Abstract

Background

Women with human immunodeficiency virus (HIV; WWH) and with substance use (SU) have poorer HIV-related outcomes. We characterized SU and treatment across reproductive life stages among Study of Treatment And Reproductive Outcomes (STAR) participants.

Methods

The STAR is a prospective cohort of WWH and women without HIV (WWoH) across 6 Southern US sites. We analyzed baseline participant data (2021–2024) on self-reported past-year SU (nonmedical drug use, hazardous alcohol use, tobacco use, and nonmedical cannabis use), as well as drug and alcohol use treatment. We assessed SU and treatment by HIV and pregnancy status.

Results

Among 891 women (526 WWH and 362 WWoH), 12% (9% of WWH and 15% WWoH; P = .02) reported past-year drug use; 15%, hazardous alcohol use (11% and 20%, respectively; P < .001); 37%, tobacco use (34% and 41%; P = .10); and 45%, cannabis use (40% and 52%; P = .001). The most frequently used drug was crack/cocaine (61%). Among pregnant women, 7% reported past-year drug use, 12% hazardous alcohol use, 28% tobacco use, and 39% cannabis use. Among women with past-year drug use (n = 102), 16% reported experiencing accidental overdose, and 23% had used any drug treatment program in the past year. There was no statistically significant difference in drug treatment by HIV or pregnancy status.

Conclusions

Among reproductive-age WWH and WWoH in the Southern United States, SU was common, predominantly stimulant use with high rates of co-occurring cannabis and tobacco use. Implementation studies are needed to understand barriers and facilitators to integrating SU disorder care into HIV settings tailored to the needs of reproductive-age women.

Reproductive-age women with human immunodeficiency virus (HIV; WWH) are highly vulnerable to poor health outcomes [1, 2], and young racial or ethnic minority WWH are prone to worse HIV-related clinical outcomes and higher mortality rates than men, white women, or older women, but these outcomes vary across reproductive life stages [3, 4]. Furthermore, comorbid substance use (SU) disorders (SUDs) are also associated with worse HIV-related outcomes, including challenges with antiretroviral therapy (ART) adherence, poorer retention in care, and lower rates of viral suppression [5, 6]. In the United States, the HIV and SUD syndemic is prevalent among women, with SUDs diagnosed in 1 in 3 WWH [7, 8]

Drug overdose mortality rates in the United States increased during the coronavirus disease 2019 (COVID-19) pandemic, with a near-40% increase from February 2020 to August 2021, primarily driven by synthetic opioids (eg, fentanyl) and methamphetamines [9, 10]. These trends were also observed among pregnant and postpartum individuals from 2018 to 2021, with a 3-fold increase in drug overdose mortality among those aged 35–44 years [11, 12]. Strikingly, >15% of all pregnancy-associated deaths between 2017 and 2020 were attributed to drug overdose, characterized by increases in synthetic opioids and psychostimulants [12]. Some studies have found that SU patterns fluctuate across reproductive life stages. For example, one study observed decreases in SU during pregnancy and resumption during postpartum periods [13], and another noted overdose death risk to be highest during late postpartum periods [12]. For pregnant persons with SU or those parenting children, fear and mistrust of child welfare, health, and justice systems may lead to avoidance of such services due to anticipation of being stigmatized or fear of criminalization or loss of child custody, creating barriers to seeking SU care [14, 15].

Reproductive-age WWH in the United States are underrepresented in HIV research [16], and research at the intersection of HIV, SU, and pregnancy/postpartum status is limited. In a previous study of SU and treatment among women with or at risk for HIV in the Women's Interagency HIV Study (WIHS) cohort, we observed high rates of nonmedical drug use and higher-than-expected rates of drug treatment [17]. Among women in WIHS with past-year drug use, more than two-thirds reported crack/cocaine use and 40% reported opioid use, with high rates of concurrent tobacco (77%) and cannabis (52%) use [17]. However, the median age of the WIHS cohort was >50 years, so findings were not generalizable to reproductive-age women. Understanding contemporary patterns of SU and treatment across the reproductive life course, as well as by parenting status, may offer insight into opportunities to integrate SU care in women's health and/or HIV care settings. Here we leverage data from the Study of Treatment And Reproductive Outcomes (STAR) cohort—a prospective, observational cohort study of reproductive-age women with or without HIV in the Southern United States—to describe patterns of SU and treatment use across reproductive life stages.

METHODS

Study Population

The STAR is a longitudinal cohort study of cisgender women with or without HIV, aged 18–45 years, and enrolled in 6 Southern sites (Atlanta, Georgia; Birmingham, Alabama; Jackson, Mississippi; Chapel Hill, North Carolina; Miami, Florida; Washington, District of Columbia; Supplementary Figure 1) [18]. Women without HIV (WWoH) were recruited if they were HIV seronegative but at risk for HIV infection, based on reported high-risk exposures such as sexual or SU-related behaviors in the past 5 years, listed in Supplementary Table 1. Additional details on recruitment are described in the study protocol [18].

STAR enrollment began in March 2021 and is ongoing. Data are collected through structured interviews with questionnaires, physical examination, biological specimens, and medical record abstraction. For this study, we included baseline data from participants from all sites enrolled between March 2021 and April 2024.

Patient Consent Statement

The STAR protocol was approved by the STAR single institutional review board at the University of Miami (sIRB no. 20190953), which provides regulatory oversight over all study sites. Informed consent was obtained from all participants in English or Spanish.

Definitions

Pregnancy Status

Pregnancy status was determined at time of enrollment as laboratory-confirmed pregnancy. Postpartum status was defined as reporting a pregnancy within the past year. Nulliparous indicated those who had never had a pregnancy resulting in a birth, and participants who were neither pregnant nor postpartum were those who were parous but had not had a pregnancy outcome in >1 year.

SU and Treatment

We referred to SU collectively as the use of tobacco, hazardous alcohol use, nonmedical cannabis use, or nonmedical use of drugs. Nonmedical drug use (“drug use”) was the primary outcome of this study and was defined as self-reported, nonmedical use of drugs other than cannabis in the past year, including crack or cocaine, methamphetamines, other stimulants (including other amphetamines, speedball), opioids (including heroin and speedball), sedatives (eg, barbiturates, benzodiazepines), and other drugs (“club drugs” [hallucinogens, inhalants, psychedelics, ketamine, phencyclidine (PCP)] or other drugs). Participants were not asked specifically about misuse of prescription opioids or synthetic opioids, such as fentanyl. Cannabis use (marijuana or hash) was categorized separately from drug use because its legal use varies by state and because prior studies of its use have not consistently demonstrated an association with worse HIV-related outcomes, in contrast to other drugs [19, 20]. Tobacco (cigarettes, e-cigarettes, and vaping), hazardous alcohol use, and cannabis use were secondary outcomes. Hazardous alcohol use was defined as an Alcohol Use Disorders Identification Test (AUDIT) score of ≥8. Participants were asked about their history of accidental overdose.

Drug treatment and alcohol treatment use were assessed as any past-year treatment use among those who reported past-year drug use or hazardous alcohol use, respectively. We secondarily assessed treatment in the entire cohort, as some individuals in recovery, who have not had past-year drug use, may still use treatment. Drug treatment programs included self-reported use of inpatient or outpatient drug detoxification programs, halfway house, Narcotics Anonymous, prison/jail-based treatment programs, or medications for opioid use disorder (methadone, naltrexone, or buprenorphine-naloxone). Alcohol treatment programs included inpatient and outpatient alcohol treatment programs, halfway houses, Alcoholics Anonymous, and other treatment programs. Tobacco use treatment was not assessed in questionnaires. Other than receipt of naloxone for accidental overdose and preexposure prophylaxis for HIV prevention, harm reduction strategies were not assessed in the questionnaires. Seeing a psychiatrist or counselor was also assessed as a form of SU care, but this was assessed separately from the drug treatment use outcome.

Other Covariates

The demographic, sociobehavioral, and clinical variables described (along with definitions) are shown in Table 1.

Table 1.

Demographic, Sociobehavioral, and Clinical Characteristics Among Women in the Study of Treatment And Reproductive Outcomes (STAR) at Baseline, by HIV Status (2021–2024)

