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. Author manuscript; available in PMC: 2013 Dec 1.
Published in final edited form as: Curr HIV/AIDS Rep. 2012 Dec;9(4):287–312. doi: 10.1007/s11904-012-0134-8

A Systematic Review of Antiretroviral Adherence Interventions for HIV-Infected People Who Use Drugs

Meredith CampBinford 1, Shoshana Y Kahana 3, Frederick L Altice 1,2
PMCID: PMC3495269  NIHMSID: NIHMS406364  PMID: 22936463

Abstract

HIV-infected persons who use drugs (PWUDs) are particularly vulnerable for suboptimal combination antiretroviral therapy (cART) adherence. A systematic review of interventions to improve cART adherence and virologic outcomes among HIV-infected PWUDs was conducted. Among the 45 eligible studies, randomized controlled trials suggested directly administered antiretroviral therapy, medication-assisted therapy (MAT), contingency management, and multi-component, nurse-delivered interventions provided significant improved short-term adherence and virologic outcomes, but these effects were not sustained after intervention cessation. Cohort and prospective studies suggested short-term increased cART adherence with MAT. More conclusive data regarding the efficacy on cART adherence and HIV treatment outcomes using cognitive behavioral therapy, motivational interviewing, peer-driven interventions and the integration of MAT into HIV clinical care are warranted. Of great concern was the virtual lack of interventions with sustained post-intervention adherence and virologic benefits. Future research directions, including the development of interventions that promote long-term improvements in adherence and virologic outcomes, are discussed.

Keywords: antiretroviral therapy, intervention, adherence, persons who use drugs (PWUDs), HIV and drug use, combination antiretroviral therapy (cART), viral load, HIV treatment outcomes, antiretroviral adherence interventions, behavioral aspects of HIV management

INTRODUCTION

The introduction of potent, combination antiretroviral therapy (cART) beginning in the mid-1990s transformed HIV/AIDS into a chronic condition by suppressing viral replication and restoring damaged immune systems [13]. Similar to the treatment of other chronic conditions, improved health outcomes among individuals with HIV are contingent on relatively stringent and high levels of adherence to cART [4]. Among the estimated 1.1 million people living with HIV/AIDS (PLWHA), only one in five has achieved virological suppression [5]. Though cART combinations differ in terms of their toxicities, potency and pharmacokinetic half-lives, resulting in differing levels of adherence to achieve viral suppression [68], the success of cART, nevertheless, ultimately depends entirely on adequate adherence. Ultimately, high levels of adherence are required to robustly suppress plasma HIV RNA levels (viral load; VL) [9], and incomplete adherence has been associated with virological failure and the potential development of antiretroviral resistance [1013, 8, 14, 15].

A particularly vulnerable population, both with respect to high HIV rates and problematic cART adherence, are people who use drugs (PWUDs). Recent surveillance data within the US suggest that approximately 9% of HIV diagnoses among adults and adolescents in 2010 were attributable to injection drug use [16]. In a seminal epidemiological review of HIV rates among IDUs, Mathers [17] reported HIV prevalence rates among people who inject drugs (PWIDs) as 20–40% in five countries and over 40% in nine, with approximately 3 million HIV-infected PWIDs worldwide. Stimulant use, such as methamphetamine, is also associated with high HIV seroconversion rates among men who have sex with men. These rates are between two and four times that of MSM who do not use this drug, presumably from engaging in concurrent drug and sexual HIV-risk behaviors [1819].

HIV-infected PWUDs have reduced access to cART, initiate therapy at advanced stages of HIV infection, and are more likely to experience problematic adherence compared to those who do not use drugs [20]. As a result, clinicians may not prescribe cART to PWUDs, particularly because of cited evidence conferring the emergence of viral resistance and the transmission of drug-resistant HIV strains among non-adherent patients [13, 2122]. The data among HIV-infected PWUDs, however, have not provided empiric evidence that PWUDs ultimately develop increased levels of drug-resistant strains and transmit resistant virus. HIV-infected drug users can achieve the same levels of adherence as people living with HIV/AIDS who have never used drugs [23]. Survival among HIV-infected patients initiating cART with and without a history of injection drug use did not differ [24], suggesting cART access is the problem. Despite this, many HIV treatment trials have excluded drug users to date for a variety of reasons that often complicate cART delivery and maintenance, including the instability resulting from recurrent drug-seeking behaviors, frequent homelessness and comorbid psychiatric illness [20, 2526].

The catalysts behind conducting this systematic review stemmed from participation in two pivotal investigations: the guidelines committee of the International Association of Physicians in AIDS Care (IAPAC) that created the first recommendations for linkage to care and cART adherence [27], and the Centers for Disease Control and Prevention (CDC) release of the Prevention Research Synthesis HIV Medication Adherence Review [28]. Given the international emphasis on the Seek, Test, Treat and Retain paradigm, a core component of which is adherence to cART regimens, both investigations represent a timely and crucially-needed review of the antiretroviral adherence field. Importantly, the CDC review identifies methodological limitations extant in the current research base. Some of the efficacy criteria used to evaluate the interventions were somewhat stringent, however, including an analytic sample of at least 40 participants per study arm, at least a 60% retention rate (or medical chart recovery) for each study arm, and no evidence for negative intervention effects (in a primary or replication study) for any HIV-related behavioral or biologic outcome. Such criteria would likely not allow for the identification of promising pilot trials, which are inherently smaller in scope, or more broadly for the detection of patterns in the efficacy, or lack thereof, of different classes of interventions. Therefore, this review will adopt a broader scope.

In addition, it is arguably the case that treatments that are evaluated in populations that suffer from multiple medical and/or psychiatric comorbities have a particularly high bar to clear; adherence interventions that target HIV-infected individuals with substance use disorders (SUDs) are aiming to improve adherence behaviors (and concomitant virologic and immunologic outcomes) in the context of strongly countervailing co-morbidities. Thus, this systematic review examines both positive and negative intervention effects (and at various time points) in order to more precisely understand the mechanisms by which successful interventions target multiple morbidities.

Finally, although thorough literature reviews of adherence interventions for individuals with SUDs exist, several are older and require updating in light of recent intervention results, while others focus primarily on adherence behaviors (but not virologic and immunologic responses of the interventions; 29–38). As a result, this review will provide a current state of the science review.

METHODS

The systematic review was conducted in accordance using PRISMA guidelines [3940], including a 27-item checklist and a four-phase flow diagram.

Eligibility Criteria

Studies assessing the short- and long-term outcomes of interventions that targeted cART adherence and/or virologic and immunologic outcomes among current and/or past adult drug users were included. Given the strongly linked mediating relationship of adherence to VL [9, 41], the authors included studies that measured either cART or virologic and immunologic outcomes or both. All types of interventions were evaluated, including medication-assisted therapy, psychosocial/behavioral, and integrated medication-assisted therapy and behavioral interventions. Apart from case series studies, almost all study designs were initially considered, including randomized clinical trials, matched studies, quasi-experimental studies, and prospective longitudinal cohorts. Studies that describe known structural impediments, such as repeated incarceration [42] and police harassment [43], which was otherwise not subjected to an intervention, were not included. As cART did not become available until 1996 and guidelines for treatment were not available until 1997, only studies published between January 1997 and July 2011 were considered. Studies involving adolescents, children, or not published in English were not assessed. Trials that did not explicitly and clearly target PWUDs in their recruitment were not included. As such, at least 50% of the subjects in a study must have identified as PWUDs.

All measures of adherence were recorded, including directly administered antiretroviral therapy, pill counts, electronic pill bottle caps (MEMS caps), self-reported recall (e.g., 3-day AIDS Clinical Trials Group), pharmacy refill data, and timeline follow-back method. Adherence behaviors were assessed over a wide range of timeframes, including monthly, 3-month, 6-month, and 12-month. Virologic and immunologic outcomes were typically reported as VL and CD4, respectively. Drug use (current or remote) was defined as the use of any illicit substance (heroin, cocaine, crack, opioids, methamphetamine, and marijuana) or drinking of alcohol.

Information Sources and Search

In order to minimize the bias of missed published interventions, multiple search strategies were implemented (See Figure 1 Flow Chart). Studies were identified through three methods: systematic searches of electronic databases, reviewing reports from HIV listservs, and scanning reference lists of relevant review articles. The first search strategy was applied to the electronic databases OVID, Web of Science, PubMed, GoogleScholar and SCOPUS. Multiple search terms were deployed, reflecting four categories: (1) substance abuse (i.e., alcohol, heroin, cocaine, crack, opioids, methamphetamine, marijuana), (2) medication adherence (i.e., adherence, nonadherence, compliance, noncompliance), (3) study type (i.e., randomized controlled trial, multicenter study, meta-analysis, clinical trial, case control study, cohort study, feasibility study, intervention study, pilot project, sampling study, cross-over study, matched-pair analysis, cross sectional study), and (4) antiretroviral (i.e., highly active antiretroviral therapy, antiretroviral agents, combination antiretroviral therapy, anti-HIV agents). Conference posters and abstracts were excluded. Studies through July 2011 were included. In addition, various relevant HIV listservs were explored for conference abstracts after July 2010, newly published articles, and articles that had been recently submitted for publication. Various experts in the field were consulted to inquire about manuscripts that were in preparation or under review that contained relevant data for this review. Finally, the reference lists of relevant review articles that matched the above search strategy were scanned.

Figure 1.

