your spouse or primary partner? 1.3(.26) 2.0(.89) .63(.33) .91(.39) .314
…with someone who shoots drugs with needles? .77(.20) 1.2(.64) .13(.07) .04(.03) .001
…with someone who sometimes smokes crack/cocaine? .73(.18) .79(.24) .10(.05) .44(.24) <.001
…while you or your partner was “high” on drugs or alcohol? 2.8(.50) 4.1(.79) 2.8(.53) 2.3(.51) .307
…while trading (giving/getting) sex for drugs or alcohol? .44(.14) .54(.52) .10(.08) .40(.23) .125
Times you had vaginal without using a condom? 7.5(.85) 10.3(2.6) 6.5(.86) 5.3(.79) .109
Times had oral sex without using a condom? 4.3(.73) 4.9(.88) 3.3(.70) 3.5(.69) .451
Times had anal sex in those 30 days without using a condom? .79(.19) .55(.33) .05(.05) .37(.25) .001
Injector Subsample (N = 126)
ARA Drug Risk Scale Score 33.8(7.6) 48.3(8.5) 39.7(8.4) 36.4(8.4) .625
 Times injected? 20.9(4.0) 36.7(6.3) 30.6(6.8) 25.9(5.5) .184
 Times used unsterilized needles? .13(.07) .23(.20) .22(.18) * .805
 Times used same cooker/cotton/rinse water someone else used? 4.0(1.9) 2.2(1.2) 1.0(.65) .02(.02) .020
 Times injected drugs with others who were also injecting? 8.3(2.8) 8.5(2.7) 7.6(2.6) 10.5(3.8) .943
 Number of PEOPLE shared the same works with? .31(.15) .69 (.39) .26(.17) .02(.02) .041
Unprotected Sex Sub-Sample (N = 140)
ARA Sex Risk Scale Score 48.5(4.9) 61.0(9.3) 41.4(5.1) 33.7(5.1) .040
 Number of PEOPLE you had any kind of sex with? 1.6(.18) 1.5(.26) 1.1(.15) 1.0(.24) .097
 Times you had any kind of sex with someone? 14.0(1.2) 14.9(1.3) 12.3(1.2) 9.0(1.1) .003
 Times had sex without using a latex condom? 9.5(1.2) 11.4(1.4) 9.1(1.2) 6.9(1.1) .082
When you had sex without a condom, how many times was it
…with someone who was not your spouse or primary partner? 1.5(.36) 2.8(1.3) 1.0(.50) 1.2(.56) .613
…with someone who shoots drugs with needles? .80(.27) 1.8(.95) .20(.10) .06(.05) .012
…with someone who sometimes smokes crack/cocaine? .75(.24) .97(.32) .15(.08) .38(.27) .013
…while you or your partner was “high” on drugs or alcohol? 3.6(.73) 5.8(1.1) 3.9(.77) 2.8(.71) .174
…while trading (giving/getting) sex for drugs or alcohol? .35(.16) .85(.78) .13(.12) .37(.23) .529
Times you had vaginal sex without using a condom? 10.2(1.2) 13.6(3.8) 8.9(1.2) 6.8(101) .095
Times had oral sex without using a condom? 5.3(.98) 6.6(1.2) 4.6(1.0) 4.6(.95) .565
Times had anal sex in those 30 days without using a condom? .73(.22) .63(.49) ** ** .851
*

All responses for this item were “0” at 12 month follow-up

**

Majority of responses for 6 and 12 month follow-up were “0”

There were also significant Treatment Condition main effect findings for drug risk behaviors (see Table 4). There were significant main effects for the overall ARA drug-risk scale score (p = .001), for frequency of injecting (p = .001), and frequency of using unsterilized needles (p = .013). For the 3 aforementioned items, the Counseling Only Condition had significantly higher means compared to the Counseling + Transfer (ps = .028, .026 and .009, respectively) and the Counseling + Methadone (p < .001, <.001, and = .011) Conditions, while the latter Conditions did not significantly differ from each other (ps > .05).

Table 4.