CharacteristicParticipants, No. (%)aP Valueb
Total (n = 891)WWH (n = 526)WWoH (n = 365)
Demographics
 Age, median (IQR), y35.5 (29.1–40.7)37.3 (31.4–41.6)31.7 (25.8–38.7)<.001c
 Race
  Non-Hispanic black657 (73.9)420 (80.0)237 (65.1)<.001c
  Non-Hispanic white94 (10.6)42 (8.0)52 (14.3)
  Hispanic96 (10.8)44 (8.4)52 (14.3)
  Other42 (4.7)19 (3.6)23 (6.3)
  Missing211
 STAR region
  DC77 (8.6)32 (6.1)45 (12.3)<.001c
  UNC90 (10.1)46 (8.7)44 (12.1)
  Atlanta231 (25.9)144 (27.4)87 (23.8)
  Miami226 (25.4)128 (24.3)98 (26.9)
  UAB179 (20.1)126 (24.0)53 (14.5)
  MS88 (9.9)50 (9.5)38 (10.4)
 Pregnancy status
  Nulliparous192 (21.6)72 (13.7)120 (33.0)<.001c
  Pregnant98 (11.0)65 (12.4)33 (9.1)
  Postpartum (up to 1 y)62 (7.0)37 (7.1)25 (6.9)
  Parous but notpregnant or postpartum (>1 y)536 (60.4)350 (66.8)186 (51.1)
  Missing321
 Takes care of children (aged ≤18 y) in the home
  No386 (43.5)208 (39.8)178 (48.9).007c
  Yes501 (56.5)315 (60.2)186 (51.1)
  Missing431
 No. of children cared for in home
  0386 (43.5)208 (39.8)178 (48.9).004c
  1195 (22.0)135 (25.8)60 (16.5)
  2150 (16.9)92 (17.6)58 (15.9)
  ≥3156 (17.6)88 (16.8)68 (18.7)
  Missing431
 Marital status
  Married/partnered246 (27.6)162 (30.9)84 (23.0)<.001c
  Divorced/widowed/separated140 (15.7)98 (18.7)42 (11.5)
  Never married/other504 (56.6)265 (50.5)239 (65.5)
  Missing110
 Highest level of education
  High school or less484 (54.4)319 (60.8)165 (45.2)<.001c
  More than high school406 (45.6)206 (39.2)200 (54.8)
  Missing110
 Employed (full or part time)
  No444 (49.9)272 (51.9)172 (47.1).16
  Yes445 (50.1)252 (48.1)193 (52.9)
  Missing220
 Annual household annual income
  ≤$24 000373 (44.4)193 (38.8)180 (52.3)<.001c
  >$24 000468 (55.7)304 (61.2)164 (47.7)
  Missing502921
 Housing statusd
  Stably housed565 (63.5)343 (65.3)222 (60.8).30
  Dependently housed260 (29.2)143 (27.2)117 (32.1)
  Unstably housed65 (7.3)39 (7.4)26 (7.1)
  Missing110
 Health insurancee
  No114 (12.9)20 (3.8)94 (26.0)<.001c
  Yes771 (87.1)503 (96.2)268 (74.0)
  Missing633
 Ever jailed/incarcerated
  No593 (66.7)343 (65.3)250 (68.7).30
  Yes296 (33.3)182 (34.7)114 (31.3)
  Missing211
 Had sex for drugs, money, or shelter in past 5 y.21
  No795 (90.7)474 (91.7)321 (89.2)
  Yes82 (9.3)43 (8.3)39 (10.8)
  Missing1495
 Depressive symptomsf
  No559 (63.5)324 (62.1)235 (65.6).28
  Yes321 (36.5)198 (37.9)123 (34.4)
  Missing1147
Substance use
 Hazardous alcohol use in past yearg
  No735 (85.1)455 (88.7)280 (79.8)<.001c
  Yes129 (14.9)58 (11.3)71 (20.2)
  Missing271314
 Tobacco use (cigarettes, e-cigarettes, vaping)
  No, never445 (50.4)276 (52.9)169 (46.8)
  Yes, but not in past year113 (12.8)69 (13.2)44 (12.2)
  Yes, in past year325 (36.8)177 (33.9)148 (41.0)
  Missing844.10
 Cannabis use.001c
  No, never266 (30.1)179 (34.3)87 (24.1)
  Yes, but not in past year222 (25.1)134 (25.7)88 (24.4)
  Yes, in past year395 (44.7)209 (40.0)186 (51.5)
  Missing844
 Injection of drugs in past year
  No874 (99.1)515 (98.9)359 (99.5).36
  Yes8 (0.9)6 (1.1)2 (0.6)
  Missing954
 Nonmedical drug use (excluding cannabis only)
  Yes, but not in past year781 (88.5)473 (90.6)308 (85.3).02c
  Yes, in past year102 (11.6)49 (9.4)53 (14.7)
  Missing844
Healthcare use
 Healthcare provider seen in past year
  No84 (9.5)20 (3.8)64 (17.7)<.001c
  Yes801 (90.5)503 (96.2)298 (82.3)
  Missing633
 Psychiatrist or counselor seen in past year
  No490 (61.1)317 (62.9)173 (58.1).17
  Yes312 (38.9)187 (37.1)125 (41.9)
  Missing892267
Clinical outcomes
 HIV care in past yearh
  No19 (3.7)
  Yes502 (96.4)
  Missing5
 Currently taking ARTh
  No9 (1.7)
  Yes517 (98.3)
  Missing0
 CD4+ cell count >200/µLh
  No38 (8.0)
  Yes436 (92.0)
  Missing52
 Viral suppression (HIV RNA <200 copies/mL)h
  No68 (15.9)
  Yes361 (84.1)
  Missing97
CharacteristicParticipants, No. (%)aP Valueb
Total (n = 891)WWH (n = 526)WWoH (n = 365)
Demographics
 Age, median (IQR), y35.5 (29.1–40.7)37.3 (31.4–41.6)31.7 (25.8–38.7)<.001c
 Race
  Non-Hispanic black657 (73.9)420 (80.0)237 (65.1)<.001c
  Non-Hispanic white94 (10.6)42 (8.0)52 (14.3)
  Hispanic96 (10.8)44 (8.4)52 (14.3)
  Other42 (4.7)19 (3.6)23 (6.3)
  Missing211
 STAR region
  DC77 (8.6)32 (6.1)45 (12.3)<.001c
  UNC90 (10.1)46 (8.7)44 (12.1)
  Atlanta231 (25.9)144 (27.4)87 (23.8)
  Miami226 (25.4)128 (24.3)98 (26.9)
  UAB179 (20.1)126 (24.0)53 (14.5)
  MS88 (9.9)50 (9.5)38 (10.4)
 Pregnancy status
  Nulliparous192 (21.6)72 (13.7)120 (33.0)<.001c
  Pregnant98 (11.0)65 (12.4)33 (9.1)
  Postpartum (up to 1 y)62 (7.0)37 (7.1)25 (6.9)
  Parous but notpregnant or postpartum (>1 y)536 (60.4)350 (66.8)186 (51.1)
  Missing321
 Takes care of children (aged ≤18 y) in the home
  No386 (43.5)208 (39.8)178 (48.9).007c
  Yes501 (56.5)315 (60.2)186 (51.1)
  Missing431
 No. of children cared for in home
  0386 (43.5)208 (39.8)178 (48.9).004c
  1195 (22.0)135 (25.8)60 (16.5)
  2150 (16.9)92 (17.6)58 (15.9)
  ≥3156 (17.6)88 (16.8)68 (18.7)
  Missing431
 Marital status
  Married/partnered246 (27.6)162 (30.9)84 (23.0)<.001c
  Divorced/widowed/separated140 (15.7)98 (18.7)42 (11.5)
  Never married/other504 (56.6)265 (50.5)239 (65.5)
  Missing110
 Highest level of education
  High school or less484 (54.4)319 (60.8)165 (45.2)<.001c
  More than high school406 (45.6)206 (39.2)200 (54.8)
  Missing110
 Employed (full or part time)
  No444 (49.9)272 (51.9)172 (47.1).16
  Yes445 (50.1)252 (48.1)193 (52.9)
  Missing220
 Annual household annual income
  ≤$24 000373 (44.4)193 (38.8)180 (52.3)<.001c
  >$24 000468 (55.7)304 (61.2)164 (47.7)
  Missing502921
 Housing statusd
  Stably housed565 (63.5)343 (65.3)222 (60.8).30
  Dependently housed260 (29.2)143 (27.2)117 (32.1)
  Unstably housed65 (7.3)39 (7.4)26 (7.1)
  Missing110
 Health insurancee
  No114 (12.9)20 (3.8)94 (26.0)<.001c
  Yes771 (87.1)503 (96.2)268 (74.0)
  Missing633
 Ever jailed/incarcerated
  No593 (66.7)343 (65.3)250 (68.7).30
  Yes296 (33.3)182 (34.7)114 (31.3)
  Missing211
 Had sex for drugs, money, or shelter in past 5 y.21
  No795 (90.7)474 (91.7)321 (89.2)
  Yes82 (9.3)43 (8.3)39 (10.8)
  Missing1495
 Depressive symptomsf
  No559 (63.5)324 (62.1)235 (65.6).28
  Yes321 (36.5)198 (37.9)123 (34.4)
  Missing1147
Substance use
 Hazardous alcohol use in past yearg
  No735 (85.1)455 (88.7)280 (79.8)<.001c
  Yes129 (14.9)58 (11.3)71 (20.2)
  Missing271314
 Tobacco use (cigarettes, e-cigarettes, vaping)
  No, never445 (50.4)276 (52.9)169 (46.8)
  Yes, but not in past year113 (12.8)69 (13.2)44 (12.2)
  Yes, in past year325 (36.8)177 (33.9)148 (41.0)
  Missing844.10
 Cannabis use.001c
  No, never266 (30.1)179 (34.3)87 (24.1)
  Yes, but not in past year222 (25.1)134 (25.7)88 (24.4)
  Yes, in past year395 (44.7)209 (40.0)186 (51.5)
  Missing844
 Injection of drugs in past year
  No874 (99.1)515 (98.9)359 (99.5).36
  Yes8 (0.9)6 (1.1)2 (0.6)
  Missing954
 Nonmedical drug use (excluding cannabis only)
  Yes, but not in past year781 (88.5)473 (90.6)308 (85.3).02c
  Yes, in past year102 (11.6)49 (9.4)53 (14.7)
  Missing844
Healthcare use
 Healthcare provider seen in past year
  No84 (9.5)20 (3.8)64 (17.7)<.001c
  Yes801 (90.5)503 (96.2)298 (82.3)
  Missing633
 Psychiatrist or counselor seen in past year
  No490 (61.1)317 (62.9)173 (58.1).17
  Yes312 (38.9)187 (37.1)125 (41.9)
  Missing892267
Clinical outcomes
 HIV care in past yearh
  No19 (3.7)
  Yes502 (96.4)
  Missing5
 Currently taking ARTh
  No9 (1.7)
  Yes517 (98.3)
  Missing0
 CD4+ cell count >200/µLh
  No38 (8.0)
  Yes436 (92.0)
  Missing52
 Viral suppression (HIV RNA <200 copies/mL)h
  No68 (15.9)
  Yes361 (84.1)
  Missing97

Abbreviations: ART, antiretroviral therapy; DC, District of Columbia; HIV, human immunodeficiency virus; IQR, interquartile range; MS, University of Mississippi; STAR, Study of Treatment And Reproductive Outcomes; UAB, University of Alabama at Birmingham; UNC, University of North Carolina; WWH, women with HIV; WWoH, women without HIV.

aData represent no. (%) of STAR participants unless otherwise specified. Percentages are column percentages unless otherwise noted and may not total 100 due to rounding.

bP values based on χ2 or Fisher exact tests for categorical variables and Wilcoxon rank sum tests for continuous variables.

cSignificant at P < .05.

dIncluding health insurance, the AIDS Drug Assistance Program, and the Ryan White Program.

eParticipants living in their own house or apartment were considered stably housed; those living on the street or beach or in a rooming/halfway house, shelter/welfare hotel, jail/other correctional facility, residential drug/alcohol treatment facility, car, assisted living, or other unstable setting were considered unstably housed; and those living in their parent's house or in someone else's house were considered dependently housed.

fDefined as Center for Epidemiologic Studies–Depression (CESD) score ≥16.

gDefined as Alcohol Use Disorders Identification Test (AUDIT) score ≥8.

hAmong women with HIV only (n = 526).

Table 1.

