Abstract
Background:
People living with HIV are prescribed opioids more often and at higher doses than people who do not have HIV, and disproportionately experience risk factors for substance use disorder, which suggests they could be at increased risk of the misuse of opioids. Researchers also suggest that opioid misuse negatively affects various HIV clinical outcomes, increasing the risk of transmission to partners with an HIV-negative status.
Methods:
We calculated weighted percentages and 95% confidence intervals to estimate substance use characteristics among a probability sample of 28,162 HIV-positive adults receiving medical care in the United States who misused opioids (n = 975). Then, we used Rao-Scott χ2 tests to assess bivariate associations between opioid misuse and selected characteristics.
Results:
In all, 3.3% misused opioids. Misuse was more common among young adults, males, and non-Hispanic whites. Persons who misused opioids were less likely to: have been prescribed antiretroviral therapy (ART) (88.7%), report being adherent to ART medications in the past 3 days (78.1%), and have durable viral suppression (54.3%) than persons who did not misuse opioids (92.5%, 87.7%, and 64.7%, respectively). Persons who misused opioids were more likely to report condomless sex with partners of negative or unknown HIV status while not durably virally suppressed (11.7% vs 3.4%) than persons who did not misuse opioids.
Conclusions:
Opioid misuse among adults receiving HIV medical care is associated with inadequate ART adherence, insufficient durable viral suppression, and higher risk of HIV transmission to sexual partners.
Keywords: HIV, surveillance, heroin, transmission, prevention, opioid
INTRODUCTION
The opioid crisis in the United States has led to devastating health consequences. The Centers for Disease Control and Prevention (CDC) reported that 66.4% of drug overdose deaths in 2016 involved the use of an opioid.1 The use of opioids, such as heroin, fentanyl, oxycodone, and hydrocodone, has been tied to increased death rates across the United States.2 Evidence suggests the nonmedical use of prescription opioids is associated with the subsequent use of heroin3 and injection drug use.4 Injection drug use increases the risk of HIV and hepatitis C virus transmission and other blood borne infections.5 Persons who misuse opioids tend to engage in risky behaviors, including condomless sex,6,7 having multiple concurrent partners,6,8 and syringe-sharing.7
Studies have shown that people living with HIV (PLWH) are more likely to be prescribed opioids than those not living with HIV9 and at higher dosages,9,10 in part because pain is a commonly reported symptom among patients with HIV infection.11 PLWH are also more likely to experience mental health issues and substance use disorders,12 which are known risk factors for opioid misuse.13 Evidence suggests PLWH who misuse opioids are less likely to be prescribed antiretroviral therapy (ART),14 adherent to ART, and engaged in regular HIV care,15 which could decrease the likelihood of viral suppression and lead to adverse health outcomes and increase the risk of transmitting HIV to others. As networks of persons who misuse opioids expand to include people who inject opioids and PLWH, HIV transmission risks could increase. Keeping PLWH engaged in medical care and virally suppressed is a key strategy for preventing the transmission of HIV and an important part of national HIV prevention goals.16
Currently, there are no national data describing opioid misuse among PLWH. Given the increased risk of opioid misuse among PLWH and the links between misuse, poor health outcomes, and HIV transmission, these data are essential to inform and monitor an effective response and prevent the spread of HIV. This analysis is the first to provide nationally representative estimates of opioid misuse and associations with sociodemographic, clinical, and behavioral characteristics among HIV-positive adults receiving medical care in the United States.
METHODS
Participants and Procedures
The Medical Monitoring Project (MMP) is a surveillance system that collects annual nationally representative interview and medical record data on the sociodemographic, clinical, and behavioral characteristics of adults receiving HIV care in the United States. MMP’s methods are described elsewhere.17 For the 2009–2014 cycles of MMP, we used a 3-stage sampling design that first sampled US states and territories, followed by outpatient medical facilities providing HIV care, and finally, HIV-infected adults aged 18 years and older who had at least one medical visit to a participating facility during January through April of the respective cycle year. This analysis combined data from the 2009–2014 cycles of MMP, which were collected during June 2009–May 2015. All sampled states and territories participated in MMP. Facility response rates ranged from 76% to 86%, whereas patient response rates ranged from 49% to 56%.
CDC determined that MMP is public health surveillance and, as a nonresearch activity, is not subject to federal institutional review board review.18 However, if required, participating states or territories and facilities obtained local institutional review board approval. In addition, all federal, state, and local MMP staff adhere to security and confidentiality regulations that are designed to protect the privacy of respondents. Informed consent was obtained from all interviewed participants. Data were weighted to account for unequal probabilities of selection and facility and patient nonresponse.
Measures
Opioid misuse was defined as any self-reported injection use or use other than injection of heroin or prescription opioids for nonmedical purposes. We grouped people who misused opioids into the following 3 groups: (1) persons who misused prescription opioids, (2) persons who used heroin, and (3) persons who misused both prescription opioids and heroin. The mode of opioid misuse was defined as any injection use or use other than injection, hereafter referred to as noninjection use. The frequency of opioid misuse was categorized as daily, weekly, monthly, or less than monthly.