Means and (Standard Errors) on HIV Drug- and Sex-Risk Behaviors for Treatment Condition Main Effect

Question Counseling Only (n = 65) Counseling + Transfer (n = 70) Counseling + Methadone (n = 71) p
Total Sample (N = 206)
ARA Drug Risk Scale Score 39.0(4.8) 24.2(4.6) 14.9(4.5) .001
 Times injected? 28.1(3.4) 17.5(3.3) 11.2(3.2) .001
 Times used unsterilized needles? .38(.10) .00(.10) .01 (.10) .013
 Times used same cooker/cotton/rinse water someone else used? 2.1(.66) .82(.64) .58(.62) .180
 Times injected drugs with other people who were also injecting? 8.2(1.7) 5.6(1.6) 3.0(1.6) .083
 Number of PEOPLE shared the same works with? .24(.13) .31(.12) .06(.12) .334
ARA Sex Risk Scale Score 32.1(4.0) 42.5(3.9) 33.1(3.8) .119
 Number of PEOPLE you had any kind of sex with? 1.2(.14) 1.3(.13) 1.0(.13) .328
 Times you had any kind of sex with someone? 9.0(.82) 12.0(.79) 9.6(.77) .019
 Times had sex without using a latex condom? 6.2(.80) 8.0(.77) 6.6(.75) .235
When you had sex without a condom, how many times was it
…with someone who was not your spouse or primary partner? 1.7(.47) 1.0(.46) .85(.45) .353
…with someone who shoots drugs with needles? .50(.30) .55(.29) .59(.28) .976
…with someone who sometimes smokes crack/cocaine? .46(.18) .54(.17) .54(.17) .929
…while you or your partner was “high” on drugs or alcohol? 2.7(.53) 3.6(.52) 2.7(.50) .352
…while trading (giving/getting) sex for drugs or alcohol? .25(.26) .33(.26) .52(.25) .737
Times you had vaginal without using a condom? 6.2(1.3) 9.5(1.3) 6.5(1.2) .137
Times had oral sex without using a condom? 3.4(.67) 4.9(.65) 3.8(.63) .230
Times had anal sex in those 30 days without using a condom? .40(.21) .67(.20) .26(.19) .330
Injector Subsample (n = 126)
ARA Drug Risk Scale Score 56.6(7.1) 39.7(7.3) 22.4(7.0) .003
 Times injected? 40.7(4.9) 28.2(5.1) 16.6(4.9) .003
 Times used unsterilized needles? .56(.16) .00(.17) .02(.16) .023
 Times used same cooker/cotton/rinse water someone else used? 3.1(.99) 1.3(1.0) .95(.99) .256
 Times injected drugs with others who were also injecting? 12.0(2.6) 9.6(2.7) 4.7(2.5) .125
 Number of PEOPLE shared the same works with? .34(.19) .51(.20) .10(.19) .319
Unprotected Sex Sub-Sample (n = 140)
ARA Sex Risk Scale Score 46.1(5.9) 49.8(5.0) 42.6(5.5) .629
 Number of PEOPLE you had any kind of sex with? 1.5(.20) 1.4(.17) 1.1(.19) .322
 Times you had any kind of sex with someone? 12.0(1.1) 13.7(.98) 12.0(1.1) .413
 Times had sex without using a latex condom? 9.4(1.1) 9.7(.98) 8.6 (1.1) .746
When you had sex without a condom, how many times was it
…with someone who was not your spouse or primary partner? 2.6(.73) 1.2(.63) 1.1(.69) .271
…with someone who shoots drugs with needles? .75(.46) .66(.40) .77(.43) .982
…with someone who sometimes smokes crack/cocaine? .69(.23) .50(.19) .50(.21) .777
…while you or your partner was “high” on drugs or alcohol? 4.0(.80) 4.3(.68) 3.7(.75) .829
…while trading (giving/getting) sex for drugs or alcohol? .33(.39) .26(.33) .69(.37) .673
Times you had vaginal sex without using a condom? 9.2(2.0) 11.6(1.7) 8.8(1.9) .489
Times had oral sex without using a condom? 5.1(.99) 5.6(.84) 5.1(.92) .912
Times had anal sex in those 30 days without using a condom? .65(.50) 1.1(.43) .33(.47) .510