Demographic, Sociobehavioral, and Clinical Characteristics Among Women in the Study of Treatment And Reproductive Outcomes (STAR) at Baseline, by HIV Status (2021–2024)

CharacteristicParticipants, No. (%)aP Valueb
Total (n = 891)WWH (n = 526)WWoH (n = 365)
Demographics
 Age, median (IQR), y35.5 (29.1–40.7)37.3 (31.4–41.6)31.7 (25.8–38.7)<.001c
 Race
  Non-Hispanic black657 (73.9)420 (80.0)237 (65.1)<.001c
  Non-Hispanic white94 (10.6)42 (8.0)52 (14.3)
  Hispanic96 (10.8)44 (8.4)52 (14.3)
  Other42 (4.7)19 (3.6)23 (6.3)
  Missing211
 STAR region
  DC77 (8.6)32 (6.1)45 (12.3)<.001c
  UNC90 (10.1)46 (8.7)44 (12.1)
  Atlanta231 (25.9)144 (27.4)87 (23.8)
  Miami226 (25.4)128 (24.3)98 (26.9)
  UAB179 (20.1)126 (24.0)53 (14.5)
  MS88 (9.9)50 (9.5)38 (10.4)
 Pregnancy status
  Nulliparous192 (21.6)72 (13.7)120 (33.0)<.001c
  Pregnant98 (11.0)65 (12.4)33 (9.1)
  Postpartum (up to 1 y)62 (7.0)37 (7.1)25 (6.9)
  Parous but notpregnant or postpartum (>1 y)536 (60.4)350 (66.8)186 (51.1)
  Missing321
 Takes care of children (aged ≤18 y) in the home
  No386 (43.5)208 (39.8)178 (48.9).007c
  Yes501 (56.5)315 (60.2)186 (51.1)
  Missing431
 No. of children cared for in home
  0386 (43.5)208 (39.8)178 (48.9).004c
  1195 (22.0)135 (25.8)60 (16.5)
  2150 (16.9)92 (17.6)58 (15.9)
  ≥3156 (17.6)88 (16.8)68 (18.7)
  Missing431
 Marital status
  Married/partnered246 (27.6)162 (30.9)84 (23.0)<.001c
  Divorced/widowed/separated140 (15.7)98 (18.7)42 (11.5)
  Never married/other504 (56.6)265 (50.5)239 (65.5)
  Missing110
 Highest level of education
  High school or less484 (54.4)319 (60.8)165 (45.2)<.001c
  More than high school406 (45.6)206 (39.2)200 (54.8)
  Missing110
 Employed (full or part time)
  No444 (49.9)272 (51.9)172 (47.1).16
  Yes445 (50.1)252 (48.1)193 (52.9)
  Missing220
 Annual household annual income
  ≤$24 000373 (44.4)193 (38.8)180 (52.3)<.001c
  >$24 000468 (55.7)304 (61.2)164 (47.7)
  Missing502921
 Housing statusd
  Stably housed565 (63.5)343 (65.3)222 (60.8).30
  Dependently housed260 (29.2)143 (27.2)117 (32.1)
  Unstably housed65 (7.3)39 (7.4)26 (7.1)
  Missing110
 Health insurancee
  No114 (12.9)20 (3.8)94 (26.0)<.001c
  Yes771 (87.1)503 (96.2)268 (74.0)
  Missing633
 Ever jailed/incarcerated
  No593 (66.7)343 (65.3)250 (68.7).30
  Yes296 (33.3)182 (34.7)114 (31.3)
  Missing211
 Had sex for drugs, money, or shelter in past 5 y.21
  No795 (90.7)474 (91.7)321 (89.2)
  Yes82 (9.3)43 (8.3)39 (10.8)
  Missing1495
 Depressive symptomsf
  No559 (63.5)324 (62.1)235 (65.6).28
  Yes321 (36.5)198 (37.9)123 (34.4)
  Missing1147
Substance use
 Hazardous alcohol use in past yearg
  No735 (85.1)455 (88.7)280 (79.8)<.001c
  Yes129 (14.9)58 (11.3)71 (20.2)
  Missing271314
 Tobacco use (cigarettes, e-cigarettes, vaping)
  No, never445 (50.4)276 (52.9)169 (46.8)
  Yes, but not in past year113 (12.8)69 (13.2)44 (12.2)
  Yes, in past year325 (36.8)177 (33.9)148 (41.0)
  Missing844.10
 Cannabis use.001c
  No, never266 (30.1)179 (34.3)87 (24.1)
  Yes, but not in past year222 (25.1)134 (25.7)88 (24.4)
  Yes, in past year395 (44.7)209 (40.0)186 (51.5)
  Missing844
 Injection of drugs in past year
  No874 (99.1)515 (98.9)359 (99.5).36
  Yes8 (0.9)6 (1.1)2 (0.6)
  Missing954
 Nonmedical drug use (excluding cannabis only)
  Yes, but not in past year781 (88.5)473 (90.6)308 (85.3).02c
  Yes, in past year102 (11.6)49 (9.4)53 (14.7)
  Missing844
Healthcare use
 Healthcare provider seen in past year
  No84 (9.5)20 (3.8)64 (17.7)<.001c
  Yes801 (90.5)503 (96.2)298 (82.3)
  Missing633
 Psychiatrist or counselor seen in past year
  No490 (61.1)317 (62.9)173 (58.1).17
  Yes312 (38.9)187 (37.1)125 (41.9)
  Missing892267
Clinical outcomes
 HIV care in past yearh
  No19 (3.7)
  Yes502 (96.4)
  Missing5
 Currently taking ARTh
  No9 (1.7)
  Yes517 (98.3)
  Missing0
 CD4+ cell count >200/µLh
  No38 (8.0)
  Yes436 (92.0)
  Missing52
 Viral suppression (HIV RNA <200 copies/mL)h
  No68 (15.9)
  Yes361 (84.1)
  Missing97
CharacteristicParticipants, No. (%)aP Valueb
Total (n = 891)WWH (n = 526)WWoH (n = 365)
Demographics
 Age, median (IQR), y35.5 (29.1–40.7)37.3 (31.4–41.6)31.7 (25.8–38.7)<.001c
 Race
  Non-Hispanic black657 (73.9)420 (80.0)237 (65.1)<.001c
  Non-Hispanic white94 (10.6)42 (8.0)52 (14.3)
  Hispanic96 (10.8)44 (8.4)52 (14.3)
  Other42 (4.7)19 (3.6)23 (6.3)
  Missing211
 STAR region
  DC77 (8.6)32 (6.1)45 (12.3)<.001c
  UNC90 (10.1)46 (8.7)44 (12.1)
  Atlanta231 (25.9)144 (27.4)87 (23.8)
  Miami226 (25.4)128 (24.3)98 (26.9)
  UAB179 (20.1)126 (24.0)53 (14.5)
  MS88 (9.9)50 (9.5)38 (10.4)
 Pregnancy status
  Nulliparous192 (21.6)72 (13.7)120 (33.0)<.001c
  Pregnant98 (11.0)65 (12.4)33 (9.1)
  Postpartum (up to 1 y)62 (7.0)37 (7.1)25 (6.9)
  Parous but notpregnant or postpartum (>1 y)536 (60.4)350 (66.8)186 (51.1)
  Missing321
 Takes care of children (aged ≤18 y) in the home
  No386 (43.5)208 (39.8)178 (48.9).007c
  Yes501 (56.5)315 (60.2)186 (51.1)
  Missing431
 No. of children cared for in home
  0386 (43.5)208 (39.8)178 (48.9).004c
  1195 (22.0)135 (25.8)60 (16.5)
  2150 (16.9)92 (17.6)58 (15.9)
  ≥3156 (17.6)88 (16.8)68 (18.7)
  Missing431
 Marital status
  Married/partnered246 (27.6)162 (30.9)84 (23.0)<.001c
  Divorced/widowed/separated140 (15.7)98 (18.7)42 (11.5)
  Never married/other504 (56.6)265 (50.5)239 (65.5)
  Missing110
 Highest level of education
  High school or less484 (54.4)319 (60.8)165 (45.2)<.001c
  More than high school406 (45.6)206 (39.2)200 (54.8)
  Missing110
 Employed (full or part time)
  No444 (49.9)272 (51.9)172 (47.1).16
  Yes445 (50.1)252 (48.1)193 (52.9)
  Missing220
 Annual household annual income
  ≤$24 000373 (44.4)193 (38.8)180 (52.3)<.001c
  >$24 000468 (55.7)304 (61.2)164 (47.7)
  Missing502921
 Housing statusd
  Stably housed565 (63.5)343 (65.3)222 (60.8).30
  Dependently housed260 (29.2)143 (27.2)117 (32.1)
  Unstably housed65 (7.3)39 (7.4)26 (7.1)
  Missing110
 Health insurancee
  No114 (12.9)20 (3.8)94 (26.0)<.001c
  Yes771 (87.1)503 (96.2)268 (74.0)
  Missing633
 Ever jailed/incarcerated
  No593 (66.7)343 (65.3)250 (68.7).30
  Yes296 (33.3)182 (34.7)114 (31.3)
  Missing211
 Had sex for drugs, money, or shelter in past 5 y.21
  No795 (90.7)474 (91.7)321 (89.2)
  Yes82 (9.3)43 (8.3)39 (10.8)
  Missing1495
 Depressive symptomsf
  No559 (63.5)324 (62.1)235 (65.6).28
  Yes321 (36.5)198 (37.9)123 (34.4)
  Missing1147
Substance use
 Hazardous alcohol use in past yearg
  No735 (85.1)455 (88.7)280 (79.8)<.001c
  Yes129 (14.9)58 (11.3)71 (20.2)
  Missing271314
 Tobacco use (cigarettes, e-cigarettes, vaping)
  No, never445 (50.4)276 (52.9)169 (46.8)
  Yes, but not in past year113 (12.8)69 (13.2)44 (12.2)
  Yes, in past year325 (36.8)177 (33.9)148 (41.0)
  Missing844.10
 Cannabis use.001c
  No, never266 (30.1)179 (34.3)87 (24.1)
  Yes, but not in past year222 (25.1)134 (25.7)88 (24.4)
  Yes, in past year395 (44.7)209 (40.0)186 (51.5)
  Missing844
 Injection of drugs in past year
  No874 (99.1)515 (98.9)359 (99.5).36
  Yes8 (0.9)6 (1.1)2 (0.6)
  Missing954
 Nonmedical drug use (excluding cannabis only)
  Yes, but not in past year781 (88.5)473 (90.6)308 (85.3).02c
  Yes, in past year102 (11.6)49 (9.4)53 (14.7)
  Missing844
Healthcare use
 Healthcare provider seen in past year
  No84 (9.5)20 (3.8)64 (17.7)<.001c
  Yes801 (90.5)503 (96.2)298 (82.3)
  Missing633
 Psychiatrist or counselor seen in past year
  No490 (61.1)317 (62.9)173 (58.1).17
  Yes312 (38.9)187 (37.1)125 (41.9)
  Missing892267
Clinical outcomes
 HIV care in past yearh
  No19 (3.7)
  Yes502 (96.4)
  Missing5
 Currently taking ARTh
  No9 (1.7)
  Yes517 (98.3)
  Missing0
 CD4+ cell count >200/µLh
  No38 (8.0)
  Yes436 (92.0)
  Missing52
 Viral suppression (HIV RNA <200 copies/mL)h
  No68 (15.9)
  Yes361 (84.1)
  Missing97