Sociodemographic and behavioral characteristics were self-reported, and the time reference for all measures was 12 months before the interview, unless otherwise noted. Sociodemographic characteristics included age, race/ethnicity, gender, sexual behavior/orientation, education, health care coverage, household poverty level as measured by Department of Health and Human Services guidelines,19 country/territory of birth, time since HIV diagnosis, and homelessness. Symptoms of depression in the prior 2 weeks were identified through the 8-item Patient Health Questionnaire,20 and enrollment in an inpatient mental health facility and need for mental health services were also assessed.
Substance use data included nonopioid drugs used, stimulant drug use (eg, methamphetamine, amphetamine, crack, and cocaine), polydrug use (use of other drugs, excluding marijuana, in addition to opioids), binge drinking in the past 30 days (≥5 alcoholic beverages in one sitting for males and ≥4 in one sitting for females), enrollment in an inpatient drug or alcohol treatment facility, and self-identified need for drug or alcohol counseling or treatment. Clinical data were obtained from participants’ medical records and included ART prescription, durable HIV viral suppression (all HIV viral load measurements documenting undetectable or <200 copies/mL during the 12 months preceding the interview), and regular HIV care utilization (at least one HIV viral load test every 6 months). ART adherence was self-reported and defined as taking 100% of prescribed ART medications during the past 3 days.
HIV transmission risk and protective factors included condomless sex with partners of negative or unknown HIV status, while not durably virally suppressed, and HIV or sexually transmitted disease (STD) transmission prevention counseling by a health care worker or prevention specialist. Distributive sharing behaviors included syringe sharing (when a person gave their used needle to someone else for use), equipment sharing (when a person gave their used cookers, cotton, or rinse water to someone else for use), and the division of shared drugs with a syringe.
Of the 28,162 persons included in the analysis, 975 reported opioid misuse. We calculated weighted percentages and 95% confidence intervals (CIs) to estimate substance use characteristics among persons who misused opioids.17 Then, we used Rao-Scott χ2 tests to assess bivariate associations between opioid misuse and selected characteristics. Bivariate associations with a P value of <0.05 were considered significant. All weighted analyses accounted for the complex sample design using the survey procedures in SAS version 9.3 (SAS Institute Inc., Cary, NC).
RESULTS
We estimate that 3.3% (95% CI: 3.0 to 3.6) of adults receiving HIV care in the United States misused opioids. In all, 2.1% (CI: 1.9 to 2.4) misused prescription opioids, 1% (CI: 0.8 to 1.1) used heroin, and 0.2% (CI: 0.1 to 0.3) reported using both (data not shown in the table). Among persons who reported any opioid misuse, 64.8% reported misusing prescription opioids, 29.1% reported using heroin, and 6.1% reported using both (Table 1). Among all persons who misused opioids, 23.1% reported injecting them. Among persons who injected opioids, heroin was most commonly injected (92.5%, CI: 88.0 to 97.0); however, 5.5% injected prescription opioids (CI: 1.4 to 9.5) and 2% injected both (CI: 0.2 to 3.9) (data not shown in the table). Injection use of opioids was more frequent [daily (28.7%) and weekly (17.7%)] than noninjection use (18.6% and 14.6%, respectively). The prevalence of polydrug use among persons who misused opioids was 74.1%, with 66.6% reporting marijuana use, 37.1% reporting cocaine use, and 58.2% reporting stimulant drug use. Among persons who misused opioids, 32% reported receipt of drug or alcohol counseling or treatment and 13.8% reported enrolling in an inpatient drug or alcohol treatment facility. Among persons who reported injecting opioids, 43% received free sterile needles and 38.1% received free injection equipment.
TABLE 1.
Characteristic | n* | % (95% CI)† |
---|---|---|
Type of opioid | ||
Prescription opioids only | 584 | 64.8 (59.7 to 69.9) |
Heroin only | 314 | 29.1 (24.3 to 33.9) |
Both | 77 | 6.1 (4.3 to 8.0) |
Mode of opioid use | ||
Injection | 251 | 23.1 (18.8 to 27.3) |
Noninjection only | 724 | 76.9 (72.7 to 81.2) |
Frequency of opioid use | ||
Daily | 225 | 21.0 (17.6 to 24.3) |
Weekly | 148 | 14.9 (11.5 to 18.4) |
Monthly | 132 | 13.2 (11.0 to 15.3) |
Less than monthly | 470 | 50.9 (45.5 to 56.4) |
Frequency of injection opioid use‡ | N = 251 | |
Daily | 71 | 28.7 (22.2 to 35.1) |
Weekly | 47 | 17.7 (12.8 to 22.7) |
Monthly | 37 | 13.9 (8.5 to 19.4) |
Less than monthly | 96 | 39.7 (31.9 to 47.4) |
Frequency of noninjection opioid use‡ | N = 724 | |
Daily | 171 | 18.6 (14.6 to 22.6) |
Weekly | 125 | 14.6 (10.9 to 18.3) |
Monthly | 106 | 12.8 (10.2 to 15.3) |
Less than monthly | 425 | 54.0 (47.8 to 60.1) |
Polydrug use | ||
Yes | 730 | 74.1 (70.0 to 78.2) |
Other drugs used§ | ||
Marijuana | 628 | 66.6 (62.0 to 71.2) |
Cocaine | 389 | 37.1 (33.1 to 41.1) |
Downers (eg, Valium, Ativan, or Xanax) | 251 | 27.3 (24.3 to 30.3) |
Methamphetamines (crystal meth, tina,crank, and ice) | 257 | 26.9 (21.2 to 32.6) |
Crack | 222 | 21.4 (18.2 to 24.7) |
Poppers (amyl nitrate) | 184 | 19.7 (16.0 to 23.4) |
Amphetamines (speed) | 112 | 12.1 (9.6 to 14.6) |
X, ecstasy | 108 | 10.8 (8.4 to 13.2) |
GHB | 93 | 9.9 (7.1 to 12.7) |
Hallucinogens (eg, lysergic acid diethylamide or mushrooms) | 72 | 7.1 (5.2 to 9.1) |
Special K (ketamine) | 43 | 4.4 (3.0 to 5.9) |
Stimulant drug use║ | ||
Yes | 591 | 58.2 (53.9 to 62.4) |
Binge drinking (during past 30 d) | ||
Yes | 322 | 32.4 (29.3 to 35.5) |
Enrolled in inpatient drug or alcohol treatment facility | ||
Yes | 141 | 13.8 (10.9 to 16.6) |
Received drug or alcohol counseling or treatment | ||
Needed, but did not receive | 77 | 8.1 (5.6 to 10.7) |
Received | 342 | 32.0 (27.9 to 36.1) |
Did not need and did not receive | 556 | 59.9 (55.0 to 64.8) |
Received free sterile needles¶ | ||
Yes | 121 | 43.0 (35.2 to 50.8) |
Received free new injection equipment¶ | ||
Yes | 109 | 38.1 (30.7 to 45.4) |
Time period for measurement of the estimates is during the 12 months before interview, unless otherwise noted.