Figure 1

Flow Chart of Inclusion and Exclusion Criteria of Relevant Articles

Study Selection

One author (MCB) screened records initially by title and abstract for eligibility. The full text of peer-reviewed papers published in English were extracted and included in the systematic review if they met all five of the following criteria: (1) described an adherence-promoting intervention; (2) reported outcome data on adherence and/or viral load and/or CD4; (3) explicitly targeted PWUDs; (4) included individuals 18 years of age or older; and (5) contained a study population in which at least 50% were substance users. Reviews were excluded themselves, but articles from the reference lists that met the above criteria were included. Another author (SK) confirmed or rejected articles based on eligibility criteria. Inter-rater agreement was high. When consensus couldn’t be reached, the third author (FLA) reviewed the article to break the tie. If there was no consensus, authors of the original studies were contacted in order to obtain additional information to assist the third author in adjudicating differing inclusion decisions.

Data Collection Process and Data Items

Standardized data collection forms were used for extraction that included the following information: first author and date published, year of study, study design, study size, demographic characteristics, study location and setting (community, drug treatment facility, correctional facility, methadone program), type of substance abuse, inclusion criteria, description of intervention and control groups (duration, baseline n, treatment type/components), primary outcomes, end intervention effect, post-intervention effect, and impact on adherence and viral load. All extracted data were initially extracted by one co-author (MCB) and then independently assessed by the other two (SK and FLA) who juxtaposed author names to avoid sample overlap between trials and to identify inconsistencies. Again, there was a high level of agreement.

At the conclusion of the data extraction process, studies were divided into three graduated tiers based on rigor of study design. Tier I consisted of randomized clinical trials while Tier II included matched studies such as prospective and retrospective cohort studies and nonrandomized clinical trials. Finally, Tier III incorporated quasi-experimental studies, for instance observational studies, pilots, feasibility studies, and clinical trials and prospective cohort studies without control arms. The three tiers were then subdivided by type of intervention (medication-assisted therapy, psychosocial/behavioral, integrated medication-assisted therapy and behavioral, integrated medication-assisted therapy and HIV care). We focused on the measurement of intervention effects on adherence as well as virological and immunologic outcomes.

RESULTS

Tables 13 incorporate all included studies, grouped by tiers, and details relevant study characteristics based on the extraction scheme.

Table 1.

Description of Tier 1 Adherence Interventions for HIV-Infected People Who Use Drugs

Year/Author/
Type of
Intervention
Type of Substance
Use
Intervention Group Comparison Group Adherence

Measurement
Retention Rate and/or
Follow-up Timeframe
Adherence Impact Virological and

Immunological Impact
Psychosocial/

Behavioral
2005

Samet69



Hybrid: case

management
and

technology
Current or lifetime
history of alcohol
abuse or dependence;
determined by two or
more positive
responses to CAGE
screening
questionnaire
n = 74; nurse trained in MI
addressed alcohol problems,
provided a watch with
programmable timer to
facilitate pill taking, and
delivered individually
tailored assistance to
facilitate medication use
(over 3 months in 4
encounters)
n = 77; usual care
(verbal and/or written
instructions about
optimal medication
adherence strategies

as part of regular

HIV care)
Self-report ACTG
scale; prior 30-day
adherence of ≥95%
and prior 3-day
adherence of 100%
(and corroborated
with 2 MEMS
recordings)
95% and 88% for short
short-term time point in
control and intervention
subjects, respectively;

58% and 66% for long
term time point in control
and intervention subjects,
respectively
No significant
differences were found
at any time point
No significant differences
were found at any time
point
2006

Williams70



Misc: home

based care
Active (within the last
month) or past illicit
substance use
(excluding alcohol
and marijuana)
n = 87; Freirian Home-

Based Nursing plus standard
care (including weekly
home visits by nurse and
community support worker
though month 3; every other
week home visits through
month 6; and monthly visits
through month 12)
n = 84; standard care

(clinic-based care,

which might include:
review of patient
medications,
development of
medication schedules,
identification of
strategies to improve
adherence, patient
education regarding
medication dose, side
effects, and the need
for adherence)
MEMS (measured in
3-month interval); at
baseline, mean
adherence was 72%
for subjects in the
control arm and 69%
for those in the
intervention arm
75% of the control arm
and 72% of the
intervention arm
completed 12 months.
Because the study closed
early, only 51% (48% in
the control arm, 54% in
the intervention arm)
contributed data at 15
months
At 12 months, 31%

of intervention group
compared with 22% of
control group
demonstrated MEMS
adherence greater than
90%; at 15 months,
36% of intervention
group compared with
24% of control group
demonstrated
adherence > 90%;
difference over time
was statistically
significant (p = 0.02);
when adherence was
computed as a
continuous variable,
there was no
difference between the
2 groups in change in
adherence over time
At 12 and 15 months, no
significant differences in
the proportion of subjects
with VL < 400 copies/mL
or CD4 > 200 cells/mL
2007

Altice49



DAART
Heroin and/or cocaine
in the previous 6
months
n = 88; DAART 5 days
per week from workers
in a mobile health care
van over 6 months
n = 53; self-
administered therapy
Self-report (ACTG over
prior 3 days); adherence
defined as ≥80%
63% of patients in the
intervention group and
96% of patients in the
control group
completed 6-months
Baseline-adjusted
adherence outcomes
demonstrated greater
adherence among
patients receiving
DAART compared
with patients receiving
SAT but did not reach
statistical significance
Significantly greater
proportion of DAART
group (70.5% vs. 54.7%; p
= 0.02) achieved either a
reduction of 1.0 log10
copies/mL or VL < 400
copies/mL at 6 months;
significantly greater mean
reduction in VL (1.16
log10 copies/ mL vs. 0.29
log10 copies/ mL; p =
0.03) and mean increase in
CD4 (58.8 cells/mL vs.
24.0 cells/mL; p = 0.002)
2007

Macalino50



DAART
Active substance use
(heroin/cocaine use in
the past 6 months,

other drug use on 4 or
more of the last 7
days) or alcohol
misuse (positive
response on CAGE
alcohol screening
questionnaire and
frequency/ quantity of
drinks)
n = 44; modified
DAART (outreach
workers attempted visits
every day for the first 3
months and tapered them
over subsequent months,
up to 12 months)
n = 43; standard of
care (SOC)
Adherence defined as all
doses taken over past
month; non-adherence
defined as missing

at least one dose in the
prior month
76 participants;

39 in MDOT and 37 in
SOC retained at

3 months
Not reported DAART participants were
more likely to achieve VL
suppression (either VL <
50 copies/mL or > 2
log10-unit reduction in
VL from baseline) (OR =
2.16, 95% CI = 1.0–4.7),
driven primarily by those
cART experienced (OR =
2.88, 95% CI = 1.2 –7.0);
overall change in CD4
was greater for individuals
on DAART (p = 0.03),
with a more pronounced
effect among cART-
experienced
participants
2007

Parsons66



CBT
Hazardous alcohol

drinking (>16 standard
drinks per week for
men or >12 standard
drinks per week for
women)
n = 65; MI and
cognitive-behavioral
skills building (8
sessions over 8–12
weeks)
n = 78; time- and
content-equivalent
educational condition
focusing on HIV,
cART adherence,

and alcohol
Self-report (timeline
follow-back interview
over prior 14 days;
percent dose adherence
and percent day
adherence
83% of the intervention
group and 79% of the
control group
completed the 6-month
follow-up visit
Participants in the
intervention condition
reported a significantly
larger increase in
percent dose adherence
[F(1, 107) = 4.0; p <
0.05] and in percent
day adherence [F(1,
111) = 4.1; p < 0.05]
compared with
participants in the
education condition at
3 months; at 6 months,
participants in both
conditions reported
significant
improvements in
percent dose adherence
(M = 8.2%, SD =
29.4%) and percent
day adherence (M =
8.7%, SD = 33.7%)
from baseline;
difference between the
groups was not
significant
At 3-month follow-up, log
VL of intervention group
decreased from baseline,
while log VL of the
education condition
increased [F(1, 116) =
6.09; p < 0.02];
intervention participants
were significantly more
likely to demonstrate a
1.0-log reduction in VL
(OR = 2.7; p = 0.03) at the
3-month follow-up; at 3-
month follow-up, CD4 of
intervention condition
increased from baseline,
whereas CD4 of education
participants declined [F(1,
115) = 6.44; p < 0.02; no
significant differences
between conditions in log
VL or CD4 at 6-months
2007

Purcell75



Social support-peer
mentoring
IDU in the past year n = 486; 10-session peer
mentoring intervention
over 5 weeks
n = 480; 8 session
video tape (on issues

relevant to IDU,
including employment,
incarceration,
overdose prevention,
etc.)
Self-report (number of
doses missed over the
prior day and week);

good adherence was
defined as having taken
90% of cART in the
prior 7 days
86% of the intervention
group and 84% of the
control group attended
follow-up visits at 12
months
Adherence slightly
increased over time in
both groups
(significantly at 6
months [p = 0.03] and
12 months [p = 0.01]);
no statistically
significant differences
between the 2
conditions at any time
point
Not reported
2007