Abbreviations: ART, antiretroviral therapy; DC, District of Columbia; HIV, human immunodeficiency virus; IQR, interquartile range; MS, University of Mississippi; STAR, Study of Treatment And Reproductive Outcomes; UAB, University of Alabama at Birmingham; UNC, University of North Carolina; WWH, women with HIV; WWoH, women without HIV.

aData represent no. (%) of STAR participants unless otherwise specified. Percentages are column percentages unless otherwise noted and may not total 100 due to rounding.

bP values based on χ2 or Fisher exact tests for categorical variables and Wilcoxon rank sum tests for continuous variables.

cSignificant at P < .05.

dIncluding health insurance, the AIDS Drug Assistance Program, and the Ryan White Program.

eParticipants living in their own house or apartment were considered stably housed; those living on the street or beach or in a rooming/halfway house, shelter/welfare hotel, jail/other correctional facility, residential drug/alcohol treatment facility, car, assisted living, or other unstable setting were considered unstably housed; and those living in their parent's house or in someone else's house were considered dependently housed.

fDefined as Center for Epidemiologic Studies–Depression (CESD) score ≥16.

gDefined as Alcohol Use Disorders Identification Test (AUDIT) score ≥8.

hAmong women with HIV only (n = 526).

Statistical Analysis

This was a descriptive study of cross-sectional data from STAR participants. We described baseline characteristics by HIV serostatus using count (percentage) and median (quartiles 1–3) for categorical and continuous characteristics, respectively. We assessed the association between these characteristics and HIV status, using χ2 or Fisher exact tests for categorical variables and Wilcoxon rank sum test for continuous variables. We repeated this approach to examine participant characteristics by illicit drug use, and again by drug use treatment. We used descriptive statistics to assess the prevalence of SU by pregnancy status. We described drug treatment program and alcohol treatment program use by pregnancy status, among STAR participants reporting past-year drug use or hazardous alcohol use, respectively. We also reported patterns of drug use by frequency of use. Finally, we described drug treatment program use by use of stimulants, opioids, or both.

RESULTS

Baseline Demographic Characteristics

Our study included 891 women (526 WWH and 365 WWoH). The median age was 36 years (interquartile range, 29–41 years); 73.9% self-identified as non-Hispanic black, 21.6% were nulliparous, 11.0% pregnant, 7.0% postpartum, 60.4% parous but not pregnant or postpartum; and 56.5% reported parenting ≥1 child in their household. Nearly half had an annual income ≤$24 000/year (44.4%) or were unemployed (49.9%), 36.5% were dependently or unstably housed, 33.3% reported a history of incarceration, and 36.5% reported depressive symptoms. Among WWH, 96.4% were engaged in HIV care in the past year, 98.3% taking ART, 92.0% had CD4+ cell counts >200/µL, and 84.1% were virologically suppressed (Table 1).

Patterns of SU

Overall and by HIV Serostatus

Among STAR participants, 11.6% reported drug use (9.4% for WWH and 14.7% for WWoH; P = .02); 14.9%, hazardous alcohol use (11.3% and 20.2%, respectively; P < .001); 36.8%, tobacco use (33.9% and 41.0%; P = .10); and 44.7%, cannabis use (40.0% and 51.5%; P = .001) in the past year. Fewer than 1% reported past-year injection drug use.

Among 102 women with past-year drug use, the most frequently reported drug was crack/cocaine (60.8%), followed by sedatives (27.5%), methamphetamines (13.7%), and opioids 6.9% (Figure 1). Drugs in the “other drug use” category were also prevalent (29.4%); these were predominantly those considered club drugs, such as methylenedioxymethamphetamine (MDMA, or “ecstasy”), PCP, ketamine, and lysergic acid diethylamide (LSD, or “acid”). There were high rates of use of drugs along with other substances, including tobacco (76.5%), cannabis (62.8%), and hazardous alcohol use (39.2%).

Alt text: A bar chart titled “Types of substances used among women with past-year drug use (n = 102), by human immunodeficiency virus (HIV) serostatus.” The x-axis lists different substance categories, and the y-axis represents the percentage of women using each substance. The chart compares 3 groups: the total sample, women with HIV, and women without HIV, represented by different shades of brown. Statistically significant differences by HIV serostatus are marked with an asterisk.
Figure 1.

Types of substances used among women with past-year drug use (n = 102), by human immunodeficiency virus (HIV) serostatus. The “other drugs” category includes “club drugs” (phencyclidine [PCP], angel dust, psychedelics, hallucinogens, dimethyltryptamine, mescaline, and ketamine), as well any other drugs reported. *P < .05 (statistically significant difference by HIV serostatus).

The frequency of drug use by drug type is shown in Supplementary Figure 2. Frequency of use was distributed relatively evenly for crack/cocaine use (n = 62), while most of those who used sedatives (n = 28) or club drugs (n = 15) used less than once weekly. In contrast, approximately half of those using methamphetamines, opioids, or cannabis reported using at least once daily.

SUs by Pregnancy Status

Among women reporting past-year drug use, 29 (28.4%) were nulliparous, 7 (6.9%) were pregnant, 2 (2.0%) were postpartum, and 64 (62.7%) were parous but neither pregnant nor postpartum; 34.3% reported taking care of children in their household. Among pregnant women who responded to SU questions (n = 97), 7.2% reported drug use, 12.4% hazardous alcohol use, 27.8% tobacco use, and 39.2% cannabis use in the past year. The remainder of SU patterns across the reproductive life stages are shown in Figure 2A among all STAR participants, and Figure 2B details substance types among those with past-year drug use. Across all categories of substances, prevalence was lowest among postpartum women and highest for those who were parous but neither pregnant nor postpartum. Cannabis use was the most prevalent substance used across all reproductive life stages, followed by tobacco use, and prevalence was especially high for women who were parous but neither pregnant nor postpartum, for whom cannabis and tobacco use each exceeded 40%.

Alt text: Two-panel figure titled “Patterns of types of substances across reproductive life stages among all Study of Treatment And Reproductive Outcomes (STAR) participants (n = 887; A) and among those with past-year drug use (n = 102; panel B).” Panel A is a combination bar and line chart displaying substance use across 4 reproductive life stages: nulliparous, pregnant, postpartum, and parous but not pregnant or postpartum. Bars represent absolute number of participants using substance, and lines show percentages. Panel B is a bar chart showing the absolute number of participants using specific substances among those with past-year drug use.
Figure 2.

Patterns of types of substances across reproductive life stages among all Study of Treatment And Reproductive Outcomes (STAR) participants (n = 887; A) and among those with past-year drug use (n = 102; B). In A, the number of participants was 887 due to 4 missing substance use responses. Bars represent absolute numbers of participants using each substance, and lines show percentages. In B, bars represent absolute numbers of participants using each substance (including each type of illicit drug use), among those with past-year drug use. For B, only counts were shown rather than percentages, due to the small numbers of some of the pregnancy subgroups. The “other drugs” category includes club drugs (phencyclidine [PCP], angel dust, psychedelics, hallucinogens, dimethyltryptamine, mescaline, or ketamine), as well any other drugs reported not already categorized.

History of Accidental Drug Overdose

Among women with past-year drug use who responded to questions about drug overdose (n = 101), 16 (15.8%) reported history of accidental overdose (7.9% in the past year and another 7.9% >1 year prior). These included 4 who were nulliparous, 1 who was pregnant, and 11 who were parous but neither pregnant nor postpartum at the time of enrollment. We did not have data on pregnancy status at time of drug overdose.

Use of Drug Treatment Services

Overall and by HIV Status

Among 102 women with past-year drug use, 61.8% had seen a psychiatrist or counselor in the past year, and 22.6% had used any drug treatment program in the past year, including 11.8% in Narcotics Anonymous and 9.8% in inpatient detoxification programs (Table 2). Drug treatment was used by 11.6% of all STAR participants with drug treatment data (n = 882), regardless of drug use, and 1.5% of those without past-year drug use (n = 780). Among the 7 with opioid use, none had used methadone or naltrexone in the past year, and 1 had used buprenorphine-naloxone. However, among those who had not used opioids in the past year, another 1 used methadone, 6 used buprenorphine-naloxone, and 1 used naltrexone. There was no difference in use of drug treatment programs by HIV serostatus (26.5% for WWH and 18.9% for WWoH; P = .36), nor for seeing a psychiatrist or counselor (53.2% and 71.4%, respectively; P = .08). Demographic, sociobehavioral, and clinical characteristics among STAR participants with past-year drug use, by use of drug treatment programs, are shown in Table 3.

Table 2.