Numbers are unweighted.
Percentages and corresponding CIs are weighted percentages.
Respondents could be in both categories if they reported both injection and noninjection opioid use.
Respondents could report more than one drug.
Stimulants included: methamphetamine, amphetamine, crack, and cocaine.
Among respondents who injected opioids.
GHB, gamma hydroxybutyrate.
Opioid misuse was significantly associated with age, gender, race/ethnicity, sexual behavior, health care coverage, poverty level, and country of birth (Table 2). Persons who misused opioids were significantly more likely to have reported homelessness in the past 12 months (21.5%) compared with those who did not misuse opioids (7.9%). Regarding clinical characteristics, persons who misused opioids were less likely to have been prescribed ART (88.7%), been adherent to ART medications in the past 3 days (78.1%), and have durable viral suppression (58.5%) than persons who did not misuse opioids (92.5%, 87.7%, and 69.1%, respectively). Persons who misused opioids were more likely to report symptoms of major or other depression (36.3%) compared with persons who did not misuse opioids (21.5%). Finally, misuse was significantly associated with mental health services sought in the past 12 months, with persons who misused opioids being more likely to report receiving (40.1%) or needing but not receiving (11.2%) mental health services than persons who did not misuse opioids (26.9% and 5.9%, respectively).
TABLE 2.
Misused Opioids |
Did Not Misuse Opioids |
||||
---|---|---|---|---|---|
n* | % (95% CI)† | n* | % (95% CI)† | P for Rao-Scott χ2 Test | |
Total | 975 | 3.3 (3.0 to 3.6) | 27,187 | 96.7 (96.4 to 97.0) | |
Age (yr) | |||||
18–29 | 114 | 13.0 (10.6 to 15.5) | 2034 | 7.8 (7.1 to 8.5) | <0.0001 |
30–39 | 185 | 19.5 (16.8 to 22.2) | 4125 | 15.5 (14.9 to 16.1) | |
40–49 | 327 | 33.0 (29.8 to 36.3) | 9005 | 32.9 (32.3 to 33.6) | |
≥50 | 349 | 34.4 (30.2 to 38.5) | 12,023 | 43.7 (42.9 to 44.6) | |
Gender | |||||
Male | 763 | 79.6 (75.5 to 83.8) | 19,467 | 72.3 (70.6 to 74.1) | 0.0001 |
Female | 202 | 19.5 (15.4 to 23.5) | 7305 | 26.2 (24.5 to 27.9) | |
Transgender | 10 | 0.9 (0.3 to 1.5) | 400 | 1.5 (1.3 to 1.6) | |
Race and ethnicity | |||||
White (non-Hispanic) | 415 | 46.2 (39.8 to 52.7) | 8501 | 32.8 (28.8 to 36.8) | <0.0001 |
Black (non-Hispanic) | 320 | 29.3 (22.8 to 35.8) | 11,412 | 42.1 (36.9 to 47.4) | |
Hispanic or Latino | 190 | 18.9 (14.1 to 23.7) | 6072 | 20.4 (16.9 to 24.0) | |
Other/multiracial‡ | 50 | 5.5 (3.5 to 7.5) | 1202 | 4.6 (4.1 to 5.2) | |
Sexual behavior/orientation | |||||
Sex with men (among men) | 467 | 51.9 (46.1 to 57.7) | 12,763 | 48.0 (45.1 to 50.9) | 0.001 |
Sex with women only (among men) | 292 | 27.4 (23.4 to 31.4) | 6510 | 23.5 (22.2 to 24.9) | |
Sex with men (among women) | 194 | 18.5 (14.6 to 22.5) | 7117 | 25.5 (23.8 to 27.2) | |
Education | |||||
<High school | 254 | 22.6 (18.6 to 26.6) | 5797 | 20.8 (19.4 to 22.2) | 0.0893 |
High school diploma or equivalent | 280 | 29.5 (26.4 to 32.5) | 7436 | 27.0 (25.8 to 28.2) | |
>High school | 441 | 47.9 (42.6 to 53.2) | 13,945 | 52.2 (49.9 to 54.5) | |
Health care coverage | |||||
Any private insurance | 245 | 27.0 (22.7 to 31.4) | 7891 | 30.4 (28.1 to 32.7) | 0.0289 |