Sex-Risk

There were also significant changes in some of the sex-risk behaviors over Time (see Table 3) including scores on the HIV sex-risk scale (p = .021), and in some of the sex-risk items, notably, frequency of engaging in unprotected sex with someone who shoots drugs (p = .001), frequency of engaging in unprotected anal sex (p = .001), number of people engaged in sex with (p = .009), frequency of engaging in any kind of sex (p < .001), and engaging in unprotected sex with someone who smokes crack/cocaine (p < .001). The remaining HIV sex risk items did not significantly change over Time. There were significant differences between the 1- and 12-months post-release (p = .022) and 3-month and 6- (p = .039) and 12-months post-release (p = .008) means for the sex-risk scale score. For the number of people engaged in any kind of sex with, the 1-month significantly differed from 6- (p = .010) and 12-months post-release (p = .007) means and 3-month and 12-months post-release (p = .031) means significantly differed from each other, but no differences were found between the means for other Time periods (all ps >.05). For frequency of engaging in any kind of sex, there were significant differences between the 1-and 12- month (p = .001), 3- and 12-month (p < .001), and 6- and 12-months post-release (p = .024) means; no differences were found for the other Time periods (all ps >.05). For the frequency of engaging in unprotected sex with someone who shoots drugs, 1-month significantly differed from 6- (p = .003) and 12-months post-release (p = .001) means; there were no differences found between the other Time periods (all ps >.05). For frequency of engaging in unprotected sex with someone who sometimes smokes crack/cocaine, there were significant differences between the 1- and 6-month (p = .001) and 3- and 6- month post-release (p = .006) means; no differences were found between the other Time periods (all ps >.05). For frequency of engaging in unprotected anal sex, there was a significant difference between 1- and 6-month post-release (p < .001) means; no significant differences occurred between the other Time periods (all ps > .05). All significant Time main effect simple mean comparisons for sex-risk revealed a decline in engaging in risky sex behaviors at the later point in time relative to the earlier point in time.

In contrast to findings for drug-risk behaviors, none of the Treatment Condition main effect findings for sex-risk behaviors were significant with the sole exception of frequency of engaging in any kind of sex (p = .019), with the Counseling + Transfer condition having a higher mean compared to the other two conditions. For frequency of engaging in any kind of sex, the Counseling + Transfer (p = .009) condition mean was significantly different from the Counseling Only (p > .05) and Counseling + Methadone (p = .027) condition means.

Analyses of Post-Release HIV Risk Behavior: Injector Subsample

There were no significant Treatment Condition X Time interaction effects in the injector subsample (all ps > .36). There were significant Time and Treatment Condition main effects for HIV drug-risk behaviors.

The injector subsample showed some significant Time main effects for drug-risk items. Specifically, as shown in Table 3, there was a significant decrease over time in the frequency of sharing cookers, cottons and rinse water (p = .020) and number of people with whom the participant reported sharing works (p = .041). There were significant differences between 1- and 12-month post-release means (p = .033), but not between the means for any of the other Time periods (all ps > .05). For number of people shared works with, there were no significant simple mean comparisons (all ps > .050). All significant Time main effect findings for drug-risk revealed a decline in engaging in risky drug-use behaviors.

There were significant Treatment Condition main effect findings for ARA drug-risk scale score (p = .003), frequency of injection (p = .003) and frequency of using unsterilized needles (p = .023), with the Counseling Only condition having the highest mean for all 3 items (see Table 3). The ARA drug-risk scale score for Counseling Only significantly differed from Counseling +Methadone (p = .001), but not from Counseling + Transfer (p > .050) and Counseling + Transfer did not significantly differ from Counseling + Methadone (p> .050). For frequency of injection, Counseling Only significantly differed from Counseling + Methadone (p = .001), but not from Counseling + Transfer (p >.05). There were no significant differences between Counseling + Transfer and Counseling + Methadone for frequency of injection (p > .05).

Analysis of Post-Release HIV Risk Behavior: Unprotected Sex Subsample

There were no significant Time X Treatment Condition interaction effects in the unprotected sex subsample (all ps > .5). There were significant changes in some HIV sex risk items by Time, although as shown in Table 4, there were no significant Treatment Condition main effects (all ps > .26).