Rosen65



Contingency
management
Cocaine, opioids,
cannabis; assessed by
toxicology tests

breathalyzer, and time-
line follow-back
calendar describing
substance abuse
n = 28; 16 weeks of
weekly CM-based
counseling, reinforced
for MEMS-measured
adherence with drawings
from a bowl for prizes
and bonus drawings for
consecutive weeks of
perfect adherence
n = 28; 16 weeks of
supportive counseling
MEMS, self-report
(timeline follow-back
and ACTG for prior 3
days and visual analogue
scale ratings of the
percentage of doses
taken in the preceding
month)
18 participants in each
group (64%)
completed week 32
assessments
Mean MEMS-
measured
adherence to
the reinforced
medication increased
from 61% at baseline
to 76% during
treatment and was
significantly increased
relative to the
supportive counseling
group (p > 0.01);
participants receiving
CM were more likely
to achieve 95%
adherence during
weeks 1–16 than
participants receiving
supportive counseling
(p = 0.02); no
significant difference
between the two
groups for the entire
follow-up period
At week 16, participants
receiving CM exhibited
significantly improved VL
over time compared to
those receiving supportive
counseling (p = 0.02);
differences between
groups were no longer
significant at week 32
2010

Feaster74



Social support
Cocaine, alcohol,
cannabis, opioids;
determined by DSM-
IV criteria for
substance use
diagnosis within

the last year (with
cocaine as either the
primary or secondary
drug of abuse)
n = 59; Structural

Ecosystems Therapy
(SET): 4-month
intervention focusing on
building family support
n = 67;
Psychoeducational

HG
Self report (ACTG Scale
over past 4 days);
dichotomized as
adherent (taking at least
90% of prescribed
doses) and non-adherent
(taking < 90% of
prescribed doses)
71% of the intervention
group and 85% of the
control group
completed the 12-
month follow-up
Probability of taking
prescribed cART was
not significantly
different across
conditions, but SET
showed a general
decline
Significant Time*
Treatment interaction (B =
77.02, SE = 30.18, p <
0.05) for CD4 but not at
the second time point; no
significant Time*
Treatment effect on VL,
although the direction of
change was consistent
with CD4 results
2010

Petry63



CM
Cocaine or opioids;
determined by

DSM-IV

criteria for cocaine or
opioid abuse or
dependence
n = 89; CM weekly for
24 weeks; patients in the
CM group only received
chances to win prizes
contingent upon
completing health
activities and submitting
substance-free specimens
(mean = $260, SD =
$267)
n = 81; Twelve Step
(TS) groups for 24
weeks; during the
treatment period, both

groups received
compensation for
attendance, submission
of urine samples, and
completing evaluations
at months 1, 3, 6, 9,
and 12
Not reported Means (SD) of 9.0 ±
6.9 and 10.8 ± 8.1
sessions (of 24
possible) for TS and
CM conditions over 24
weeks, respectively; 68
randomized to TS and
77 to CM were
retained through 12
months of follow-up
Not reported Between baseline and
month 6, effects of time
were significant, χ2 (n =
162, df = 112) = 159.56, p
< 0.002, and the group by
time interaction was
significant, χ2 (n = 162, df
= 146) = −2.66, p < 0.01,
with a reduction in VL
occurring in CM and an
increase in TS participants
over time; group by time
effects were no longer
significant through 12
month follow-up period
2011

Safren84



CBT/(~75%
also receiving
MMT or
suboxone
therapy)
Opioids; endorsed a
history of injection
drug use and were
currently enrolled in
opioid treatment for at
least one month
n = 44; cognitive
behavioral therapy for
adherence and
depression (CBT-AD); 8
sessions + 1 session on
HIV medication
adherence (Life-Steps),
which involved
informational, problem-
solving, and cognitive
behavioral steps to foster
cART adherence
n = 45; enhanced
treatment as usual
(ETAU), which also
included 1 Life-Steps
session
Measured by MEMS
(dose considered missed
if it was not taken within
a 2-hour window of the
designated time);
defined as percentage of
MEMS-based adherence
over prior 1–2 weeks; for
follow-up analyses,
adherence measured
over prior two weeks
80% in the intervention
group and 67% in the
control group were
followed to 12 months
At post-treatment, the
CBT-AD condition
showed significantly
greater improvement
than ETAU (γslope =
0.8873, t(86) = 2.38, p
= .02; dGMA-raw = 0.64);
after treatment
discontinuation
adherence gains were
not maintained
VL did not differ across
the two conditions at
follow up; however, the
CBT-AD condition
exhibited significant
improvements in CD4
over time compared to
ETAU (γslope 2.09, t (76) =
2.20, p = 0.03; dGMA-raw =
0.60)
Integrative
Medication-
Assisted
Therapy and
Behavioral
2003

Margolin83



MMT plus
counseling, case
management,
group therapy
IDU, opioid
dependence, and

abuse or dependence
on cocaine; use of
heroin and cocaine
during the

6-month treatment
phase was assessed by
urine testing
n = 45; HHRP received
all components of E-
MMP
and attended twice
weekly manual-guided
group therapy sessions
(addressed the medical,
emotional,

and spiritual needs of
HIV-infected
individuals)
n = 45;E-MMP
received 6 months of
standard treatment
(daily MMT and
weekly individual
substance

abuse counseling and
case management)
along with a six-
session HIV risk
reduction intervention
Self report (timeline
follow back that
recorded the number of
times each day that each
cART medication was
not taken as prescribed
over past week; adequate
adherence was defined
as ≥95%
82.2% completed 12 or
more weeks; 64.4%
completed the 6-month
program
Nonadherence was
significantly lower for
patients assigned to
HHRP than for
patients assigned to (p
= 0.02); significantly
more patients assigned
to HHRP+ reported
≥95% adherence
during the treatment
phase than did patients
assigned to E-
MMP (HHRP+ = 62.2%; EMMP
= 37.5%; OR =
2.74, p = 0.04)
Not reported
2007

Sorensen85



CM plus MMT
Cocaine and opioids;
assessed by urine
testing
n = 34; medication
coaching plus voucher
reinforcement for
opening MEMS on time

over 12 weeks
n = 32; medication
coaching sessions
every other week

to assist with
adherence
MEMS (2 hours before
or after around the
scheduled dosage time);
pill count (weekly); and
self-report (ACTG for
prior 3 days); baseline
adherence was 51%
using MEMS, 75% using
pill count, and 75%
using self-report
81% of the control
group and 91% of the
intervention group
remained at the end of
follow-up
Significant mean
adherence differences
between voucher and
comparison groups
using MEMS (78% vs.
56%), pill count (86%
vs. 75%), and self-
report (87% vs. 69%)
during intervention; no
significant group
differences during the
follow-up period after
vouchers were
discontinued
No significant effects for
condition or change over
time were seen in VL or
CD4
2010

Lucas80



BPN
Opioid dependent n = 46; BPN (clinic-
based) with individual
counseling
n = 47; referred
treatment (case
management and
referral to opioid
treatment program)
Months of cART use
(via clinical medical
records)
54% of the intervention
group and 64% of the
control group attended
the 12 month follow-up
visit
Use of cART did not
differ between groups
through 12 months
Changes in VL and CD4
did not differ between 2
groups from baseline
through 12 months
2011

Berg51



DAART plus
MMT

(STAR*DOT)
plus counseling
Opioid-dependent
(based on DSM-IV
criteria) but not
dependent on alcohol
or benzodiazepines;
confirmed with urine
test
n = 39; DAART

(24 weeks)
n=38; TAU Weekly pill counts for
DAART; MEMS and
pill count for TAU; self-
report (ACTG during the
prior week);
dichotomized self-
reported adherence at
100%
82% of the intervention
group and 87% of the
control group
completed the 24-week
intervention
Adherence in the
DAART group was
higher than in the
control group at all
post-baseline
assessment points; by
week 24 mean
DAART adherence
was 86% compared to
56% in the control
group (p < 0.0001); by
end of intervention,
differences in
adherence diminished
by 1 month (55% for
DAART vs. 48% for
TAU) and
extinguished
completely by 3
months (49% for
DAART vs. 50% for
TAU)
During the intervention,
the proportion of DAART
participants with
undetectable VL (<75
copies/ml) increased from
51% to 71%; HIV RNA in
the DAART group
decreased 0.52 log10
copies/mL (from 2.74 to
2.22 log10 copies/mL) but
remained stable in TAU
group; differences in VL
between DAART and
TAU disappeared by 3
months after the
intervention
2010

Wang71



Hybrid: home-
based care,
technology,
MMT (?)
Active (in the last
year) or past heroin
addiction
n = 58; nurse-delivered

home visits delivered by
2 nurses every 2 months
combined with telephone
intervention carried out
every 2 weeks by the
same nurses who
conducted the home
visits; adherence
counseling,
psychoeducation, and
MMT (if needed)

included in intervention;
over period of 8 months
n = 58; routine care Self Report (Community
Programs for Clinical
Research on AIDS
Antiretroviral
Medication Self-Report)
Questionnaire: 7-day
recall period and asks
subjects to recall
whether they took all
(100%), most (80%),
about half (50%), very
few (20%), and/or none
of their pills
86% of the intervention
group and 83% of the
control group
completed the study
Compared to those in
the control group,
participants in the
experimental group
were more likely to
report taking 100% of
pills in the previous
week (p = 0.0001) and
more likely to report
taking pills on time
than those in the
control group after
intervention (p =
0.0001)
Not reported
Not reported

Table 3.