Public insurance only | 596 | 57.2 (52.3 to 62.1) | 14,321 | 50.6 (48.5 to 52.8) | |
Ryan White coverage only | 98 | 12.1 (8.9 to 15.3) | 3783 | 14.8 (13.0 to 16.6) | |
Uninsured | 17 | 1.8 (0.8 to 2.9) | 603 | 2.2 (1.8 to 2.6) | |
Poverty level | |||||
At or below poverty level | 518 | 50.6 (45.9 to 55.3) | 12,397 | 45.9 (43.6 to 48.3) | 0.0282 |
Above poverty level | 435 | 49.4 (44.7 to 54.1) | 13,740 | 54.1 (51.7 to 56.4) | |
Country or territory of birth | |||||
Born in foreign country | 34 | 3.9 (2.4 to 5.3) | 3975 | 14.6 (13.3 to 15.9) | <0.0001 |
Born in the United States | 941 | 96.1 (94.7 to 97.6) | 23,202 | 85.4 (84.1 to 86.7) | |
Time since HIV diagnosis | |||||
<5 yrs | 204 | 23.3 (20.5 to 26.2) | 5470 | 21.2 (20.3 to 22.1) | 0.0854 |
5–9 yrs | 183 | 17.7 (15.1 to 20.4) | 5672 | 20.8 (20.2 to 21.5) | |
≥10 yrs | 588 | 58.9 (55.5 to 62.4) | 16,033 | 57.9 (56.6 to 59.3) | |
Homeless at any time (past 12 mo) | |||||
Yes | 218 | 21.5 (18.2 to 24.8) | 2152 | 7.9 (7.3 to 8.4) | <0.0001 |
ART prescription | |||||
Yes | 872 | 88.7 (86.6 to 90.9) | 25,171 | 92.5 (92.1 to 92.9) | <0.0001 |
ART adherence (past 3 d)§ | |||||
Yes | 637 | 78.1 (74.5 to 81.7) | 21,515 | 87.7 (87.0 to 88.4) | <0.0001 |
Durable viral suppression | |||||
All HIV viral load measurements documented undetectable or <200 copies/mL | 527 | 58.5 (55.1 to 61.8) | 17,741 | 69.1 (68.0 to 70.3) | <0.0001 |
Any HIV viral load ≥200 copies/mL | 384 | 41.5 (38.2 to 44.9) | 7789 | 30.9 (29.7 to 32.0) | |
Regular care utilization | |||||
Yes | 679 | 70.7 (67.1 to 74.3) | 20,109 | 74.1 (72.9 to 75.3) | 0.0641 |
Depression | |||||
Any depression | 333 | 36.3 (32.7 to 40.0) | 5748 | 21.5 (20.6 to 22.4) | <0.0001 |
Enrolled in inpatient mental health facility | |||||
Yes | 78 | 8.3 (6.1 to 10.5) | 788 | 2.8 (2.5 to 3.0) | <0.0001 |
Received mental health services | |||||
Needed but did not receive | 113 | 11.2 (8.8 to 13.6) | 1559 | 5.9 (5.4 to 6.4) | <0.0001 |
Received | 399 | 40.1 (35.8 to 44.4) | 7470 | 26.9 (25.7 to 28.2) | |
Did not need and did not receive | 463 | 48.7 (44.4 to 53.0) | 18,115 | 67.2 (65.9 to 68.5) |
Numbers are unweighted.
Percentages and corresponding CIs are weighted percentages.
Includes American Indian/Alaska Native, Asian, Native Hawaiian/Other Pacific Islander, or multiple races.
Among those taking ART.
Among persons who misused opioids, 11.7% had condomless sex while not durably virally suppressed with an HIV-negative partner or partner of unknown serostatus, compared with 3.4% of those who did not misuse opioids (Table 3). Persons who injected opioids were significantly more likely to have engaged in practices that increase the risk of HIV transmission compared with persons who injected drugs other than opioids. Among persons who reported injecting opioids, 16.6% reported distributive syringe sharing, 21.2% reported distributive sharing of other injection equipment, and 30.9% reported sharing syringes to divide drugs (compared with 9.3%, 6.6%, and 18.9%, respectively, among persons who injected drugs other than opioids). Only 38.3% of persons who misused opioids reported receiving HIV or STD prevention counseling from an outreach worker, counselor, or other prevention worker, and 50.7% reported receiving HIV or STD prevention counseling from a health care provider in the past 12 months.
TABLE 3.