As shown in Table 3, there were significant changes over Time for ARA sex-risk scale score (p = .040), frequency of engaging in any kind of sex (p = .003), frequency of engaging in unprotected sex with someone who shoots drugs (p = .012), and frequency of engaging in unprotected sex with someone who sometimes smokes crack/cocaine (p = .013). There were significant differences between the 1- and 12-months post-release (p = .038) and 3- and 12-months post-release (p = .011) means for the ARA sex-risk scale score. No significant differences were found between the ARA sex-risk mean scores for the other Time periods (all ps > .05). For frequency of engaging in any kind of sex, there were significant differences between the 1- and 12- (p = .003), 3- and 12- (p = .001), and 6- and 12-months post-release (p = .048) means. There were no significant differences for engaging in any kind of sex between 1- and 3-months post-release or 3- and 6-months post-release (both ps > .050) means. For frequency of engaging in unprotected sex with someone who sometimes smokes crack/cocaine, there were significant differences between 1- and 6-months post release (p = .020) means and 3- and 6-months post-release (p = .015) means, but these were the only significant simple mean differences (all ps >.05). All significant Time main effect simple mean comparisons showed a decline in participation in risky sex behaviors at the later point in time relative to the earlier point in time.

Discussion

This is the first report in the literature, of which we are aware, to examine the HIV drug-and sex-risk behaviors over the course of 12-months post-release from a clinical trial of prison-based methadone treatment. In both the total sample and the subsample of injectors, there were significant Treatment Condition main effects. The Counseling Only Condition reported injecting drugs more often and using unclean syringes more frequently over the course of the 12 month post-release follow up compared to the Counseling + Methadone and the Counseling + Transfer Conditions. Thus, having the opportunity to initiate methadone in prison or immediately upon release was associated with reduced HIV drug–risk behaviors.

There were two randomized trials of jail-based methadone treatment conducted in New York City. Both of these studies, a small pilot study of historic interest37 and a larger study conducted more recently24 showed a decrease in self-reported heroin use associated with methadone treatment upon release in the community. However, these trials did not report data on drug injection or needle sharing, so direct comparisons cannot be drawn with the present report.

There were also some significant Time main effects in terms of reductions in HIV drug-risk behaviors over the 12-month post-release period. The frequency of sharing cookers, cottons and rinse water and the number of people with whom participants reported sharing their works both significantly decreased over time. Thus, it would seem that newly-released prisoners are at their greatest HIV drug-risk during the early stages of their release. This conclusion is in keeping with findings from community based cohort studies with formerly incarcerated individuals conducted on several continents.810 Taken together, these findings, along with those indicating that relapse to heroin addiction,3840 overdose death,4143 and increased criminal activity44,45 also are disproportionately most likely to occur within one month of release from incarceration, highlight the importance of making a close connection with drug abuse treatment at release from prison for newly-released prisoners.

We were unable to locate any research on changes in HIV sex-risk behaviors post-incarceration in studies of prison methadone treatment. In the present study, there was little evidence that Treatment Condition was associated with reduction in sexual risk behaviors post-release. This is not entirely surprising, as there were no structured HIV risk interventions incorporated into the study Conditions other than what is routinely supplied as part of community-based drug treatment.

There were a number of significant reductions reported in sex-risk behaviors over the 12 month post-release time frame. For the total sample, significant reductions over time were found for the overall HIV sex-risk scale score, the number of sexual partners, the frequency of engaging in unprotected anal intercourse and the frequency with which participants reported engaging in unprotected sex with someone who injects drugs. It is not clear if these reductions were due to initial increases in risky sexual behaviors upon release during the first month post-incarceration because of exiting from a restrictive prison environment, because of disengagement from drug-using social networks, or if they was a tendency to provide more socially acceptable answers to the research assistants as time went on.

Limitations

There are a number of limitations to the present study. This was a single site study conducted with males only and therefore findings can not necessarily be generalized to other populations. The post-release HIV risk instrument was administered by unblinded research assistants. The sensitive nature of the HIV risk questions conducted during a face-to-face interview may have resulting in underreported participation in risky behaviors. Baseline data on risky behaviors from the 30 days prior to incarceration may have engendered recall bias. Finally, we conducted a number of tests of significance on the specific items and hence our conclusions may be biased to some unknown extent by Type I errors.