Description of Tier 3 Adherence Interventions for HIV-Infected People Who Use Drugs

Year/ Author/

Type of
Intervention
Type of
Substance Use
Intervention
Group
Comparison
Group
Adherence
Measurement
Retention Rate
and/or Follow-up
Timeframe
Adherence Impact Virological and
Immunological
Impact
Medication-
Assisted Therapy
1997

Antela89



MMT
Active addiction
to heroine
n = 62; MMT None Not reported Approximately 14
months after MMT
initiation
cART intake
increased from
28% to 75%
Increase in mean
CD4 was not
significant
2001

Avants44



MMT
Opioid
dependence and
cocaine abuse
(DSM-IV criteria)
n = 42; MMT None Self-report (timeline
follow-back techniques as
reported over past week);
adherence defined in 2
ways: 1) ratio of sum of
missed dose-points to the
sum of prescribed dose-
points during the first 4
weeks of MMT; and 2)
80% adherence rate (non-
adherence ratio of ≤
0.20); at baseline 36% of
patients self-reported <
80% adherence
Stabilization phase
of 4 weeks
Change in cART
non-adherence
decreased
significantly during
the 4-week
stabilization phase:
Week 1 = 0.25
(.38); Week 2 =
0.11 (.27); Week 3
= 0.11 (.24); Week
4 = 0.10 (.25);
F(3,30) = 2.89, p =
0.052
Not reported
2006

Palepu47



MMT
IDU in the
previous month
n = 161; MMT n = 117 (HIV-
infected
IDUs not
accessing MMT)
Ratio of number of days
of cART prescription
refills relative to total
number of days of
medical follow-up for 12-
month period; adherence
dichotomized as ≥95% or
not
Accessing MMT

at least once during
approximate 7-year
follow-up period
MMT was
positively
associated with
adherence (AOR
1.52; 95% CI 1.16–
2.00)
MMT positively
associated with VL
suppression (AOR =
1.34, 95% CI 1.00 –
1.79); MMT
positively associated
with CD4 rise of 100
cells/mL (AOR =
1.58, 95% CI 1.26 –
1.99)
2011

Altice81



BPN
Opioid
dependence
(DSM-IV
criteria); excluded
if investigator-
defined
alcohol or
benzodiazepine
abuse
n = 295;
BPN/NLX in HIV
clinical care
setting
None Self-report (and
confirmed by chart
review)
Retention on

BUP/NX defined
as prescription for
BUP/NX for three

or four quarters (9–
12 months), even if
a single
prescription during
the quarter; 21.7–
28.5% of sample,
respectively
(approximately 109
subjects
prescribed BUP/
NX for three or
four quarters)
Subjects initiating
BPN/NLX were
significantly more
likely to initiate or
remain on cART as
compared to
baseline;
improvements were
not significantly
improved by longer
retention on
BPN/NLX
Retention on
BPN/NLX for three
or more quarters was
significantly
associated with
increased likelihood
of achieving viral
suppression (b = 1.25
[1.10, 1.42]) for the
64 of 119 (54%)
subjects not on cART
at baseline compared
with the 55 subjects
not retained on
BPN/NLX
Psychosocial/
Behavioral
2000

Bamberger77



Hybrid: counseling,
contingency
management,
technological
intervention
Substance use
history (heavy
alcohol, crack,
injection drug
use)
n = 68;
counseling,
medication, cash
incentives, and e-
mail reminders
None Not reported Five months after
opening, 62% of
the initial clients
continued to come
in at least once a
week
Not reported After five months,
76% on cART
showed improved
viral suppression; of
25 individuals on
cART with follow-up
VL test, 16 (64%)
exhibited VL < 500
copies/mL and 3
(12%) had at least a
two-log reduction in
VL relative to pre-
program levels
2002

Broadhead72



Social support- peer
driven
IDU n = 14; peer and
peer advocate
pairs
None Pill count by the peer
advocate
Followed for 6
months of weekly
meetings; 80% of
subjects did not
miss regularly
scheduled weekly
meeting
For 30 of 36
meetings, the
peer’s adherence
scores for prior
week was ≥80%;
overall adherence
score for all
subjects was 90%
Not reported
2003

Altice79



Misc: needle
exchange
Active heroine
injection
n = 13;
Community
Health Care Van
(CHCV) at sites
of needle
exchange; ARV
regimens linked to
heroin injection
timing
None All subjects (100%)
completed 12-month
course of therapy,
including needle
exchange based health
services
100% followed for
12 months
Not reported By 6 months,
proportion with VL <
400 copies/mL was
85% (n = 11) and
mean VL level
decreased from 5.21
log10 copies/mL
before initiating
cART to 2.38 log10
copies/mL; by 12
months, 54% (n = 7)
had a persistently
nondetectable VL (<
400 copies/mL) and
there was a mean
CD4 increase of 150
cells per mL from
baseline
2003

Powell-Cope78



Technological
Current or
previous illicit
drug or alcohol
users according to
personal
admission or
provider
n = 24; one of
three devices: (1)
small timer that
buzzed at preset
intervals, (2)
pager reminder
that beeped/
vibrated at
specified times,
(3) Westclox
pillbox with an
integrated timer
None Facilitator-initiated focus
group questionnaire; Self-
report (ACTG measure);
adherence assessed during
past 2 weeks and past 1 to
3-month intervals)
88% were followed
to the conclusion of
the study at 2
months
Reminder did not
affect the
proportion missing
a dose in the past
two weeks:
baseline (33%),
first follow-up
(30%), and second
follow-up (30%)
Not reported
2005

Parsons67



CBT
Active illicit drug
abuse as
determined by

DAST-10 score of
6 or greater with
heavier drug use
than alcohol
n = 12; combined
MI and CBT
None Self-report (timeline
follow-back technique
over prior 14 days)
73.3% completed
all 8 sessions of the
intervention within
the allotted time
frame of 3 months
No significant
differences were
found for changes
in cART adherence
Not reported
2005

Mitty57



DAART
Active substance
use (including use
of illicit drugs,
misuse of
prescription
drugs, inpatient
detoxification,
and alcohol
abuse) within the
past 6 months
n = 69; DAART-
medications
delivered by a
near-peer outreach
worker (ORW)
None Self-report (adherence to
unobserved doses were
logged by ORWs on a
daily basis); interviewer-
administered questionnaires at 1, 3, and
6 months
Patients continued
in the study
regardless of their
MDOT status.
Fifteen participants
(33.3%) received

MDOT at all their
assessment points.
Of the 30
participants who
were not receiving
MDOT at all
assessment points,
11 were not
receiving MDOT at
1 month, 22 at 3
months, and 26 at 6
months. 10% of
participants
reengaged in the
program
Not reported Individual decrease
in VL from baseline
to 6 months among
DAART participants
was 2.7 log10
copies/mL
2008

Ma55




DAART
History of
substance use
defined as meeting
one or more of the
following: (1) used
cocaine/ crack or
heroin in the past 6
months, (2) used
marijuana more
than 4 times per
week in the past 6
months, and (3)
used alcohol in the
past 30 days (and
endorsed at least
one of four CAGE
questions)
n = 31; DAART-
outreach worker
observed
medication intake
None Self-report (dividing
number of missed doses
by the number of total
prescribed doses over a 4
day period); dichotomized
as < or > 80%; at
baseline, none of the
participants

met the 80% criterion for
adherence to cART
regimen
77% completed the
intensive phase at 3
months and 68%
completed the
transition phase at
6 months
75% of the
participants met the
80% adherence
criterion at 3
months and 67%
met the 80%
adherence criterion
at 6 months
39% of participants
had VL < 400
copies/mL at
baseline, 55% at 3
months and 67% at 6
months
2009

Deering73



Social support- peer
driven
Current IDU,
including
stimulants
(cocaine, crack
cocaine, crystal
methamphetamine)
and/or opiates
(heroin, morphine
or dilaudid);
currently smoked
drugs (including
cocaine, crack
cocaine, heroin,
crystal meth)
n = 20; Peer
Driven
Intervention
(PDI): weekly
peer support
meetings, health
advocate (buddy)
system, peer
outreach service,
and onsite nursing
care
None Pharmacy records and
self-report (over prior
week)
Participants
attended an average
of 50 (21–70) PDI
meetings over 6–12
months
Overall mean
pharmacy record
adherence = 88%
per PDI-week;
overall mean self-
reported adherence
= 92%; mean
adherence increase
across sample =
18%
Number of VL tests ≤
50 copies/mL
increased by 40%
from the pre-PDI
period (1 year before
enrollment) to the
PDI period (duration
enrolled)
Integrative
Medication-
Assisted Therapy
and Behavioral
1998

Sorensen61



DAART plus MMT
Opioid dependent n = 12; on-site
dispensing of
cART and
individualized
medication
management
None Nurse’s drug monitoring
log, self-report, and
MEMS
100% remained in
the study though
study completion
(8 weeks of
intervention and 4
weeks of post-
intervention follow-up)
Baseline-to-follow-
up self report of
improvement was
significant at Week
4, 8, and 12 (4
weeks after
intervention end)
follow-up periods;
per self-report,
cART taken
averaged above
80%; MEMS
percentages
declined during the
four follow-up
weeks
Not reported
2002

Clarke58



DAART plus MMT
Active IDU
(injecting heroine
at least once
daily)
n = 39; DAART None Not reported 90% remained at 3
months, 79% at 6
months, and 73% at
one year
Not reported Mean CD4 change
from baseline were
significant at 3, 6,
and 12 months; at 48
weeks, 51% of
cART-experienced
patients and 65% of
cART-naïve patients
achieved maximum
viral suppression (VL
< 50 copies/mL)
2004