Use of Drug Treatment Programs Among Study of Treatment And Reproductive Outcomes (STAR) Participants With Past-Year Drug Use, by Pregnancy Status

Treatment TypeParticipants, No. (%)a
Nulliparous (n = 29)Pregnant (n = 7)Postpartum (n = 2)Parous but Not Pregnant or Postpartum (n = 64)Total (n = 102)
Psychiatrist or counselor seen in past year
 No9 (36.0)4 (57.1)0 (0.0)21 (37.5)34 (38.2)
 Yes16 (64.0)3 (42.9)1 (100.0)35 (62.5)55 (61.8)
Any drug use treatment program
 No, never23 (79.3)2 (28.6)2 (100.0)31 (48.4)58 (56.9)
 Yes, but not in past year2 (6.9)3 (42.9)0 (0.0)16 (25.0)21 (20.6)
 Yes, in past year4 (13.8)2 (28.6)0 (0.0)17 (26.6)23 (22.6)
Inpatient detoxification program
 No, never24 (82.8)3 (42.9)2 (100.0)38 (59.4)67 (65.7)
 Yes, but not in past year3 (10.3)2 (28.6)0 (0.0)20 (31.3)25 (24.5)
 Yes, in past year2 (6.9)2 (28.6)0 (0.0)6 (9.4)10 (9.8)
Outpatient detoxification program
 No, never27 (93.10)5 (71.4)2 (100.0)48 (75.0)82 (80.4)
 Yes, but not in past year2 (6.9)1 (14.3)0 (0.0)12 (18.8)15 (14.7)
 Yes, in past year0 (0.0)1 (14.3)0 (0.0)4 (6.3)5 (4.9)
Jail/prison-based treatment
 No, never29 (100.0)7 (100.0)2 (100.0)51 (79.7)89 (87.3)
 Yes, but not in past year0 (0.0)0 (0.0)0 (0.0)12 (18.8)12 (11.8)
 Yes, in past year0 (0.0)0 (0.0)0 (0.0)1 (1.6)1 (1.0)
Narcotics Anonymous
 No, never27 (93.1)5 (71.4)2 (100.0)46 (71.9)80 (78.4)
 Yes, but not in past year1 (3.5)1 (14.3)0 (0.0)8 (12.5)10 (9.8)
 Yes, in past year1 (3.5)1 (14.3)0 (0.0)10 (15.6)12 (11.8)
Halfway house
 No, never29 (100.0)5 (71.4)2 (100.0)56 (87.5)92 (90.2)
 Yes, but not in past year0 (0.0)1 (14.3)0 (0.0)6 (9.4)7 (6.9)
 Yes, in past year0 (0.0)1 (14.3)0 (0.0)2 (3.1)3 (2.9)
Methadone
 No, never1 (0.0)0 (0.0)N/A4 (80.0)5 (71.4)
 Yes, but not in past year0 (0.0)1 (100.0)1 (20.0)2 (28.6)
 Yes, in past year0 (0.0)0 (0.0)0 (0.0)0 (0.0)
Buprenorphine-naloxone in past yearb
 No1 (100.0)1 (100.0)N/A4 (80.0)6 (85.7)
 Yes0 (0.0)0 (0.0)1 (20.0)1 (14.3)
Naltrexone in past yearb
 No1 (100.0)1 (100.0)N/A5 (100.0)7 (100.0)
 Yes0 (0.0)0 (0.0)0 (0.0)0 (0.0)
Other treatment
 No, never29 (100.0)7 (100.0)2 (100.0)61 (95.3)99 (97.1)
 Yes, but not in past year0 (0.0)0 (0.0)0 (0.0)1 (1.6)1 (1.0)
 Yes, in past year0 (0.0)0 (0.0)0 (0.0)2 (3.1)2 (2.0)
Treatment TypeParticipants, No. (%)a
Nulliparous (n = 29)Pregnant (n = 7)Postpartum (n = 2)Parous but Not Pregnant or Postpartum (n = 64)Total (n = 102)
Psychiatrist or counselor seen in past year
 No9 (36.0)4 (57.1)0 (0.0)21 (37.5)34 (38.2)
 Yes16 (64.0)3 (42.9)1 (100.0)35 (62.5)55 (61.8)
Any drug use treatment program
 No, never23 (79.3)2 (28.6)2 (100.0)31 (48.4)58 (56.9)
 Yes, but not in past year2 (6.9)3 (42.9)0 (0.0)16 (25.0)21 (20.6)
 Yes, in past year4 (13.8)2 (28.6)0 (0.0)17 (26.6)23 (22.6)
Inpatient detoxification program
 No, never24 (82.8)3 (42.9)2 (100.0)38 (59.4)67 (65.7)
 Yes, but not in past year3 (10.3)2 (28.6)0 (0.0)20 (31.3)25 (24.5)
 Yes, in past year2 (6.9)2 (28.6)0 (0.0)6 (9.4)10 (9.8)
Outpatient detoxification program
 No, never27 (93.10)5 (71.4)2 (100.0)48 (75.0)82 (80.4)
 Yes, but not in past year2 (6.9)1 (14.3)0 (0.0)12 (18.8)15 (14.7)
 Yes, in past year0 (0.0)1 (14.3)0 (0.0)4 (6.3)5 (4.9)
Jail/prison-based treatment
 No, never29 (100.0)7 (100.0)2 (100.0)51 (79.7)89 (87.3)
 Yes, but not in past year0 (0.0)0 (0.0)0 (0.0)12 (18.8)12 (11.8)
 Yes, in past year0 (0.0)0 (0.0)0 (0.0)1 (1.6)1 (1.0)
Narcotics Anonymous
 No, never27 (93.1)5 (71.4)2 (100.0)46 (71.9)80 (78.4)
 Yes, but not in past year1 (3.5)1 (14.3)0 (0.0)8 (12.5)10 (9.8)
 Yes, in past year1 (3.5)1 (14.3)0 (0.0)10 (15.6)12 (11.8)
Halfway house
 No, never29 (100.0)5 (71.4)2 (100.0)56 (87.5)92 (90.2)
 Yes, but not in past year0 (0.0)1 (14.3)0 (0.0)6 (9.4)7 (6.9)
 Yes, in past year0 (0.0)1 (14.3)0 (0.0)2 (3.1)3 (2.9)
Methadone
 No, never1 (0.0)0 (0.0)N/A4 (80.0)5 (71.4)
 Yes, but not in past year0 (0.0)1 (100.0)1 (20.0)2 (28.6)
 Yes, in past year0 (0.0)0 (0.0)0 (0.0)0 (0.0)
Buprenorphine-naloxone in past yearb
 No1 (100.0)1 (100.0)N/A4 (80.0)6 (85.7)
 Yes0 (0.0)0 (0.0)1 (20.0)1 (14.3)
Naltrexone in past yearb
 No1 (100.0)1 (100.0)N/A5 (100.0)7 (100.0)
 Yes0 (0.0)0 (0.0)0 (0.0)0 (0.0)
Other treatment
 No, never29 (100.0)7 (100.0)2 (100.0)61 (95.3)99 (97.1)
 Yes, but not in past year0 (0.0)0 (0.0)0 (0.0)1 (1.6)1 (1.0)
 Yes, in past year0 (0.0)0 (0.0)0 (0.0)2 (3.1)2 (2.0)

Abbreviation: N/A, not applicable.

aPercentages are column percentages unless otherwise noted and may not total 100 due to rounding. Absolute counts may not equal the column totals due to missing values, which are available on request.

bOnly among those with past-year opioid use (n = 7), and only past-year treatment use could be assessed.

Table 2.

Use of Drug Treatment Programs Among Study of Treatment And Reproductive Outcomes (STAR) Participants With Past-Year Drug Use, by Pregnancy Status

Treatment TypeParticipants, No. (%)a
Nulliparous (n = 29)Pregnant (n = 7)Postpartum (n = 2)Parous but Not Pregnant or Postpartum (n = 64)Total (n = 102)
Psychiatrist or counselor seen in past year
 No9 (36.0)4 (57.1)0 (0.0)21 (37.5)34 (38.2)
 Yes16 (64.0)3 (42.9)1 (100.0)35 (62.5)55 (61.8)
Any drug use treatment program
 No, never23 (79.3)2 (28.6)2 (100.0)31 (48.4)58 (56.9)
 Yes, but not in past year2 (6.9)3 (42.9)0 (0.0)16 (25.0)21 (20.6)
 Yes, in past year4 (13.8)2 (28.6)0 (0.0)17 (26.6)23 (22.6)
Inpatient detoxification program
 No, never24 (82.8)3 (42.9)2 (100.0)38 (59.4)67 (65.7)
 Yes, but not in past year3 (10.3)2 (28.6)0 (0.0)20 (31.3)25 (24.5)
 Yes, in past year2 (6.9)2 (28.6)0 (0.0)6 (9.4)10 (9.8)
Outpatient detoxification program
 No, never27 (93.10)5 (71.4)2 (100.0)48 (75.0)82 (80.4)
 Yes, but not in past year2 (6.9)1 (14.3)0 (0.0)12 (18.8)15 (14.7)
 Yes, in past year0 (0.0)1 (14.3)0 (0.0)4 (6.3)5 (4.9)
Jail/prison-based treatment
 No, never29 (100.0)7 (100.0)2 (100.0)51 (79.7)89 (87.3)
 Yes, but not in past year0 (0.0)0 (0.0)0 (0.0)12 (18.8)12 (11.8)
 Yes, in past year0 (0.0)0 (0.0)0 (0.0)1 (1.6)1 (1.0)
Narcotics Anonymous
 No, never27 (93.1)5 (71.4)2 (100.0)46 (71.9)80 (78.4)
 Yes, but not in past year1 (3.5)1 (14.3)0 (0.0)8 (12.5)10 (9.8)
 Yes, in past year1 (3.5)1 (14.3)0 (0.0)10 (15.6)12 (11.8)
Halfway house
 No, never29 (100.0)5 (71.4)2 (100.0)56 (87.5)92 (90.2)
 Yes, but not in past year0 (0.0)1 (14.3)0 (0.0)6 (9.4)7 (6.9)
 Yes, in past year0 (0.0)1 (14.3)0 (0.0)2 (3.1)3 (2.9)
Methadone
 No, never1 (0.0)0 (0.0)N/A4 (80.0)5 (71.4)
 Yes, but not in past year0 (0.0)1 (100.0)1 (20.0)2 (28.6)
 Yes, in past year0 (0.0)0 (0.0)0 (0.0)0 (0.0)
Buprenorphine-naloxone in past yearb
 No1 (100.0)1 (100.0)N/A4 (80.0)6 (85.7)
 Yes0 (0.0)0 (0.0)1 (20.0)1 (14.3)
Naltrexone in past yearb
 No1 (100.0)1 (100.0)N/A5 (100.0)7 (100.0)
 Yes0 (0.0)0 (0.0)0 (0.0)0 (0.0)
Other treatment
 No, never29 (100.0)7 (100.0)2 (100.0)61 (95.3)99 (97.1)
 Yes, but not in past year0 (0.0)0 (0.0)0 (0.0)1 (1.6)1 (1.0)
 Yes, in past year0 (0.0)0 (0.0)0 (0.0)2 (3.1)2 (2.0)
Treatment TypeParticipants, No. (%)a
Nulliparous (n = 29)Pregnant (n = 7)Postpartum (n = 2)Parous but Not Pregnant or Postpartum (n = 64)Total (n = 102)
Psychiatrist or counselor seen in past year
 No9 (36.0)4 (57.1)0 (0.0)21 (37.5)34 (38.2)
 Yes16 (64.0)3 (42.9)1 (100.0)35 (62.5)55 (61.8)
Any drug use treatment program
 No, never23 (79.3)2 (28.6)2 (100.0)31 (48.4)58 (56.9)
 Yes, but not in past year2 (6.9)3 (42.9)0 (0.0)16 (25.0)21 (20.6)
 Yes, in past year4 (13.8)2 (28.6)0 (0.0)17 (26.6)23 (22.6)
Inpatient detoxification program
 No, never24 (82.8)3 (42.9)2 (100.0)38 (59.4)67 (65.7)
 Yes, but not in past year3 (10.3)2 (28.6)0 (0.0)20 (31.3)25 (24.5)
 Yes, in past year2 (6.9)2 (28.6)0 (0.0)6 (9.4)10 (9.8)
Outpatient detoxification program
 No, never27 (93.10)5 (71.4)2 (100.0)48 (75.0)82 (80.4)
 Yes, but not in past year2 (6.9)1 (14.3)0 (0.0)12 (18.8)15 (14.7)
 Yes, in past year0 (0.0)1 (14.3)0 (0.0)4 (6.3)5 (4.9)
Jail/prison-based treatment
 No, never29 (100.0)7 (100.0)2 (100.0)51 (79.7)89 (87.3)
 Yes, but not in past year0 (0.0)0 (0.0)0 (0.0)12 (18.8)12 (11.8)
 Yes, in past year0 (0.0)0 (0.0)0 (0.0)1 (1.6)1 (1.0)
Narcotics Anonymous
 No, never27 (93.1)5 (71.4)2 (100.0)46 (71.9)80 (78.4)
 Yes, but not in past year1 (3.5)1 (14.3)0 (0.0)8 (12.5)10 (9.8)
 Yes, in past year1 (3.5)1 (14.3)0 (0.0)10 (15.6)12 (11.8)
Halfway house
 No, never29 (100.0)5 (71.4)2 (100.0)56 (87.5)92 (90.2)
 Yes, but not in past year0 (0.0)1 (14.3)0 (0.0)6 (9.4)7 (6.9)
 Yes, in past year0 (0.0)1 (14.3)0 (0.0)2 (3.1)3 (2.9)
Methadone
 No, never1 (0.0)0 (0.0)N/A4 (80.0)5 (71.4)
 Yes, but not in past year0 (0.0)1 (100.0)1 (20.0)2 (28.6)
 Yes, in past year0 (0.0)0 (0.0)0 (0.0)0 (0.0)
Buprenorphine-naloxone in past yearb
 No1 (100.0)1 (100.0)N/A4 (80.0)6 (85.7)
 Yes0 (0.0)0 (0.0)1 (20.0)1 (14.3)
Naltrexone in past yearb
 No1 (100.0)1 (100.0)N/A5 (100.0)7 (100.0)
 Yes0 (0.0)0 (0.0)0 (0.0)0 (0.0)
Other treatment
 No, never29 (100.0)7 (100.0)2 (100.0)61 (95.3)99 (97.1)
 Yes, but not in past year0 (0.0)0 (0.0)0 (0.0)1 (1.6)1 (1.0)
 Yes, in past year0 (0.0)0 (0.0)0 (0.0)2 (3.1)2 (2.0)