Misused Opioids (n = 975) |
Did Not Misuse Opioids (n = 27,187) |
||||
---|---|---|---|---|---|
n* | % (95% CI)† | n* | % (95% CI)† | P for Rao-Scott χ2 Test | |
Condomless sex with partner of negative or unknown HIV status while not durably virally suppressed‡ | |||||
Yes | 100 | 11.7 (9.2 to 14.1) | 900 | 3.4 (3.1 to 3.6) | <0.0001 |
Distributive syringe sharing§║ | |||||
Yes | 37 | 16.6 (10.8 to 22.4) | 31 | 9.3 (5.4 to 13.2) | 0.0245 |
Distributive sharing of other injection equipment (eg, cookers, cotton, or rinse water)§ | |||||
Yes | 54 | 21.2 (14.0 to 28.3) | 22 | 6.6 (3.6 to 9.6) | <0.0001 |
Division of shared drugs with a syringe§ | |||||
Yes | 75 | 30.9 (23.3 to 38.5) | 77 | 18.9 (14.6 to 23.3) | 0.0037 |
Received HIV or STD prevention counseling by an outreach worker, counselor, or prevention program worker | |||||
Yes | 405 | 38.3 (33.5 to 43.1) | 8829 | 31.6 (29.1 to 34.0) | 0.0002 |
Received HIV or STD prevention counseling by a health care provider | |||||
Yes | 522 | 50.7 (46.7 to 54.6) | 13,028 | 47.0 (44.3 to 49.7) | 0.0578 |
Numbers are unweighted.
Percentages and corresponding CIs are weighted percentages.
All viral load measurements documented undetectable or <200 copies/mL during the past 12 months.
Among respondents who injected opioids vs those who injected other drugs.
Respondent gave their used needle to someone else for use.
DISCUSSION
This analysis provides the first nationally representative estimate of opioid misuse among persons receiving HIV care in the United States. We found lower prescription opioid misuse compared with national estimates in the general population (2.3% vs 4.3%21) and other studies of persons receiving HIV care.15,22 There are several possible explanations for these differences, including differences in methodology and surveyed populations. A higher percentage of PLWH receiving medical care are black or Hispanic compared with the general population, and black or Hispanic patients are less likely to be prescribed opioids than white patients.23,24 Among studies focused on persons receiving HIV care, both had higher percentages of white participants and were not national in scope, and one specifically recruited from a higher risk population.15,22 In contrast to our findings of lower prescription opioid misuse, we found higher heroin use among persons receiving HIV care as compared to national general population estimates (1.2% vs 0.4%21). Persons receiving HIV medical care face increased socioeconomic challenges, and heroin may be more feasible for them to obtain than prescription opioids, given it is less expensive and widely available.21,25 Overall, our findings suggest that opioid use in this nationally representative survey of persons receiving HIV care is considerable, which has important implications for the provision of health care to this population and ongoing HIV transmission.
Over one-quarter of persons in HIV care who misused opioids reported injecting them and, of these, nearly half injected daily or weekly and the majority injected heroin. The short half-life of many opioids can lead to more frequent injections26 and an increased likelihood of syringe and equipment-sharing. Persons in HIV care who injected opioids were more than 3 times as likely to report distributive sharing of injection equipment and nearly twice as likely to report distributive syringe sharing compared with those who injected nonopioid drugs. Over half of those who injected opioids did not receive free sterile needles or free injection equipment. This is consistent with others’ findings that less than one-third of persons who inject drugs received all their syringes from sterile sources (ie, syringe services programs and pharmacies) and that distributive syringe sharing was more common among people who inject drugs who did not receive all their syringes from sterile sources than those who did.5
Over three-quarters of persons who misused opioids did not inject them. However, one-third of noninjection use was daily or weekly and those persons could be at high risk of transitioning to injection drug use. Preventing this transition is key to reducing HIV and hepatitis C virus transmission and other blood borne infections.5 A review of existing interventions to prevent injection initiation highlights the need for more research on effective strategies.27,28
Nearly three-quarters of persons who misused opioids reported using other drugs. The concurrent use of opioids and other drugs—particularly benzodiazepines, cocaine, and methamphetamine—has been linked to overdose and HIV transmission.29–32 We found relatively high use of these substances among persons who misused opioids, suggesting this population may be at increased risk of overdose deaths and transmitting HIV to sexual and injection drug partners. Receipt of drug and alcohol treatment was suboptimal; under one-third received such treatment and 8% reported an unmet need for treatment. Substance use referrals from HIV care providers might help to address this issue but reported levels of such referrals are relatively low, suggesting additional training or support may be needed.33 In addition, access to opioid use treatment programs is limited in many regions across the United States.34
Among persons receiving HIV care, young adults, males, and non-Hispanic whites disproportionately misused opioids, which is consistent with the epidemic among the general population.2,35 The prevalence of homelessness was almost 3 times as high among those who misused opioids as among those who did not. Evidence suggests that stable housing could facilitate decreases in substance use,36 increased viral suppression and ART adherence, and improvements in overall health.37 The Housing First approach reduces barriers to stable housing, including those presented by substance use,38 and may help reduce opioid misuse and prevent HIV transmission, particularly when coupled with harm reduction strategies.39 Persons in HIV care who misused opioids were more likely to report depression and unmet needs for mental health services compared with those who did not misuse opioids. Increased mental health screening and referrals by HIV care providers could help identify persons needing mental health services. Evidence suggests that long-term opioid use is associated with the onset of depression,40,41 thus counseling and treatment for opioid misuse may lead to improvements in mental health outcomes.