Future Research

More research is need on the impact of pre-release pharmacotherapy for opioid-dependent prisoners. Other medications besides methadone, including buprenorphine and naltrexone, are available and could be studied in comparative effectiveness trials. Research is also warranted on in-prison HIV-risky behaviors to provide public health practitioners and prison officials with a picture of the magnitude of HIV risk among prisoners and to lend further support to the implementation of evidence-based practices in jails and prisons.

Acknowledgments

Funding for this study was provided by Grant R01DA16237 from the National Institute on Drug Abuse, Bethesda, MD (Dr. Kinlock).

Footnotes

Declaration of Interest

The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.

References

  • 1.Seal DW, Eldrige GD, Kacanek D, Binson D, Macgowan RJ. A longitudinal, qualitative analysis of the context of substance use and sexual behavior among 18- to 29-year-old men after their release from prison. Soc Sci Med. 2007;65:2394–2406. doi: 10.1016/j.socscimed.2007.06.014. [DOI] [PubMed] [Google Scholar]
  • 2.Davies R. Prison’s second death row. Lancet. 2004;364:317–318. doi: 10.1016/S0140-6736(04)16742-1. [DOI] [PubMed] [Google Scholar]
  • 3.Inciardi JA, Leukefeld CG, Martin SS, O’Connell DJ. Editors’ introduction: HIV and other infectious diseases among drug-involved offenders. J Psychoactive Drugs. 2008;40:423–426. doi: 10.1080/02791072.2008.10400648. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Krebs CP, Simmons M. Intraprison HIV transmission: an assessment of whether it occurs, how it occurs, and who is at risk. AIDS Educ Prev. 2002;14(5 Suppl B):53–64. doi: 10.1521/aeap.14.7.53.23865. [DOI] [PubMed] [Google Scholar]
  • 5.Maruschak L. Bureau of Justice Statistics Bulletin. U.S. Department of Justice. Office of Justice Programs; NCJ 196023: 2002. Oct, HIV in Prisons, 2000. [Google Scholar]
  • 6.Maruschak LM. HIV in Prisons, 2005. Washington, DC: U.S. Department of Justice, Bureau of Justice Statistics; 2007. [Google Scholar]
  • 7.Vlahov D, Putnam S. From corrections to communities as an HIV priority. J Urban Health. 2006;83:339–348. doi: 10.1007/s11524-006-9041-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Milloy MJ, Buxton J, Wood E, Li K, Montaner JS, Kerr T. Elevated HIV risk behaviour among recently incarcerated injection drug users in a Canadian setting: a longitudinal analysis. BMC Public Health. 2009;9:156. doi: 10.1186/1471-2458-9-156. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Buavirat A, Page-Shafer K, van Griensven GJ, et al. Risk of prevalent HIV infection associated with incarceration among injecting drug users in Bangkok, Thailand: case-control study. BMJ. 2003;326:308. doi: 10.1136/bmj.326.7384.308. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Dolan K, Wodak A, Hall W, Gaughwin M, Rae F. HIV risk behavior of IDUs before, during and after imprisonment in New South Wales. Addiction Research. 1996;4:151–160. [Google Scholar]
  • 11.Khan MR, Doherty IA, Schoenbach VJ, Taylor EM, Epperson MW, Adimora AA. Incarceration and high-risk sex partnerships among men in the United States. J Urban Health. 2009;86:584–601. doi: 10.1007/s11524-009-9348-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Mattick RP, Breen C, Kimber J, Davoli M. Methadone maintenance therapy versus no opioid replacement therapy for opioid dependence. Cochrane Database Syst Rev. 2009:CD002209. doi: 10.1002/14651858.CD002209. [DOI] [PubMed] [Google Scholar]