Abbreviation: N/A, not applicable.

aPercentages are column percentages unless otherwise noted and may not total 100 due to rounding. Absolute counts may not equal the column totals due to missing values, which are available on request.

bOnly among those with past-year opioid use (n = 7), and only past-year treatment use could be assessed.

Table 3.

Demographic, Sociobehavioral, and Clinical Characteristics of Study of Treatment And Reproductive Outcomes (STAR) Participants With Past-Year Drug Use, by Drug Treatment Use

CharacteristicParticipants, No. (%)aP Valueb
Total (n = 102)Drug Use Treatment (n = 23)No Drug Use Treatment (n = 79)
Demographics
 HIV serostatus
  Seropositive49 (48.0)13 (56.5)36 (45.6).35
  Seronegative53 (52.0)10 (43.5)43 (54.4)
 Age, median (IQR), y36.8 (30.0–41.3)39.5 (35.1–42.7)35.4 (29.5–40.9).07
 Race
  Non-Hispanic black59 (57.8)12 (52.2)47 (59.5).68
  Non-Hispanic white22 (21.6)7 (30.4)15 (19.0)
  Hispanic17 (16.7)3 (13.0)14 (17.7)
  Other4 (3.9)1 (4.4)3 (3.8)
 STAR site
  DC9 (8.8)2 (8.7)7 (8.7).86
  UNC15 (14.7)2 (8.7)13 (16.5)
  Atlanta23 (22.6)5 (21.7)18 (22.8)
  Miami36 (35.3)9 (39.1)27 (34.2)
  UAB12 (11.8)4 (17.4)8 (10.1)
  MS7 (6.9)1 (4.4)6 (7.6)
 Pregnancy status
  Nulliparous29 (28.4)4 (17.4)25 (31.7).46
  Pregnant7 (6.9)2 (8.7)5 (6.3)
  Postpartum (up to 1 y)2 (2.0)0 (.0)2 (2.5)
  Parous but not pregnant or postpartum (>1 y)64 (62.8)17 (73.9)47 (59.5)
 Takes care of children (aged ≤18 y) in the home
  No67 (65.7)17 (73.9)50 (63.3).34
  Yes35 (34.3)6 (26.1)29 (36.7)
 No. of children cared for in home
  067 (65.7)17 (73.9)50 (63.3).23
  112 (11.8)1 (4.4)11 (13.9)
  211 (10.8)4 (17.4)7 (8.9)
  ≥312 (11.8)1 (4.4)11 (13.9)
 Marital status
  Married/partnered20 (19.6)6 (26.1)14 (17.7).66
  Divorced/widowed/separated21 (20.6)4 (17.4)17 (21.5)
  Never married/other61 (59.8)13 (56.5)48 (60.8)
 Highest level of education
  High school or less56 (54.9)12 (52.2)44 (55.7).77
  More than high school46 (45.1)11 (47.8)35 (44.3)
 Housingc
  Stably housed51 (50.0)9 (39.1)42 (53.2).006d
  Dependently housed27 (26.5)3 (13.0)24 (30.4)
  Unstably housed24 (23.5)11 (47.8)13 (16.5)
 Employed (full or part time)
  No61 (59.8)15 (65.2)46 (58.2).55
  Yes41 (40.2)8 (34.8)33 (41.8)
 Annual household annual income
  ≤$24 00029 (29.3)3 (14.3)26 (33.3).11
  >$24 00070 (70.7)18 (85.7)52 (66.7)
  Missing321
 Health insurancee
  No21 (20.8)3 (13.0)18 (23.1).39
  Yes80 (79.2)20 (87.0)60 (76.9)
  Missing101
 Ever jailed/incarcerated
  No39 (38.2)4 (17.4)35 (44.3).03d
  Yes63 (61.8)19 (82.6)44 (55.7)
 Ever had sex for drugs, money, shelter in past 5 y
  No65 (63.7)9 (39.1)56 (70.9).005d
  Yes37 (36.3)14 (60.9)23 (29.1)
 Depressive symptomsf
  No41 (40.6)9 (40.9)32 (40.5).97
  Yes60 (59.4)13 (59.1)47 (59.5)
  Missing110
Substance use
 Stimulant use only
  No39 (38.6)5 (22.7)34 (43.0).08
  Yes62 (61.4)17 (77.3)45 (57.0)
  Missing110
 Opioid use only
  No95 (99.0)20 (100.0)75 (98.7)>.99
  Yes1 (1.0)0 (0.0)1 (1.3)
  Missing633
 Stimulant and opioid use
  No96 (94.1)20 (87.0)76 (96.2).13
  Yes6 (5.9)3 (13.0)3 (3.8)
 Hazardous alcohol useg
  No59 (60.8)11 (55)48 (62.3).55
  Yes38 (39.2)9 (45)29 (37.7)
  Missing532
 Tobacco use (cigarettes, e-cigarettes, vaping)
  No, never18 (17.7)3 (13.0)15 (19.0).28
  Yes, but not in past year6 (5.9)0 (0.0)6 (7.6)
  Yes, in past year78 (76.5)20 (87.0)58 (73.4)
 Cannabis use in past year
  No38 (37.3)14 (60.9)24 (30.4).008d
  Yes64 (62.8)9 (39.1)55 (69.6)
Healthcare use
 Healthcare provider seen in past year
  No11 (10.9)3 (13.0)8 (10.3).71
  Yes90 (89.1)20 (87.0)70 (89.7)
  Missing101
 Psychiatrist or counselor seen in past year
  No34 (38.2)5 (26.3)29 (41.4).23
  Yes55 (61.8)14 (73.7)41 (58.6)
  Missing1349
Clinical outcomes
 HIV care in past yearh
  No3 (6.1)0 (0.0)3 (8.3).56
  Yes46 (93.9)13 (100.0)33 (91.7)
 Currently taking ARTh
  No1 (2.0)0 (0.0)1 (2.8)>.99
  Yes48 (98.0)13 (100.0)35 (97.2)
 CD4+ cell count >200/μLh
  No4 (9.1)0 (0.0)4 (12.1).56
  Yes40 (90.9)11 (100.0)29 (87.9)
  Missing523
 Viral suppression (HIV RNA <200 copies/mL)h
  No11 (26.8)2 (20.0)9 (29.0).70
  Yes30 (73.2)8 (80.0)22 (71.0)
  Missing835
CharacteristicParticipants, No. (%)aP Valueb
Total (n = 102)Drug Use Treatment (n = 23)No Drug Use Treatment (n = 79)
Demographics
 HIV serostatus
  Seropositive49 (48.0)13 (56.5)36 (45.6).35
  Seronegative53 (52.0)10 (43.5)43 (54.4)
 Age, median (IQR), y36.8 (30.0–41.3)39.5 (35.1–42.7)35.4 (29.5–40.9).07
 Race
  Non-Hispanic black59 (57.8)12 (52.2)47 (59.5).68
  Non-Hispanic white22 (21.6)7 (30.4)15 (19.0)
  Hispanic17 (16.7)3 (13.0)14 (17.7)
  Other4 (3.9)1 (4.4)3 (3.8)
 STAR site
  DC9 (8.8)2 (8.7)7 (8.7).86
  UNC15 (14.7)2 (8.7)13 (16.5)
  Atlanta23 (22.6)5 (21.7)18 (22.8)
  Miami36 (35.3)9 (39.1)27 (34.2)
  UAB12 (11.8)4 (17.4)8 (10.1)
  MS7 (6.9)1 (4.4)6 (7.6)
 Pregnancy status
  Nulliparous29 (28.4)4 (17.4)25 (31.7).46
  Pregnant7 (6.9)2 (8.7)5 (6.3)
  Postpartum (up to 1 y)2 (2.0)0 (.0)2 (2.5)
  Parous but not pregnant or postpartum (>1 y)64 (62.8)17 (73.9)47 (59.5)
 Takes care of children (aged ≤18 y) in the home
  No67 (65.7)17 (73.9)50 (63.3).34
  Yes35 (34.3)6 (26.1)29 (36.7)
 No. of children cared for in home
  067 (65.7)17 (73.9)50 (63.3).23
  112 (11.8)1 (4.4)11 (13.9)
  211 (10.8)4 (17.4)7 (8.9)
  ≥312 (11.8)1 (4.4)11 (13.9)
 Marital status
  Married/partnered20 (19.6)6 (26.1)14 (17.7).66
  Divorced/widowed/separated21 (20.6)4 (17.4)17 (21.5)
  Never married/other61 (59.8)13 (56.5)48 (60.8)
 Highest level of education
  High school or less56 (54.9)12 (52.2)44 (55.7).77
  More than high school46 (45.1)11 (47.8)35 (44.3)
 Housingc
  Stably housed51 (50.0)9 (39.1)42 (53.2).006d
  Dependently housed27 (26.5)3 (13.0)24 (30.4)
  Unstably housed24 (23.5)11 (47.8)13 (16.5)
 Employed (full or part time)
  No61 (59.8)15 (65.2)46 (58.2).55
  Yes41 (40.2)8 (34.8)33 (41.8)
 Annual household annual income
  ≤$24 00029 (29.3)3 (14.3)26 (33.3).11
  >$24 00070 (70.7)18 (85.7)52 (66.7)
  Missing321
 Health insurancee
  No21 (20.8)3 (13.0)18 (23.1).39
  Yes80 (79.2)20 (87.0)60 (76.9)
  Missing101
 Ever jailed/incarcerated
  No39 (38.2)4 (17.4)35 (44.3).03d
  Yes63 (61.8)19 (82.6)44 (55.7)
 Ever had sex for drugs, money, shelter in past 5 y
  No65 (63.7)9 (39.1)56 (70.9).005d
  Yes37 (36.3)14 (60.9)23 (29.1)
 Depressive symptomsf
  No41 (40.6)9 (40.9)32 (40.5).97
  Yes60 (59.4)13 (59.1)47 (59.5)
  Missing110
Substance use
 Stimulant use only
  No39 (38.6)5 (22.7)34 (43.0).08
  Yes62 (61.4)17 (77.3)45 (57.0)
  Missing110
 Opioid use only
  No95 (99.0)20 (100.0)75 (98.7)>.99
  Yes1 (1.0)0 (0.0)1 (1.3)
  Missing633
 Stimulant and opioid use
  No96 (94.1)20 (87.0)76 (96.2).13
  Yes6 (5.9)3 (13.0)3 (3.8)
 Hazardous alcohol useg
  No59 (60.8)11 (55)48 (62.3).55
  Yes38 (39.2)9 (45)29 (37.7)
  Missing532
 Tobacco use (cigarettes, e-cigarettes, vaping)
  No, never18 (17.7)3 (13.0)15 (19.0).28
  Yes, but not in past year6 (5.9)0 (0.0)6 (7.6)
  Yes, in past year78 (76.5)20 (87.0)58 (73.4)
 Cannabis use in past year
  No38 (37.3)14 (60.9)24 (30.4).008d
  Yes64 (62.8)9 (39.1)55 (69.6)
Healthcare use
 Healthcare provider seen in past year
  No11 (10.9)3 (13.0)8 (10.3).71
  Yes90 (89.1)20 (87.0)70 (89.7)
  Missing101
 Psychiatrist or counselor seen in past year
  No34 (38.2)5 (26.3)29 (41.4).23
  Yes55 (61.8)14 (73.7)41 (58.6)
  Missing1349
Clinical outcomes
 HIV care in past yearh
  No3 (6.1)0 (0.0)3 (8.3).56
  Yes46 (93.9)13 (100.0)33 (91.7)
 Currently taking ARTh
  No1 (2.0)0 (0.0)1 (2.8)>.99
  Yes48 (98.0)13 (100.0)35 (97.2)
 CD4+ cell count >200/μLh
  No4 (9.1)0 (0.0)4 (12.1).56
  Yes40 (90.9)11 (100.0)29 (87.9)
  Missing523
 Viral suppression (HIV RNA <200 copies/mL)h
  No11 (26.8)2 (20.0)9 (29.0).70
  Yes30 (73.2)8 (80.0)22 (71.0)
  Missing835