Conway59



DAART plus MMT
IDU; measured by
urinalysis
n = 54; MMT and
cART dispensed
daily as DAART
None Not reported Median follow-up
for 54 subjects was
24 months (range,
5–58 months)
Not reported After median of 24
months, 17 of 29
patients in the once-
daily cART group
and 18 of 25 in the
twice-daily cART
group exhibited VL <
400 copies/mL; both
groups exhibited
significant

increases in CD4
from baseline (once-
daily group: 190
cells/mL at baseline
vs. 290 cells/mL at
follow-up (p < 0.01);
twice-daily
group:140 cells
cells/mL at baseline
vs. 290 cells/mL at
follow-up (p <
0.005))
2007

Lucas62



DAART plus MMT
Methadone
maintenance;
active opiate drug
use determined by
urine screens
n = 88; DAART None Supervised dosing and
self-report (of non-
supervised dosing); non-
adherence with
supervised dosing was
defined as < 80%
Study subjects
participated in the
DAART
intervention for a
median of 9.4
months (IQR 4.6–
16.8)
Median participant
adherence with
supervised dosing
was 83%; median
self-reported
adherence with
unsupervised doses
= 99%
23 patients (29%)
exhibited ≥ 1
measurement of
virologic failure (VL
> 400 copies/mL)
over intervention
course (median
length = 9.4 months);
observed adherence
with supervised doses
was significantly
associated with
virologic failure
2008

Kapadia90



Drug abuse
treatment with or
without medication
Engagement in
(illicit) drug use at
baseline or during
follow-up visits
n = 573; drug
abuse treatment
program with or
without
medication
None Self-report (< 95% vs. ≥
95%)
Participants
included in the
present study
provided
information for up
to five years (ten
follow-up visits)
Individuals
accessing any drug
abuse treatment
program were
significantly more
likely to report
adherence to cART
≥95% of the time
(AOR = 1.39);
medication-based
or medication-free
programs were
similarly associated
with improved
adherence
Not reported
2011
Cunningham31



MMT (also
incorporates onsite
HIV and primary
medical care, drug
abuse and mental
health treatment
services) plus
STAR Program
(MI and CBT
Skills)
Drug use in the
last 3 months:
Cocaine, crack,
heroin, club drugs
(crystal meth,
ecstasy, special
k), unprescribed
pain pills or
benzodiazapines,
regularly three or
more alcoholic
drinks a day
n = 315; STAR
Program- MI and
Cognitive
Behavioral Skills
Techniques
None Self-report (during past 3
days, week and month)
3 month follow-up
data includes 31%
of enrolled
participants as
intervention is in
progress
A smaller
percentage of
patients missed any
cART doses during
past 3 days (30.8%
vs. 18.5%, ns) or in
the past week
(42.1% vs. 28.0%,
ns) 3 months after
STAR Program
enrollment as
compared with
baseline
VL significantly
decreased (median
VL = 3.7 log10
copies/mL vs. 3.2
log10 copies/mL; p <
0.01) from baseline
to 3 months for those
in STAR Program

LEGEND: CM = Contingency Management; DAART = Directly Administered Antiretroviral Therapy; MI = Motivational Interviewing; CBT = Cognitive Behavioral Therapy; TAU=Treatment as Usual; MMT = Methadone Maintenance Treatment; VL = HIV RNA Viral Load; CD4 = CD4 lymphocyte count; BPN = buprenorphine; BPN/NLX= buprenorphine/naloxone; MEMS = Medication Event Monitoring System; ACTG = The AIDS Clinical Trials Group Adherence Questionnaire; cART = combination antiretroviral therapy; MDOT= Modified Directly Observed Therapy; SAT= Self-administered therapy; STAR Program= Substance abuse treatment and recovery program

Medication-Assisted Therapy Interventions

There were no Tier 1 interventions solely evaluating medication-assisted therapy (MAT) to foster HIV treatment adherence among PWUD populations. Despite this, there were several good quality studies that addressed the effect of MAT on HIV treatment adherence and markers of HIV progression. Avants et al. [44] reported significant increases in self-reported medication adherence among 42 HIV-infected IDUs beginning methadone maintenance treatment (MMT), while other studies indicated that buprenorphine (BPN) maintenance treatment increased adherence to cART regimens [45] and may keep VL and CD4 relatively stable at short-term follow-up [46].

Prospective longitudinal data confirmed findings described earlier. In a longitudinal prospective cohort of opioid dependent, HIV-infected IDUs, MMT provision was independently and significantly associated with increased adherence, more rapid uptake of cART, viral suppression and CD4 increases [47]. A 5-year longitudinal study of opioid substitution treatment (OST), including BPN and methadone, with cART experienced opioid-dependent individuals concluded that retention in OST was significantly associated with long-term virological success [48]. This association held even after adjustment for significant predictors (such as adherence) of long-term virological success.

Behavioral and Psychosocial Interventions

Directly Administered Antiretroviral Therapy (DAART)

Three independent DAART RCT trials [4951] consistently showed significantly higher rates of cART adherence, improved virologic functioning, and increased CD4 counts among DAART participants compared to control groups at short-term follow-ups. Successful virologic outcomes after DAART discontinuation, however, remain more equivocal, with some interventions demonstrating maintenance of these gains and others not.

In the largest RCT, Altice et al. [49], compared 6-month DAART to self-administered therapy (SAT) among 141 HIV-infected drug users (cocaine and/or heroin). Both for virologic and immunologic outcomes, the DAART arm was statistically superior to the SAT arm, both at intervention end and at 6-month follow-up. Similar results were seen in subgroup analyses stratifying the patients by virologic suppression at baseline. There was a trend toward greater adherence among patients receiving DAART as compared to SAT, but this did not reach statistical significance. The virological outcomes did not persist, however, over the subsequent six months of follow-up after DAART was terminated [52].

Macalino et al. [50] randomized 87 HIV-infected drug users [broadly defined as heroin/cocaine/alcohol use in the past 6 months, other drug use on four or more of the last seven days, or alcohol misuse (positive response on the CAGE alcohol screening questionnaire)] to receive either modified DAART or standard of care. At the end of 3 months, DAART participants were more likely to achieve VL suppression or a >2.0 log reduction than controls, a result driven primarily by those individuals who had previously received cART. Findings for CD4 were largely consistent with the virologic outcomes: mean CD4 at month 3 was higher in the DAART than the control arm, an effect that was primarily driven by cART-experienced individuals.

One study reported favorable virologic and immunologic results as well as improvements in cART adherence in response to an intervention that formally integrated DAART into a MMT program. Berg at al. [51] compared DAART to SAT among 77 HIV-infected MMT opioid users during 24 weeks. Over the course of the trial, patients in the DAART arm consistently displayed significantly higher adherence rates than the SAT group, while VL in the DAART group decreased 0.52 log10 copies/ml and remained stable in the SAT group. Effects were more pronounced for those demonstrating baseline detectable VL.

Follow-up of the trial indicated that benefits of DAART ceased after it was terminated [53]. Results from a post-trial cohort study of 65 individuals who had completed the initial 24-week trial suggested that after DAART ended, differences in adherence diminished by 1 month and extinguished completely by 3 months. Similarly, differences in VL between the DAART and SAT groups returned to baseline within 3 months after intervention termination, as did the proportion of DAART participants with undetectable VL within each group. Finally, a significant relationship between counseling and cART adherence was reported among a subset of individuals (n=22) who received 6 individual counseling MI/CBT sessions over the course of a 12-month period after the 24 week DAART trial ended [54]. No significant association between cumulative adherence counseling hours and post-counseling and VL, however, was found.

Second tier data also suggest promising outcomes for DAART in improving virologic outcomes among heterogeneous populations, including African American HIV-infected PWUDs [55], treatment-naïve HIV-infected IDUs in Italian prisons [56], and HIV-infected cART experienced PWUDs [57]. Second and third tier data for interventions that incorporated both DAART and MMT were somewhat consistent with data from the Berg et al. [51] trial, although suggested persistence of virologic and immunologic improvements at longer-term follow-up points. A prospective observational study among MMT HIV-infected IDUs demonstrated that a majority of patients (both cART naïve and experienced) achieved maximum viral suppression as well as significant incremental mean CD4 changes from baseline over 12 months of treatment [58]. Other long term-follow-up data indicated that a significant majority of MMT patients who received DAART were more likely to exhibit VL<400 copies/ml after 24 month follow-up as compared to baseline [59] and to achieve viral suppression through 12 months than were patients in comparison groups [60]. Finally, Sorensen et al. [61] reported marginal short-term improvements in adherence behaviors in the DAART arm compared to standard care participants, but the modest gain and group differences disappeared within one month after intervention completion. Virologic and immunologic outcomes, however, were not reported. It should be noted that it was difficult to draw conclusions from several MMT/DAART trials (e.g., [62]) as they reported a relatively small proportion of supervised cART doses in many patients.

Contingency Management

All 3 contingency management studies [6365] converged on similar results and demonstrated short-term improvements in cART adherence, but none showed persistence after vouchers were discontinued. Petry et al. [63] compared weekly CM or 12 Steps (TS) groups for 24 weeks among 170 HIV-infected patients with cocaine or opioid use disorders. From pre- to post-treatment, CM participants showed greater reductions in VL than TS participants, maintaining significant effects after controlling for duration and study group of interaction, with VL reduction among CM subjects and VL increase among TS participants. These effects, however, were not maintained throughout the 12-month follow-up period.