Among all persons who misused opioids, the prevalence of engaging in condomless sex with HIV-negative or unknown HIV status partners while not durably virally suppressed was more than 3 times that among those who did not misuse opioids. PLWH who take HIV medicine as prescribed and achieve and keep an undetectable viral load have effectively no risk of transmitting HIV to their HIV-negative sexual partners.42 Despite the relatively high prevalence of HIV transmission risk behaviors, only half of persons who misused opioids reported receiving HIV or STD prevention counseling by their health care providers, and this did not differ significantly from the counseling provided to persons who did not misuse opioids. Strategies for improving delivery of HIV/STD prevention counseling for persons who misuse opioids could include increasing the frequency of offering counseling and integrating counseling on both substance use and HIV/STDs.
Among those receiving HIV medical care, persons who misused opioids were less likely to be prescribed ART, be adherent to their ART medication, and have an undetectable viral load. ART use is associated with reductions in HIV-related morbidity and mortality and can prevent the sexual transmission of HIV.41 Despite guidelines to prescribe ART to all persons who are HIV positive,41 some providers are hesitant to prescribe ART to patients with HIV who misuse drugs over concerns of poor adherence.14 CDC’s high-impact prevention strategy identifies evidence-based interventions that facilitate significant improvements in viral suppression43 and is effective in helping HIV-positive substance users reduce transmission risks and increase levels of medication adherence.44 Substance use counseling and treatment could reduce drug use and behaviors associated with HIV transmission,45 but there is an absence of evidence-based interventions that show statistically significant improvements in HIV transmission risk behaviors, ART adherence, viral suppression, and drug use collectively.
CDC published the Guideline for Prescribing Opioids for Chronic Pain to improve opioid prescribing and pain management, and reduce opioid misuse, opioid use disorder, and overdose.46 Additional resources are provided free online at https://www.cdc.gov/drugoverdose/index.html and include tools and training on the application of the Guideline, information on prescription drug monitoring programs, and state-level data on promising strategies. In addition, the use of medication-assisted treatment for opioid use disorder among PLWH, such as buprenorphine–naloxone, has improved ART initiation, clinical outcomes, and quality of life.47 Studies have also investigated the feasibility of incorporating other medication-assisted treatment strategies into HIV clinic settings48 and provided evidence for the effectiveness of syringe services programs in reducing HIV transmission among people who inject drugs.5
This analysis is subject to limitations. Because these data represent persons who were receiving HIV medical care, they may not be generalizable to persons living with HIV who are not receiving regular medical care or are unaware of their HIV infection. Also, the focus of this analysis was on opioid misuse, thus our estimates do not reflect comprehensive estimates of all opioid use (licit and illicit) among PLWH in medical care. We provide a measure of ART adherence using a self-reported measure of past 3-day adherence. Although this measure may be less subject to recall bias, it may overestimate longer-term adherence. As MMP is cross-sectional, we cannot make causal inferences regarding the observed associations. As many measures were self-reported, social desirability and recall bias may have led to some degree of measurement error. We also could not assess regional differences in opioid misuse due to MMP’s sampling design. The prevalence of opioid misuse varies from region to region, and thus, state- and city-level analyses of MMP data may provide insight into regional differences.
CONCLUSIONS
Opioid misuse among PLWH in HIV medical care was associated with poorer health outcomes, lower use of prevention and treatment services, and higher risk of HIV transmission to sexual and injection drug using partners. Our findings suggest several strategies to address these challenges. We found substantial room for improvement in the delivery of substance use and mental health counseling and treatment and HIV/STD prevention counseling. We identified more homelessness, less access to and adherence to ART, and lower access to free needles and injection equipment; thus, improvements in these areas may reduce the risk of opioid misuse and HIV transmission. Implementation of CDC’s high-impact prevention strategies and opioid prescribing Guideline and recommendations for health care providers could also help improve health outcomes and reduce HIV transmission risk behaviors among PLWH who misuse opioids.
ACKNOWLEDGMENTS
The authors thank participating MMP providers, facilities, and project areas. The authors also acknowledge the contributions of the Clinical Outcomes Team and the Behavioral and Clinical Surveillance Branch at CDC and the MMP Project Area Group Members.
Funding for the Medical Monitoring Project is provided by a cooperative agreement (PS09-937) from the Centers for Disease Control and Prevention.
Footnotes
Presented in part at the Conference on Retroviruses and Opportunistic Infections; March 4–7, 2018; Boston, Massachusetts.
The authors have no funding or conflicts of interest to disclose.
The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.