Abbreviations: ART, antiretroviral therapy; DC, District of Columbia; HIV, human immunodeficiency virus; IQR, interquartile range; MS, University of Mississippi; STAR, Study of Treatment And Reproductive Outcomes; UAB, University of Alabama at Birmingham; UNC, University of North Carolina.

aData represent no. (%) of participants unless otherwise specified. Percentages are column percentages unless otherwise noted and may not total 100 due to rounding.

bP values based on χ2 or Fisher exact tests for categorical variables, Wilcoxon rank sum tests for continuous variables, and t tests for normally distributed continuous variables.

cIncluding health insurance, the AIDS Drug Assistance Program, and the Ryan White Program.

dSignificant at P < .05.

eParticipants living in their own house or apartment were considered stably housed; those living on the street or beach or in a rooming/halfway house, shelter/welfare hotel, jail/other correctional facility, residential drug/alcohol treatment facility, car, assisted living, or other unstable setting were considered unstably housed; and those living in their parent's house or in someone else's house were considered dependently housed.

fDefined as Center for Epidemiologic Studies-Depression (CESD) score ≥16.

gDefined as Alcohol Use Disorders Identification Test (AUDIT) score ≥8.

hAmong women with HIV only (n = 49).

Table 3.

Demographic, Sociobehavioral, and Clinical Characteristics of Study of Treatment And Reproductive Outcomes (STAR) Participants With Past-Year Drug Use, by Drug Treatment Use