Rigsby et al. [64] randomized 55 HIV-infected subjects (the majority of whom had histories of heroin or cocaine use) to 4 weekly sessions of either nondirective inquiries about adherence (control group), cue-dose training (CD), or cue-dose training combined with cash reinforcement for correctly timed bottle opening (CD-CR). Results indicated significant improvement in adherence for the CD-CR but not for the CD group (as compared to the control group) during the active training period. By using week 4 adherence as a covariate, however, there was a significant decrease in adherence over time in the CD-CR group. Mean VL change from baseline through 12-week follow-up was not statistically significant different between each of the training groups and the control group.

Rosen et al. [65] built on the earlier Rigsby et al. [64] trial by lengthening the number of weeks individuals received treatment. Within the context of this new trial, 56 HIV-infected participants with SUDs and suboptimal adherence to cART were randomly assigned to 16 weeks of weekly CM-based counseling or supportive counseling, followed by 16 additional weeks of data collection and adherence feedback to providers. Mean adherence to cART was significantly increased relative to the supportive counseling group during the 16-week treatment phase. Though virologic outcomes were also improved in the immediate post-intervention aftermath for the CM group, differences between groups on adherence and VL outcomes were no longer significantly different after 16 weeks of observation.

Counseling Using Motivational Interviewing (MI) and/or Cognitive-Behavioral Treatment (CBT)

One RCT and 2 pilot trials using MI/CBT reported good short-term gains in cART adherence but limited efficacy in sustaining adherence improvement and VL reduction at follow-up points [6668]. In a RCT of 143 HIV-infected hazardous alcohol drinkers assigned to an 8-session MI/CBT intervention or a time- and content-equivalent educational condition, participants in the MI/CBT group demonstrated statistical (but not clinically significant) decreases in VL (at least a 0.5 log reduction), significant increases in CD4, and significantly greater improvement in cART adherence at the 3-month follow-up compared to the education condition [66]. None of the outcomes were sustained, however, at the 6-month visit.

Data from two pilot trials are largely consistent with the Parson’s 2007 RCT. Improvements in cART adherence were demonstrated for pilot trials incorporating MI plus feedback and skills building and MI/CBT through 3–6 months [6768]. These data, however, must be interpreted cautiously as one was an uncontrolled trial [67] and the other reported no significant between-groups effect for cART adherence between the MI and the control video education groups at any time point [68]. Similarly, there were no statistically significant main or between- group effects for the interventions on VL reductions or the proportion of participants with viral suppression.

Nurse-Delivered Multi-component Interventions

Three strong, high quality RCTs have incorporated nurse-delivered multi-component interventions [6971]. The data from the 3 trials consistently indicate improvements in viral suppression and cART adherence in the short term, but the benefits do not persist. The interventions were multi-component, incorporating many different treatment elements that are described below.

Samet et al. [69] conducted an RCT of a multi-component, nurse-delivered intervention to each participant to promote cART adherence and compared it to routine medical follow-up (including written or oral instructions about optimal medication adherence strategies) among 151 HIV-infected individuals with alcohol use disorders. Nurses trained in MI delivered the intervention over 3 months in 4 encounters (including a home visit) and included: addressing alcohol problems; providing a watch with a programmable timer to facilitate pill taking; promoting treatment self-efficacy; and delivering individually tailored assistance to facilitate medication use. No significant differences in medication adherence, CD4, or VL were detected after 6 or 12 months.

Results from the Williams et al. [70] and Wang et al. [71] counseling studies are consistent with the Samet et al. [69] trial despite the difference in treatment length and dose/intensity, substance abuse eligibility criteria, and geographical location. The Williams et al. [70] trial evaluated the efficacy of a 1-year home-visit intervention and compared it to usual care among 171 HIV-infected adults. The intervention team, consisting of a nurse and a community support worker, encouraged subjects to identify individual and social factors that they perceived as influencing their success with cART adherence. Usual care was variable and consisted of assistance with the development of medication schedules and strategies to improve adherence and/or patient education regarding medication dose, side effects, and the need for adherence. The proportion achieving >90% adherence in the intervention group through 15-month follow-up was statistically significant, yet when computed as a continuous variable, there were no differences between the 2 groups in change in adherence, VL, or CD4 count at 12 and 15 months.

In a replication study, Wang et al. [71] randomized 116 HIV-infected active or past heroin injectors to receive nurse-delivered home visits combined with telephone intervention over 8 months in China, while the control group received routine care. The home visits, expanded on in prior work [70], added semi-structured telephone calls to enforce the home visits. Routine care, however, was not described. After eight months, participants in the experimental group were significantly more likely to self-report taking 100% adherence, yet the study was limited by lack of virologic or immunologic outcomes.

Social Support and Peer-Driven Interventions

Preliminary peer-driven interventions have suggested some initial promise in fostering improved short-term treatment adherence among HIV-infected stimulant and opioid users [7273]. Longer term assessments in RCTs, however, suggest that improvements in adherence delivered through peer-driven or family support interventions may subside or decline over time.

Feaster et al. [74] conducted a RCT comparing Structural Ecosystems Therapy (SET), a 4-month intervention focused on building family support for relapse prevention and HIV medication adherence, to a psychoeducational Health Group (HG) in 126 HIV-infected women in recovery. SET participants, compared to HG, demonstrated no impact on VL, declining medication adherence, but a statistically significant increase in CD4 count at 12 months, primarily related to an increased proportion of SET participants receiving cART.

Purcell et al. [75] compared a 10-session peer mentoring intervention to an 8-session video discussion intervention (control condition) among 966 HIV-infected IDUs recruited in 4 US cities. Throughout 12-months of observation, there were no differences in adherence between the 2 conditions at any time point, and biological outcomes were not measured.

Educational Counseling

Educational counseling interventions targeting cART adherence among PWUDs are limited. One 5-month pilot observation study among a sample of primarily HIV-infected African American IDUs with documented cART non-adherence suggested that a brief intervention incorporating medication adherence psychoeducation counseling sessions with multi-compartment weekly pill organizers showed a significant increase in adherence, medication refills, and clinic appointments compared to baseline [76].

Adherence Case Management (Medication Management, Counseling, Incentives, Electronic Reminder)

Data for adherence case management programs are limited. One small community-based program reported that 16 of 25 (64%) patients receiving cART and case management for at least 2 months exhibited viral suppression, yet neither adherence was reported nor was there a comparison group [77].

Timer/Reminder Interventions

There are few efficacy data regarding the use of pager or timer-reminder interventions to promote cART adherence among PWUD, though they are suggestive at improving virologic suppression. One small study indicated that although well-accepted by participants and fairly feasible to implement, timer/reminders did not improve cART adherence among HIV-infected illicit drug and alcohol users after 1 and 2 month follow-ups [78]. In another small pilot study for out-of-drug treatment HIV-infected IDUs at mobile healthcare sites, viral suppression was achieved by 85% at 6 months, 77% at 9 months, and 54% by 12 months [79] when adherence was linked to injection practice reminders.

Integrated Medication-Assisted Therapy and Behavioral Interventions

The following section reports on the results of interventions that integrate medication-assisted therapies, such as with methadone or buprenorphine, various behavioral or psychosocial interventions, or other systems of care to improve HIV treatment outcomes. These interventions are limited to one RCT, pilot data, or examination of only adherence or only virologic and immunologic outcomes [31, 8082].

Integrating Medication-Assisted Therapy with HIV Treatment

Trials targeting the integration of medication-assisted therapies into HIV primary care have shown initial promise in improving HIV treatment outcomes. In the only identified RCT, Lucas et al. [80] conducted a 12-month RCT in which clinic-based treatment with buprenorphine and individual counseling was compared to case management and referral to an opioid treatment program among 93 HIV-infected, opioid-dependent subjects. Those with integrated care were significantly more likely to receive substance abuse treatment, but there were no significant changes from baseline in VL and CD4 between the study arms with respect to adherence to cART, VL, and CD4 counts.

In a much larger observational cohort, Altice et al. [81] reported that longer retention on buprenorphine treatment was significantly associated with increased likelihood of initiating cART, and improving CD4 counts for the entire cohort. It was not, however, associated with improved virological suppression, primarily due to the large proportion already on cART at baseline and high levels of virological suppression. Another study integrating BPN into HIV clinical care settings resulted in increases in initiation of cART and CD4. Among a subset of individuals who were not on cART at baseline, retention on BPN for 6 to 12 months resulted in an increased proportion of subjects with viral suppression compared to those who received BPN for shorter durations. When the analysis was limited to those not on cART at baseline, longer retention on BPN was significantly associated with higher levels of viral suppression compared to those with shorter BPN retention. Small pilot studies integrating BPN into HIV treatment settings suggest improvements in adherence and CD4 and trends in VL improvement at 3 and 6 month follow-up time points for those receiving integrated BPN and HIV care [31, 82].

Methadone Maintenance and Risk Reduction Counseling Treatment

Margolin et al. [83] randomized 90 HIV-infected IDUs receiving MMT to a 6-month behavioral intervention, the Holistic Health Recovery Project (HHRP+), or to an active enhanced MMT control that included harm reduction components recommended by the National AIDS Demonstration Research Project. Significantly more patients assigned to HHRP+ reported >95% adherence during the study treatment phase than did patients assigned to control group. Virologic changes as a result of the intervention were not examined in the trial.