REFERENCES
- 1.Seth P, Scholl L, Rudd R, et al. Overdose deaths involving opioids, cocaine, and psychostimulants—United States, 2015–2016. MMWR Morb Mortal Wkly Rep. 2018;67:349–358. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Rudd R, Seth P, David F, et al. Increases in drug and opioid-involved overdose deaths—United States, 2010–2015. MMWR Morb Mortal Wkly Rep. 2016;65:1445–1452. [DOI] [PubMed] [Google Scholar]
- 3.Muhuri PK, Gfroerer JC, Davies MC. Associations of Nonmedical Pain Reliever Use and Initiation of Heroin Use in the United States. Rockville, MD: SAMHSA; 2013. [Google Scholar]
- 4.Grau LE, Dasgupta N, Harvey AP, et al. Illicit use of opioids: is OxyContin a “gateway drug”? Am J Addict. 2007;16:166–173. [DOI] [PubMed] [Google Scholar]
- 5.Wejnert C, Hess KL, Hall HI, et al. Vital signs: trends in HIV diagnoses, risk behaviors, and prevention among persons who inject drugs—United States. MMWR Morb Mortal Wkly Rep. 2016;65:1336–1342. [DOI] [PubMed] [Google Scholar]
- 6.Friedman SR, Mateu-Gelabert P, Ruggles KV, et al. Sexual risk and transmission behaviors, partnerships and settings among young adult nonmedical opioid users in New York city. AIDS Behav. 2017;21:994–1003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Zule WA, Oramasionwu C, Evon D, et al. Event-level analyses of sex-risk and injection-risk behaviors among nonmedical prescription opioid users. Am J Drug Alcohol Abuse. 2016;42:689–697. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Buttram ME, Kurtz SP. Alternate routes of administration among prescription opioid misusers and associations with sexual HIV transmission risk behaviors. J Psychoactive Drugs. 2016;48:187–194. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Edelman EJ, Gordon K, Becker WC, et al. Receipt of opioid analgesics by HIV-infected and uninfected patients. J Gen Intern Med. 2013;28:82–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Becker WC, Gordon K, Jennifer Edelman E, et al. Trends in any and high-dose opioid analgesic receipt among aging patients with and without HIV. AIDS Behav. 2016;20:679–686. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Dobalian A, Tsao JC, Duncan RP. Pain and the use of outpatient services among persons with HIV: results from a nationally representative survey. Med Care 2004;42:129–138. [DOI] [PubMed] [Google Scholar]
- 12.Bing EG, Burnam MA, Longshore D, et al. Psychiatric disorders and drug use among human immunodeficiency virus-infected adults in the United States. Arch Gen Psychiatry 2001;58:721–728. [DOI] [PubMed] [Google Scholar]
- 13.Edlund MJ, Steffick D, Hudson T, et al. Risk factors for clinically recognized opioid abuse and dependence among veterans using opioids for chronic non-cancer pain. Pain 2007;129:355–362. [DOI] [PubMed] [Google Scholar]
- 14.Beer L, Valverde EE, Raiford JL, et al. Clinician perspectives on delaying initiation of antiretroviral therapy for clinically eligible HIV-infected patients. J Int Assoc Providers AIDS Care 2015;14:245–254. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Jeevanjee S, Penko J, Guzman D, et al. Opioid analgesic misuse is associated with incomplete antiretroviral adherence in a cohort of HIV-infected indigent adults in San Francisco. AIDS Behav. 2014;18:1352–1358. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.The Office of National AIDS Policy. National HIV/AIDS Strategy for the United States: Updated to 2020. Washington, DC: The White House; 2015. [Google Scholar]
- 17.Centers for Disease Control and Prevention. Behavioral and Clinical Characteristics of Persons Receiving Medical Care for HIV Infection—Medical Monitoring Project, United States, 2014 Cycle (June 2014–May 2015). HIV Surveillance Special Report 17. 2016. Available at: http://www.cdc.gov/hiv/library/reports/hiv-surveillance.html. Accessed June 23, 2017. [Google Scholar]
- 18.Centers for Disease Control and Prevention. Distinguishing Public Health Research and Public Health Nonresearch. Atlanta, GA: Centers for Disease Control and Prevention; 2010. Available at: https://www.cdc.gov/od/science/integrity/docs/cdc-policy-distinguishing-public-health-research-nonresearch.pdf. [Google Scholar]
- 19.Assistant secretary for planning and evaluation, U.S. Department of health and human services. Poverty Research. Available at: https://aspe.hhs.gov/poverty-research. Accessed February 23, 2018.
- 20.Kroenke K, Strine TW, Spitzer RL, et al. The PHQ-8 as a measure of current depression in the general population. J Affect Disord. 2009;114:163–173. [DOI] [PubMed] [Google Scholar]
- 21.Center for Behavioral Health Statistics and Quality. Results From the 2016 National Survey on Drug Use and Health: Detailed Tables. Rockville, MD: Substance Abuse and Mental Health Services Administration; 2017. [Google Scholar]
- 22.Turner AN, Maierhofer C, Funderburg NT, et al. High levels of self-reported prescription opioid use by HIV-positive individuals. AIDS Care. 2016;28:1559–1565. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Singhal A, Tien YY, Hsia RY. Racial-ethnic disparities in opioid prescriptions at emergency department visits for conditions commonly associated with prescription drug abuse. PLoS One. 2016;11:e0159224. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Pletcher MJ, Kertesz SG, Kohn MA, et al. Trends in opioid prescribing by race/ethnicity for patients seeking care in US emergency departments. JAMA. 2008;299:70–78. [DOI] [PubMed] [Google Scholar]
- 25.Cicero TJ, Ellis MS, Surratt HL, et al. The changing face of heroin use in the United States: a retrospective analysis of the past 50 years. JAMA Psychiatry 2014;71:821–826. [DOI] [PubMed] [Google Scholar]