  • 13.Wilson ME, Schwartz RP, O’Grady KE, Jaffe JH. Impact of interim methadone maintenance on HIV risk behaviors. J Urban Health. 2010;87:586–591. doi: 10.1007/s11524-010-9451-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Marsch LA. The efficacy of methadone maintenance interventions in reducing illicit opiate use, HIV risk behavior and criminality: a meta-analysis. Addiction. 1998;93:515–532. doi: 10.1046/j.1360-0443.1998.9345157.x. [DOI] [PubMed] [Google Scholar]
  • 15.Metzger DS, Woody GE, McLellan AT, et al. Human immunodeficiency virus seroconversion among intravenous drug users in- and out-of-treatment: an 18-month prospective follow-up. J Acquir Immune Defic Syndr. 1993;6:1049–1056. [PubMed] [Google Scholar]
  • 16.Gowing LR, Farrell M, Bornemann R, Sullivan LE, Ali RL. Brief report: Methadone treatment of injecting opioid users for prevention of HIV infection. J Gen Intern Med. 2006;21:193–195. doi: 10.1111/j.1525-1497.2005.00287.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Calsyn DA, Hatch-Maillette M, Tross S, et al. Motivational and skills training HIV/sexual risk reduction groups for men. J Subst Abuse Treat. 2009;37:138–150. doi: 10.1016/j.jsat.2008.11.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Tross S, Campbell AN, Cohen LR, et al. Effectiveness of HIV/STD sexual risk reduction groups for women in substance abuse treatment programs: results of NIDA Clinical Trials Network Trial. J Acquir Immune Defic Syndr. 2008;48:581–589. doi: 10.1097/QAI.0b013e31817efb6e. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Stallwitz A, Stover H. The impact of substitution treatment in prisons--a literature review. Int J Drug Policy. 2007;18:464–474. doi: 10.1016/j.drugpo.2006.11.015. [DOI] [PubMed] [Google Scholar]
  • 20.Stöver H, Casselman J, Hennebel L. Substitution treatment in European prisons: A study of policies and practices in 18 European Countries. Int J Prison Health. 2006;2:3–12. [Google Scholar]
  • 21.Dolan KA, Shearer J, MacDonald M, Mattick RP, Hall W, Wodak AD. A randomised controlled trial of methadone maintenance treatment versus wait list control in an Australian prison system. Drug Alcohol Depend. 2003;72:59–65. doi: 10.1016/s0376-8716(03)00187-x. [DOI] [PubMed] [Google Scholar]
  • 22.Dolan KA, Shearer J, White B, Zhou J, Kaldor J, Wodak AD. Four-year follow-up of imprisoned male heroin users and methadone treatment: mortality, re-incarceration and hepatitis C infection. Addiction. 2005;100:820–828. doi: 10.1111/j.1360-0443.2005.01050.x. [DOI] [PubMed] [Google Scholar]
  • 23.Kinlock TW, Gordon MS, Schwartz RP, Fitzgerald TT, O’Grady KE. A randomized clinical trial of methadone maintenance for prisoners: results at 12 months postrelease. J Subst Abuse Treat. 2009;37:277–285. doi: 10.1016/j.jsat.2009.03.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Magura S, Lee JD, Hershberger J, et al. Buprenorphine and methadone maintenance in jail and post-release: a randomized clinical trial. Drug Alcohol Depend. 2009;99:222–230. doi: 10.1016/j.drugalcdep.2008.08.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Kinlock TW, Gordon MS, Schwartz RP, O’Grady K, Fitzgerald TT, Wilson M. A randomized clinical trial of methadone maintenance for prisoners: results at 1-month post-release. Drug Alcohol Depend. 2007;91:220–227. doi: 10.1016/j.drugalcdep.2007.05.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Gordon MS, Kinlock TW, Schwartz RP, O’Grady KE. A randomized clinical trial of methadone maintenance for prisoners: findings at 6 months post-release. Addiction. 2008;103:1333–1342. doi: 10.1111/j.1360-0443.2008.002238.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Kinlock TW, Gordon MS, Schwartz RP, O’Grady KE. A study of methadone maintenance for male prisoners: 3-month postrelease outcomes. Crim Justice Behav. 2008;35:34–47. doi: 10.1177/0093854807309111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Simpson DD, Knight K, Ray S. Psychosocial correlates of AIDS-risk drug use and sexual behaviors. AIDS Educ Prev. 1993;5:121–130. [PubMed] [Google Scholar]