Methadone Maintenance and CBT/MI Counseling

Safren et al. [84] conducted an RCT of an 8-session CBT intervention that addressed both cART adherence and depression (compared to enhanced control group of 89 opioid dependent, depressed HIV-infected patients receiving MMT). The control group included physician assessments and MEMs cap reading. At the end of treatment, the intervention arm had significantly greater cART adherence and reduction in depression compared to controls. Although depression gains were sustained, neither adherence nor virological outcomes persisted at 6 and 12-months.

Methadone Maintenance and Medication Coaching/Voucher Reinforcement

Sorensen et al. [85] randomized 66 HIV-infected MMT patients to 12 weeks of medication coaching plus voucher reinforcement for opening electronic medication caps on time versus a control of medication coaching only to assist with adherence. Though the intervention resulted in improved adherence, there were no statistically significant effects for either VL or CD4. Consistent with other contingency management trials, the differences in adherence disappeared between the groups when the vouchers were discontinued.

DISCUSSION

The current review was undertaken to provide an updated review of the scientific evidence for interventions that promote cART adherence among HIV-infected PWUDs. Current findings support several cART adherence interventions among PWUDs, including immediate improvements in adherence and virologic suppression. The best data support DAART alone and DAART integrated within MAT programs. Indeed, three strong DAART RCT trials showed evidence for significant VL or CD4 improvements during the intervention period when compared to controls, including when DAART is integrated within MMT [4951]. The long-term persistence associated with DAART, however, is not supportive as a stand-alone intervention [5253] and likely requires longer-term treatment, transitional programs, or booster sessions. The single arm longitudinal studies support sustained viral suppression and incremental CD4 increases over 12 [58] and 24 [59] months of treatment, yet this suggests that patients may need this level of intervention for a lifetime unless transitional interventions prove effective. Other studies have supported the limited post-treatment effects of DAART [86].

Although clinically intuitive, DAART interventions are labor-intensive and costly to implement. Although DAART trials have been shown to be cost-effective for various health conditions, including multidrug-resistant tuberculosis [87], the feasibility of implementing these interventions on a large scale and over a sustained time period is uncertain for life-long cART regimens. Nevertheless, in settings capable of implementing them, DAART interventions show the strongest intervention effect among non-adherent PWUDs. They have not, however, been studied among cART-naïve patients who have not yet demonstrated non-adherence and may prove beneficial in the short-term for this population. Cost-effectiveness analyses need be undertaken to evaluate the fiscal circumstances and cost-benefit ratios in order to optimize the implementation of DAART treatments for HIV-infected populations in various international and domestic regions where resources remain constrained.

Although quite different in theoretical orientation and intervention content, nurse-delivered multi-component interventions and contingency management treatments were not as consistent as DAART interventions, but, overall, resulted in non-sustained benefits in the few trials where an intervention effect was found [6365, 6971]. By end of treatment and/or follow-up, differences between groups in adherence and viral load were no longer significantly different. Additional research efforts should aim to design contingency management or nurse-delivered multi-component interventions that extend the adherence and virologic effects of the interventions. In light of the current findings, however, there are insufficient data to fully support multi-component interventions or contingency management as long-term adherence strategies, yet RCTs are currently underway.

Although there are promising data from pilot trials, the efficacy of educational counseling, adherence case management, timer/reminder, peer-driven and family support interventions to promote cART adherence among PWUDs have not been established. For example, although preliminary pilot peer-driven and family support interventions have reported somewhat favorable trends in cART adherence gains [7273], the longer assessment timeframes traditionally captured in RCTs indicated that improvements in adherence as a function of peer-driven or family support interventions gains may subside over time. More conclusive larger-scale trials are needed to evaluate the potency of these interventions.

Though the findings for the integration of MAT into HIV treatment is generally supportive of improving HIV treatment outcomes, RCTs have yet to be fully conducted. Uncontrolled trials consistently showed increases in adherence [42], likelihood of prescribing cART, viral suppression, and CD4 [47, 82] in individuals receiving MAT. In addition, data supports improvements in cART adherence and stable VL and CD4 at short-term follow-ups among populations treated with BPN [4546] and long-term virologic success with retention in OST care [48]. The only RCT [80] to date that evaluated the integration of buprenorphine into HIV clinical care settings did not indicate improvement in cART adherence or virologic and immunologic outcomes, although this is best explained by the high proportion of subjects already prescribed and adherent to cART at baseline.

The degree to which behavioral interventions potentiate the effects of ongoing MAT should be explored further. Three RCTs integrating MMT and various behavioral interventions [8385] displayed short-term adherence gains but none support long-term virologic suppression. Additional rigorous trials on the clinical efficacy of integrated MAT and behavioral interventions for cART adherence and relevant HIV clinical outcomes for HIV-infected PWUD populations are urgently needed.

Of great concern is that none of the adherence interventions among PWUDs, in general, demonstrate long-term, post-intervention HIV treatment outcomes. One of the central tenets for the future success of the “seek, test, treat, and retain” and “treatment as prevention” paradigms is to foster and maintain HIV treatment adherence among vulnerable populations, such as PWUDs. Because HIV is a chronic, life-long illness, interventions meant to facilitate durable adherence to cART regimens will likely need to include ongoing booster sessions to promote and maintain adherence behaviors or to initiate them before a patient has entered into significant patterns of non-adherence. Furthermore, interventions that simultaneously target drug abuse as well as non-adherence may provide more long-term success, as attempting to substantively modify adherence patterns in the absence of concomitantly treating drug abuse may be difficult.

An intuitive and unique potential platform for the delivery of ongoing, sustained and long-term HIV adherence care may be through the use of mobile technologies. Given their relative low cost and wide penetration across the US and most international settings, albeit with uncertain acceptability among PWUDs, mobile technologies (e.g., cell phone, smart phones) may offer new opportunities for long-term adherence monitoring and intervention. Future research efforts should focus on evaluating the acceptability, feasibility, clinical efficacy, and cost-effectiveness of technologically-delivered interventions that range the gamut, from those that include elements of CM, CBT, MI, DAART (through video). Various technologies and the applications they support, including short message services, real-time, global positioning system, connectivity to the internet (and educational and social support services) allow for an unprecedented opportunity to provide interventions in “real time” (in response to missed HIV doses, heightened drug cues) and over a longer sustained timeframe (if only to provide booster sessions) than has previously been possible. Future research can also identify subpopulations among PWUDs for whom certain technologies and/or mode of communication with providers or peers may be preferred and/or most efficacious. Multiple potential funding mechanisms within the National Institutes of Health place emphasis on the development and evaluation of these technologically-delivered interventions for PWUDs (e.g., Program Announcement: PA: 12–117 and 12–118).

Though an exhaustive review of cART adherence interventions were assessed, limitations remain. First, the authors narrowly limited the HIV treatment outcomes to adherence, viral suppression, and immunologic outcomes. Structural interventions, such as changes in drug policy, reducing incarceration or community-based policing, were not empirically tested and therefore not included. Outcomes relating to substance abuse treatment, engagement and retention in care, mortality, and resistance, while important, were not the target of this review. Additionally, although the authors deployed a comprehensive set of search strategies to identify relevant articles, it is possible that the authors overlooked some articles, potentially biasing the interpretations and discussion. Finally, there was no quantification of intervention effects, with this review solely focusing on reporting general trends in the literature. One of the challenges for this review, as noted by others [29, 88], is the inconsistency and lack of uniformity in the reporting of important dependent variables across the reviewed studies. For example, past experience with cART regimens was often not elucidated in trials nor was any potential differential effect of interventions on cART-naïve versus cART-experienced participants. Substance abuse disease severity was usually underreported and/or highly heterogeneous across samples, including definitions of abuse versus dependence. Virologic and immunologic markers of disease severity as well as cART rates were often missing at baseline for included samples, so the degree and robustness of any given intervention’s effect was difficult to quantify. Moreover, adherence was measured over differing time frames (e.g., daily, past week, month), during differing time periods (e.g., 4, 6, 12 or 24 months) and with various adherence thresholds (mean, >90, >95%). To the extent possible, a more consistent approach to reporting and data analysis is required in order to make more meaningful inferences across trials.

CONCLUSION

Recent guidelines, using rigorous techniques for classifying the quality of trials, provide the strongest support for DAART to support cART adherence among PWUDs. Within this review, however, there are a number of other potentially promising options that require further investigation; they should be reassessed with booster sessions, in cART-naïve PWUDs, and subjected to longer-term evaluation. In order to achieve the benefits needed to reduce HIV transmission and effectively reduced HIV-related mortality, such interventions will ultimately need to be efficacious, effective in real-world settings, and result in sustainable viral suppression.

Table 2.