- 26.Center for Substance Abuse Treatment. Medication-Assisted Treatment for Opioid Addiction in Opioid Treatment Programs. Rockville, MD: Substance Abuse and Mental Health Services Administration; 2005. [PubMed] [Google Scholar]
- 27.Werb D, Buxton J, Shoveller J, et al. Interventions to prevent the initiation of injection drug use: a systematic review. Drug Alcohol Depend. 2013;133:669–676. [DOI] [PubMed] [Google Scholar]
- 28.Werb D, Garfein R, Kerr T, et al. A socio-structural approach to preventing injection drug use initiation: rationale for the PRIMER study. Harm Reduct J. 2016;13:25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Weisberg DF, Gordon KS, Barry DT, et al. Long-term prescription of opioids and/or benzodiazepines and mortality among HIV-infected and uninfected patients. J Acquir Immune Defic Syndr. 2015;69:223–233. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Warner M, Trinidad JP, Bastian BA, et al. Drugs most frequently involved in drug overdose deaths: United States, 2010-2014. Natl Vital Stat Rep. 2016;65:1–15. [PubMed] [Google Scholar]
- 31.Roth AM, Armenta RA, Wagner KD, et al. Patterns of drug use, risky behavior, and health status among persons who inject drugs living in San Diego, California: a latent class analysis. Subst Use Misuse. 2015;50:205–214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Tavitian-Exley I, Boily MC, Heimer R, et al. Polydrug use and heterogeneity in HIV risk among people who inject drugs in Estonia and Russia: a latent class analysis. AIDS Behav. 2017;22:1329–1340. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Beer L, Weiser J, West BT, et al. Delivery of HIV transmission risk-reduction services by HIV care providers in the United States—2013. J Int Assoc Provid AIDS Care. 2015;15:494–504. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Abraham AJ, Andrews CM, Yingling ME, et al. Geographic disparities in availability of opioid use disorder treatment for Medicaid enrollees. Health Serv Res. 2018;53:389–404. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Rudd R, Aleshire N, Zibbell J, et al. Increases in drug and opioid overdose deaths—United States, 2000–2014. MMWR Morb Mortal Wkly Rep. 2016;64:1378–1382. [DOI] [PubMed] [Google Scholar]
- 36.Padgett DK, Stanhope V, Henwood BF, et al. Substance use outcomes among homeless clients with serious mental illness: comparing housing first with treatment first programs. Community Ment Health J. 2011;47:227–232. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Kidder DP, Wolitski RJ, Campsmith ML, et al. Health status, health care use, medication use, and medication adherence among homeless and housed people living with HIV/AIDS. Am J Public Health 2007;97:2238–2245. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.U.S. Interagency Council on Homelessness. Opening Doors: Federal Strategic Plan to Prevent and End Homelessness: As Amended in 2015.Washington, DC: United States Interagency Council on Homelessness; 2015. Availableat: https://www.usich.gov/resources/uploads/asset_library/USICH OpeningDoors_Amendment2015_FINAL.pdf. [Google Scholar]
- 39.Watson DP, Shuman V, Kowalsky J, et al. Housing first and harm reduction: a rapid review and document analysis of the US and Canadian open-access literature. Harm Reduct J. 2017;14:30. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Scherrer JF, Salas J, Copeland LA, et al. Prescription opioid duration, dose, and increased risk of depression in 3 large patient populations. Ann Fam Med. 2016;14:54–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Panel on Antiretroviral Guidelines for Adults and Adolescents. Guidelines for the Use of Antiretroviral Agents in HIV-1-Infected Adults and Adolescents. 2012. Available at: http://www.aidsinfo.nih.gov/ContentFiles/AdultandAdolescentGL.pdf. Accessed March 27, 2017.
- 42.Centers for Disease Control and Prevention. Evidence of HIV Treatment and Viral Suppression in Preventing the Sexual Transmission of HIV. 2017. Available at: https://www.cdc.gov/hiv/pdf/risk/art/cdc-hiv-art-viral-suppression.pdf. Accessed February 6, 2018.
- 43.Altice FL, Maru DS, Bruce RD, et al. Superiority of directly administered antiretroviral therapy over self-administered therapy among HIV-infected drug users: a prospective, randomized, controlled trial. Clin Infect Dis. 2007;45:770–778. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Johnson MO, Charlebois E, Morin SF, et al. Effects of a behavioral intervention on antiretroviral medication adherence among people living with HIV: the healthy living project randomized controlled study. J Acquir Immune Defic Syndr. 2007;46:574–580. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Campbell ANC, Tross S, Calsyn DA. Substance use disorders and HIV/AIDS prevention and treatment intervention: research and practice considerations. Soc Work Public Health. 2013;28:333–348. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Dowell D, Haegerich T, Chou R. CDC guideline for prescribing opioids for chronic pain—United States, 2016. MMWR Recomm Rep. 2016;65:1–49. [DOI] [PubMed] [Google Scholar]
- 47.Altice FL, Bruce RD, Lucas GM, et al. HIV treatment outcomes among HIV-infected, opioid-dependent patients receiving buprenorphine/naloxone treatment within HIV clinical care settings: results from a multisite study. J Acquir Immune Defic Syndr. 2011;56(suppl 1):S22–S32. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Korthuis PT, Lum PJ, Vergara-Rodriguez P, et al. Feasibility and safety of extended-release naltrexone treatment of opioid and alcohol use disorder in HIV clinics:a pilot/feasibility randomized trial. Addiction. 2017;112:1036–1044. [DOI] [PMC free article] [PubMed] [Google Scholar]