  • 29.Simpson DD, Copher JI, Vogtsberger KN, Watson DD. Needle-risk changes and reliability of measures. Third Annual Meeting of the National AIDS Demonstration Research (NADR) Project; Washington, DC. 1991. [Google Scholar]
  • 30.Boatler JF, Knight K, Simpson DD. Assessment of an AIDS intervention program during drug abuse treatment. J Subst Abuse Treat. 1994;11:367–372. doi: 10.1016/0740-5472(94)90047-7. [DOI] [PubMed] [Google Scholar]
  • 31.Camacho LM, Bartholomew NG, Joe GW, Cloud MA, Simpson DD. Gender, cocaine and during-treatment HIV risk reduction among injection opioid users in methadone maintenance. Drug Alcohol Depend. 1996a;41:1–7. doi: 10.1016/0376-8716(96)01235-5. [DOI] [PubMed] [Google Scholar]
  • 32.Camacho LM, Brown BS, Simpson DD. Psychological dysfunction and HIV/AIDS risk behavior. J Acquir Immune Defic Syndr Hum Retrovirol. 1996b;11:198–202. doi: 10.1097/00042560-199602010-00012. [DOI] [PubMed] [Google Scholar]
  • 33.King VL, Kidorf MS, Stoller KB, Brooner RK. Influence of psychiatric comorbidity on HIV risk behaviors: changes during drug abuse treatment. J Addict Dis. 2000;19:65–83. doi: 10.1300/J069v19n04_07. [DOI] [PubMed] [Google Scholar]
  • 34.American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 4. Washington, DC: American Psychiatric Association; 1994. [Google Scholar]
  • 35.Pallant J. SPSS Survival Manual. 3. McGraw Hill Open University Press; New York, NY: 2007. [Google Scholar]
  • 36.Sobell LC, Sobell MB. Handbook of Psychiatric Measures. Washington, DC: American Psychiatric Association; 2000. Alcohol Timeline Followback (TLFB) pp. 477–479. [Google Scholar]
  • 37.Dole VP, Robinson JW, Orraca J, Towns E, Searcy P, Caine E. Methadone treatment of randomly selected criminal addicts. N Engl J Med. 1969;280:1372–1375. doi: 10.1056/NEJM196906192802502. [DOI] [PubMed] [Google Scholar]
  • 38.Kinlock TW, Battjes RJ, Schwartz RP. A novel opioid maintenance program for prisoners: report of post-release outcomes. Am J Drug Alcohol Abuse. 2005;31:433–454. doi: 10.1081/ada-200056804. [DOI] [PubMed] [Google Scholar]
  • 39.Maddux JF, Desmond DP. Careers of Opioid Users. New York: Praeger; 1981. [Google Scholar]
  • 40.Nurco DN, Hanlon TE, Kinlock TW. Recent research on the relationship between illicit drug use and crime. Behavioral Sciences and the Law. 1991;9:221–241. [Google Scholar]
  • 41.Binswanger IA, Stern MF, Deyo RA, et al. Release from prison--a high risk of death for former inmates. N Engl J Med. 2007;356:157–165. doi: 10.1056/NEJMsa064115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Farrell M, Marsden J. Acute risk of drug-related death among newly released prisoners in England and Wales. Addiction. 2008;103:251–255. doi: 10.1111/j.1360-0443.2007.02081.x. [DOI] [PubMed] [Google Scholar]
  • 43.Krinsky CS, Lathrop SL, Brown P, Nolte KB. Drugs, detention, and death: a study of the mortality of recently released prisoners. Am J Forensic Med Pathol. 2009;30:6–9. doi: 10.1097/PAF.0b013e3181873784. [DOI] [PubMed] [Google Scholar]
  • 44.Hough M. Drug user treatment within a criminal justice context. Subst Use Misuse. 2002;37:985–996. doi: 10.1081/ja-120004162. [DOI] [PubMed] [Google Scholar]
  • 45.Inciardi JA. The War on Drugs III. Boston, MA: Allyn & Bacon; 2008. [Google Scholar]

RESOURCES