Description of Tier 2 Adherence Interventions for HIV-Infected People Who Use Drugs

Year/

Author/

Type of
Intervention
Type of
Substance Use
Intervention Group Comparison Group Adherence
Measurement
Retention Rate
and/or Follow-up
Timeframe
Adherence Impact Virological and
Immunological
Impact
Medication-
Assisted
Therapy
2000

Moatti45



BPN
IDU n = 32; BPN
ambulatory DMT
n = 132 ex-IDU; n = 17
IDU not on DMT
Nurse-administered
questionnaire asking
about number of daily
pills taken during the
week prior to the visit
(non-adherent
classified as < 80%)
as well as a self-
administered questionnaire (non-
adherent if admitted
that they have not
been “totally
adherent”)
Not reported 107 of 164 patients
(65.2%) could be
classified as fully
adherent with cART as
classified by the nurse-
administered
questionnaire; active
IDU were ~5 times
more likely to be non-
adherent
than IDU on
DMT and ex-IDU;
IDU on DMT had
higher adherence than
ex- IDU, although this
difference did not
reach statistical
significance
Non-adherent patients
had significantly higher
median VL (3.9 log10
copies/mL vs. 2.7 log10
copies/mL); median
decrease in VL before
and after initiation of
cART was significantly
lower among non-
adherent
(−0.53 log10
copies/mL) as compared
to adherent patients (−
1.04 log10 copies/mL)
2009

Roux48



BPN or MMT
Dependent on
opioids; validated
through urine
tests
n =53 BPN; n=28
MMT
n = 32; no OST Self report (ACTG
Questionnaire);
patients were
considered “adherent”
if they reported that
they had taken

100% of the total dose
of prescribed drugs
during the previous
month
Median duration of
OST was 25 months
(range, 3–42 months)
52.2% were 100%
adherent at baseline;
over the course of 5
year longitudinal study,
48.4% mean adherence
Patients who received
BPN or MMT while on
cART had a 2–4 fold
increased likelihood of
virological success
when compared with
patients who did not
receive OST; retention
in OST (median
duration = 25 months)
was significantly
associated with long-
term virological success
(OR = 1.20 per 6-month
increase, 95% CI = 1.09
–1.32)
2010

Springer46



BPN
Opioid-
dependence
(DSM-IV
criteria)
n = 23; BPN/NLX SAT Not reported 74% for all 23
subjects and 81% for
the 21 who
completed induction
Not reported Proportion with a non-
detectable VL (VL<400;
61% vs. 63% log10
copies/ mL) and mean
CD4 (367 vs. 344
cells/mL) was
unchanged at 12 weeks
as compared to baseline
Psychosocial/

Behavioral
2000

McPherson-
Baker76



Hybrid:
counseling and
technological
intervention
Past or current
history of
substance use;
identified by
patient chart data
n = 21; monthly
medication counseling
and weekly
medication pill
organizer
n = 21; matched controls
receiving standard
pharmacy care including

review of medications
(1) number of
prescribed
medications refilled;
(2) number of missed
clinic appointments;
(3) number of
hospitalizations; and
(4) number of
opportunistic
infections
Not reported Significant increase
from baseline to 5
months post-
intervention with HIV-
related medication
refills (pre-intervention
refill compliance =
46.7% vs. post-
intervention refill
compliance = 75.8%)
and clinic
appointments (pre-
intervention visit
compliance = 56.7%
vs. post intervention
visit compliance =
76.1%)
Not reported
2000
Babudieri56



DAART
IDU n = 37; cART
administered by
prison nurses
(DAART schedule)
n = 47; nurses left drugs
with patient once a day
with no directly observed
control (NDOT schedule)
Not reported 95% of intervention
group remained in
study
Assumed to be
100%
(but not reported)
All patients in the
DAART group showed
a significant decrease

in VL (> 2 log10
copies/mL);

23 (62.1%) DAART
participants exhibited
VL < 400 copies/mL vs.
16 (34.0%) NDOT
patients (OR = 3.18,
95% CI = 1.18–8.67, p =
0.01); 2 DAART
patients (5.4%) vs. 15
NDOT patients (31.9%)
displayed CD4 < 200
cells/mL (OR = 0.12, p
< 0.001)
2000

Rigsby64



Contingency
management
History of heroin
or cocaine use;
validated by urine
toxicology screen
Cue-dose training:
personalized cues for
remembering
particular dose times
(CD; n = 22); cue-
dose training
combined with cash
reinforcement for
correctly timed bottle
opening (CD+CR; n =
15)
n = 18; nondirective
inquiries about adherence
MEMS; adherence
defined as percentage
of prescribed doses
taken on time at
weekly intervals;
mean baseline
adherence for the
primary medication
was 69%
Four subjects
stopped using the
MEMS devices
during the active
intervention period
(weeks 0 to 4) and 5
stopped during the
follow-up period
(weeks 5 to 12)
During the active
training period (weeks
0 –4), significant
increase in adherence
over time for the
CD+CR group but not
the CD group as
compared to control
group; during weeks 5–
12, significant decrease
in adherence

over time in the
CD+CR group (z =
2.2, p = 0.026),
compared with the
control group, but
no significant
change in the CD
group compared
with controls
Over 12 weeks, mean
change in VL was 0.64
log10 copies/mL
increase in the CDCR
group, 0.29 log10
copies/mL decrease in
the CD group, and 0.34
log10 copies/mL
increase in the control
group; no significant VL
changes between each
of the training groups
and the control group
2011

Ingersoll68



Hybrid:
motivational
interviewing
plus CBT
Current crack
cocaine use or a

crack cocaine use
disorder (abuse or
dependence)
n = 28; motivational
interviewing plus
feedback and skills
building (MI+)
n = 28; video information
plus debriefing (Video+)
Self-report timeline
follow-back method
(defined as the
percent of prescribed
pills taken per day)
over past 14 days
68% of the
intervention group
and 82% of the
control group
completed the 6-
month follow-up
Adherence
improved

from 60.2% at baseline
to 93.3% at 3 months
and 93.9% at 6 months
for MI+ condition; in
the Video+ condition,
adherence improved
from 56.4% at baseline
to 87% at 3 months and
86% at 6 months; no
significant between-
group differences on
adherence outcomes
No VL changes were
observed in either group
Integrative
Medication-
Assisted and
Behavioral
2004

Tinoco91



DAART plus
MMT
IDU n = 47; DAART n = 51; self-administered Not reported 89% of the
intervention group
and 96% of the
control group
remained at the end
of follow-up
Not reported Significant
improvement in VL
for DAART group
(decrease in
DAART group, −1.7
±2.3 log10
copies/mL vs.
control group,
−0.4±1.5 log10
copies/mL; p < 0.01)
2006

Lucas60



DAART plus
MMT
IDU n = 82; DAART 3 groups: 1) history of
IDU who were receiving
MMT at the time cART
was used (n = 75); 2)
history of IDU who were
not receiving MMT at the
time that cART was used
(n = 244); 3) no history
of IDU (non-IDU group;
n = 490)
Not reported Retention to HAART
at 3 months was 83%
in the DAART
group, compared
with 61% in the IDU
methadone group,
73% in the IDU-
nonmethadone group, and 80% in
the non-IDU group
Not reported At 12 months,
DAART participants
(56%) were
significantly more
likely to achieve
VL< 400 copies/mL
than were patients in
each of the 3
comparison groups
(32% in the IDU-
MMT
group, 33%
in the IDU-non-
MMT group and
44% in the non-IDU
group)
2006

Sullivan82



BPN plus
counseling
Opioid
dependence as
defined by DSM-
IV criteria and
opioid-positive
urine toxicology
test; excluded if
currently
dependent on
alcohol, cocaine,
benzodiazepine,
or sedatives
n = 8; BPN/NLX
along with physician
management
combined with nurse-
administered BPN
counseling and
adherence
management
n = 8; daily BPN/ NLX
treatment along with
physician management
MEMS Of the 16 patients
who received a dose
of buprenorphine/
naloxone, 13 (81%)
completed the 12-
week study, and 3
(19%) discontinued
treatment after
receiving the first
dose of medication
Overall mean
adherence to cART
was 68%
Mean VL of 3.0 +/
0.57 log10
copies/mL at month
3 was significantly
lower than the mean
baseline VL of 3.66
+/− 1.06 log10
copies/mL (p <
0.05); no significant
differences based on
counseling treatment
were detected
2011
Cunningham31



BPN with case
management
Opioid
dependence
(DSM-IV
criteria);
excluded if
alcohol

or
benzodiazepine
dependence
(DSM–IV
criteria)
n = 17; HIV
treatment, opioid
addiction treatment
with BPN/NLX, and
(MI) by the same
physician at CHC
n = 12; HIV treatment at
the CHC and opioid
addiction treatment at a
nearby affiliated drug
treatment program
Not reported 91% were enrolled in
the study for 6
months
Not reported No clear significant
differences between
baseline and 6 months
or between-group
differences for any of
the HIV clinical
outcomes

LEGEND: OST = Opioid Substitution Treatment ; IDU = Intravenous Drug Use; CM = Contingency Management; DAART = Directly Administered Antiretroviral Therapy; MI = Motivational Interviewing; CBT = Cognitive Behavioral Therapy; TAU=Treatment as Usual; MMT = Methadone Maintenance Treatment; VL = HIV RNA Viral Load; CD4 = CD4 lymphocyte count; BPN = buprenorphine; BPN/NLX= buprenorphine/naloxone; MEMS = Medication Event Monitoring System; ACTG = The AIDS Clinical Trials Group Adherence Questionnaire; cART = combination antiretroviral therapy; CHC = Community Health Center; DMT= drug maintenance treatment; NDOT = No directly observed control schedule

ACKNOWLEDGEMENTS

The authors would like to acknowledge Paula Dellamura for her editorial assistance in the preparation of this manuscript and all study authors who responded to inquiries about relevant papers. We would also like to thank the National Institutes on Drug Abuse for career development support (K24 DA017072 for FLA). The views and opinions expressed in this report are those of the authors and should not be construed to represent the views of the National Institutes on Drug Abuse or any of the sponsoring organizations, agencies, or the U.S. government.

Footnotes

Disclosure: CampBinford: none; Kahana: none; Altice: consultant for Bristol-Myers Squibb, honoraria and travel/accomodation assistance from Bristol-Myers Squibb, Merck, Genentech and Simply Speaking.

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