CharacteristicParticipants, No. (%)aP Valueb
Total (n = 102)Drug Use Treatment (n = 23)No Drug Use Treatment (n = 79)
Demographics
 HIV serostatus
  Seropositive49 (48.0)13 (56.5)36 (45.6).35
  Seronegative53 (52.0)10 (43.5)43 (54.4)
 Age, median (IQR), y36.8 (30.0–41.3)39.5 (35.1–42.7)35.4 (29.5–40.9).07
 Race
  Non-Hispanic black59 (57.8)12 (52.2)47 (59.5).68
  Non-Hispanic white22 (21.6)7 (30.4)15 (19.0)
  Hispanic17 (16.7)3 (13.0)14 (17.7)
  Other4 (3.9)1 (4.4)3 (3.8)
 STAR site
  DC9 (8.8)2 (8.7)7 (8.7).86
  UNC15 (14.7)2 (8.7)13 (16.5)
  Atlanta23 (22.6)5 (21.7)18 (22.8)
  Miami36 (35.3)9 (39.1)27 (34.2)
  UAB12 (11.8)4 (17.4)8 (10.1)
  MS7 (6.9)1 (4.4)6 (7.6)
 Pregnancy status
  Nulliparous29 (28.4)4 (17.4)25 (31.7).46
  Pregnant7 (6.9)2 (8.7)5 (6.3)
  Postpartum (up to 1 y)2 (2.0)0 (.0)2 (2.5)
  Parous but not pregnant or postpartum (>1 y)64 (62.8)17 (73.9)47 (59.5)
 Takes care of children (aged ≤18 y) in the home
  No67 (65.7)17 (73.9)50 (63.3).34
  Yes35 (34.3)6 (26.1)29 (36.7)
 No. of children cared for in home
  067 (65.7)17 (73.9)50 (63.3).23
  112 (11.8)1 (4.4)11 (13.9)
  211 (10.8)4 (17.4)7 (8.9)
  ≥312 (11.8)1 (4.4)11 (13.9)
 Marital status
  Married/partnered20 (19.6)6 (26.1)14 (17.7).66
  Divorced/widowed/separated21 (20.6)4 (17.4)17 (21.5)
  Never married/other61 (59.8)13 (56.5)48 (60.8)
 Highest level of education
  High school or less56 (54.9)12 (52.2)44 (55.7).77
  More than high school46 (45.1)11 (47.8)35 (44.3)
 Housingc
  Stably housed51 (50.0)9 (39.1)42 (53.2).006d
  Dependently housed27 (26.5)3 (13.0)24 (30.4)
  Unstably housed24 (23.5)11 (47.8)13 (16.5)
 Employed (full or part time)
  No61 (59.8)15 (65.2)46 (58.2).55
  Yes41 (40.2)8 (34.8)33 (41.8)
 Annual household annual income
  ≤$24 00029 (29.3)3 (14.3)26 (33.3).11
  >$24 00070 (70.7)18 (85.7)52 (66.7)
  Missing321
 Health insurancee
  No21 (20.8)3 (13.0)18 (23.1).39
  Yes80 (79.2)20 (87.0)60 (76.9)
  Missing101
 Ever jailed/incarcerated
  No39 (38.2)4 (17.4)35 (44.3).03d
  Yes63 (61.8)19 (82.6)44 (55.7)
 Ever had sex for drugs, money, shelter in past 5 y
  No65 (63.7)9 (39.1)56 (70.9).005d
  Yes37 (36.3)14 (60.9)23 (29.1)
 Depressive symptomsf
  No41 (40.6)9 (40.9)32 (40.5).97
  Yes60 (59.4)13 (59.1)47 (59.5)
  Missing110
Substance use
 Stimulant use only
  No39 (38.6)5 (22.7)34 (43.0).08
  Yes62 (61.4)17 (77.3)45 (57.0)
  Missing110
 Opioid use only
  No95 (99.0)20 (100.0)75 (98.7)>.99
  Yes1 (1.0)0 (0.0)1 (1.3)
  Missing633
 Stimulant and opioid use
  No96 (94.1)20 (87.0)76 (96.2).13
  Yes6 (5.9)3 (13.0)3 (3.8)
 Hazardous alcohol useg
  No59 (60.8)11 (55)48 (62.3).55
  Yes38 (39.2)9 (45)29 (37.7)
  Missing532
 Tobacco use (cigarettes, e-cigarettes, vaping)
  No, never18 (17.7)3 (13.0)15 (19.0).28
  Yes, but not in past year6 (5.9)0 (0.0)6 (7.6)
  Yes, in past year78 (76.5)20 (87.0)58 (73.4)
 Cannabis use in past year
  No38 (37.3)14 (60.9)24 (30.4).008d
  Yes64 (62.8)9 (39.1)55 (69.6)
Healthcare use
 Healthcare provider seen in past year
  No11 (10.9)3 (13.0)8 (10.3).71
  Yes90 (89.1)20 (87.0)70 (89.7)
  Missing101
 Psychiatrist or counselor seen in past year
  No34 (38.2)5 (26.3)29 (41.4).23
  Yes55 (61.8)14 (73.7)41 (58.6)
  Missing1349
Clinical outcomes
 HIV care in past yearh
  No3 (6.1)0 (0.0)3 (8.3).56
  Yes46 (93.9)13 (100.0)33 (91.7)
 Currently taking ARTh
  No1 (2.0)0 (0.0)1 (2.8)>.99
  Yes48 (98.0)13 (100.0)35 (97.2)
 CD4+ cell count >200/μLh
  No4 (9.1)0 (0.0)4 (12.1).56
  Yes40 (90.9)11 (100.0)29 (87.9)
  Missing523
 Viral suppression (HIV RNA <200 copies/mL)h
  No11 (26.8)2 (20.0)9 (29.0).70
  Yes30 (73.2)8 (80.0)22 (71.0)
  Missing835
CharacteristicParticipants, No. (%)aP Valueb
Total (n = 102)Drug Use Treatment (n = 23)No Drug Use Treatment (n = 79)
Demographics
 HIV serostatus
  Seropositive49 (48.0)13 (56.5)36 (45.6).35
  Seronegative53 (52.0)10 (43.5)43 (54.4)
 Age, median (IQR), y36.8 (30.0–41.3)39.5 (35.1–42.7)35.4 (29.5–40.9).07
 Race
  Non-Hispanic black59 (57.8)12 (52.2)47 (59.5).68
  Non-Hispanic white22 (21.6)7 (30.4)15 (19.0)
  Hispanic17 (16.7)3 (13.0)14 (17.7)
  Other4 (3.9)1 (4.4)3 (3.8)
 STAR site
  DC9 (8.8)2 (8.7)7 (8.7).86
  UNC15 (14.7)2 (8.7)13 (16.5)
  Atlanta23 (22.6)5 (21.7)18 (22.8)
  Miami36 (35.3)9 (39.1)27 (34.2)
  UAB12 (11.8)4 (17.4)8 (10.1)
  MS7 (6.9)1 (4.4)6 (7.6)
 Pregnancy status
  Nulliparous29 (28.4)4 (17.4)25 (31.7).46
  Pregnant7 (6.9)2 (8.7)5 (6.3)
  Postpartum (up to 1 y)2 (2.0)0 (.0)2 (2.5)
  Parous but not pregnant or postpartum (>1 y)64 (62.8)17 (73.9)47 (59.5)
 Takes care of children (aged ≤18 y) in the home
  No67 (65.7)17 (73.9)50 (63.3).34
  Yes35 (34.3)6 (26.1)29 (36.7)
 No. of children cared for in home
  067 (65.7)17 (73.9)50 (63.3).23
  112 (11.8)1 (4.4)11 (13.9)
  211 (10.8)4 (17.4)7 (8.9)
  ≥312 (11.8)1 (4.4)11 (13.9)
 Marital status
  Married/partnered20 (19.6)6 (26.1)14 (17.7).66
  Divorced/widowed/separated21 (20.6)4 (17.4)17 (21.5)
  Never married/other61 (59.8)13 (56.5)48 (60.8)
 Highest level of education
  High school or less56 (54.9)12 (52.2)44 (55.7).77
  More than high school46 (45.1)11 (47.8)35 (44.3)
 Housingc
  Stably housed51 (50.0)9 (39.1)42 (53.2).006d
  Dependently housed27 (26.5)3 (13.0)24 (30.4)
  Unstably housed24 (23.5)11 (47.8)13 (16.5)
 Employed (full or part time)
  No61 (59.8)15 (65.2)46 (58.2).55
  Yes41 (40.2)8 (34.8)33 (41.8)
 Annual household annual income
  ≤$24 00029 (29.3)3 (14.3)26 (33.3).11
  >$24 00070 (70.7)18 (85.7)52 (66.7)
  Missing321
 Health insurancee
  No21 (20.8)3 (13.0)18 (23.1).39
  Yes80 (79.2)20 (87.0)60 (76.9)
  Missing101
 Ever jailed/incarcerated
  No39 (38.2)4 (17.4)35 (44.3).03d
  Yes63 (61.8)19 (82.6)44 (55.7)
 Ever had sex for drugs, money, shelter in past 5 y
  No65 (63.7)9 (39.1)56 (70.9).005d
  Yes37 (36.3)14 (60.9)23 (29.1)
 Depressive symptomsf
  No41 (40.6)9 (40.9)32 (40.5).97
  Yes60 (59.4)13 (59.1)47 (59.5)
  Missing110
Substance use
 Stimulant use only
  No39 (38.6)5 (22.7)34 (43.0).08
  Yes62 (61.4)17 (77.3)45 (57.0)
  Missing110
 Opioid use only
  No95 (99.0)20 (100.0)75 (98.7)>.99
  Yes1 (1.0)0 (0.0)1 (1.3)
  Missing633
 Stimulant and opioid use
  No96 (94.1)20 (87.0)76 (96.2).13
  Yes6 (5.9)3 (13.0)3 (3.8)
 Hazardous alcohol useg
  No59 (60.8)11 (55)48 (62.3).55
  Yes38 (39.2)9 (45)29 (37.7)
  Missing532
 Tobacco use (cigarettes, e-cigarettes, vaping)
  No, never18 (17.7)3 (13.0)15 (19.0).28
  Yes, but not in past year6 (5.9)0 (0.0)6 (7.6)
  Yes, in past year78 (76.5)20 (87.0)58 (73.4)
 Cannabis use in past year
  No38 (37.3)14 (60.9)24 (30.4).008d
  Yes64 (62.8)9 (39.1)55 (69.6)
Healthcare use
 Healthcare provider seen in past year
  No11 (10.9)3 (13.0)8 (10.3).71
  Yes90 (89.1)20 (87.0)70 (89.7)
  Missing101
 Psychiatrist or counselor seen in past year
  No34 (38.2)5 (26.3)29 (41.4).23
  Yes55 (61.8)14 (73.7)41 (58.6)
  Missing1349
Clinical outcomes
 HIV care in past yearh
  No3 (6.1)0 (0.0)3 (8.3).56
  Yes46 (93.9)13 (100.0)33 (91.7)
 Currently taking ARTh
  No1 (2.0)0 (0.0)1 (2.8)>.99
  Yes48 (98.0)13 (100.0)35 (97.2)
 CD4+ cell count >200/μLh
  No4 (9.1)0 (0.0)4 (12.1).56
  Yes40 (90.9)11 (100.0)29 (87.9)
  Missing523
 Viral suppression (HIV RNA <200 copies/mL)h
  No11 (26.8)2 (20.0)9 (29.0).70
  Yes30 (73.2)8 (80.0)22 (71.0)
  Missing835

Abbreviations: ART, antiretroviral therapy; DC, District of Columbia; HIV, human immunodeficiency virus; IQR, interquartile range; MS, University of Mississippi; STAR, Study of Treatment And Reproductive Outcomes; UAB, University of Alabama at Birmingham; UNC, University of North Carolina.

aData represent no. (%) of participants unless otherwise specified. Percentages are column percentages unless otherwise noted and may not total 100 due to rounding.

bP values based on χ2 or Fisher exact tests for categorical variables, Wilcoxon rank sum tests for continuous variables, and t tests for normally distributed continuous variables.

cIncluding health insurance, the AIDS Drug Assistance Program, and the Ryan White Program.

dSignificant at P < .05.

eParticipants living in their own house or apartment were considered stably housed; those living on the street or beach or in a rooming/halfway house, shelter/welfare hotel, jail/other correctional facility, residential drug/alcohol treatment facility, car, assisted living, or other unstable setting were considered unstably housed; and those living in their parent's house or in someone else's house were considered dependently housed.

fDefined as Center for Epidemiologic Studies-Depression (CESD) score ≥16.

gDefined as Alcohol Use Disorders Identification Test (AUDIT) score ≥8.

hAmong women with HIV only (n = 49).

By Type of Substances Used (Stimulants, Opioids, or Combination)

We attempted to analyze the use of drug treatment programs by use of stimulants only, opioids only, or a combination of both. However, only 1 individual in the STAR cohort reported using opioids alone, and only 6 used a combination of stimulants/opioids. Most participants (n = 62) used stimulants only. Thus, we were unable to make meaningful comparisons between the groups.

By Pregnancy and Parenting Status

Among pregnant women with past-year drug use (n = 7), 2 (28.6%) used drug treatment in the past year; neither of the 2 postpartum women with drug use used treatment. Drug treatment was used by 26.6% of women who were parous but neither pregnant nor postpartum and 13.8% of those who were nulliparous (Table 2). There was no difference in rates of drug treatment use by pregnancy status, though the number of women in the pregnant and postpartum groups were small (n < 10 each). There were no differences in the rates of drug treatment program use by parenting status or number of children in the household.

Use of Harm Reduction Services

Among the 8 STAR participants who reported accidental overdose in the past year, half had received naloxone in the past year. In the entire STAR cohort, 19 women reported using HIV preexposure prophylaxis in the past year, of whom 1 attributed their reason for possible exposure as injection drug use.

Use of Alcohol Use Treatment Services

Overall and by HIV Status

Among 129 women with past-year hazardous alcohol use, 57.1% had seen a psychiatrist or counselor in the past year, and 7.1% had used any alcohol use treatment program in the past year. Among those who used an alcohol treatment program in the past year (n = 27), the most frequently used alcohol use treatment programs were outpatient alcohol detoxification programs (n = 6), followed by inpatient detoxification and Alcoholics Anonymous programs (n = 5 each). There was no statistically significant difference in the use of alcohol use treatment programs (overall or by type) by HIV serostatus.

By Pregnancy and Parenting Status

Among the 128 women with hazardous alcohol use and pregnancy status reported, 28.1% were nulliparous, 9.4% pregnant, 2.3% postpartum, and 60.2% parous but not pregnant or postpartum. Use of alcohol treatment programs, overall and by each type, were highest among those who were parous but not pregnant or postpartum. Only 1 of 12 pregnant women with hazardous alcohol use reported any alcohol treatment program in the past year, and none of the 3 postpartum women reported use of alcohol treatment programs. Supplementary Table 2 shows the use of each type of alcohol treatment program, by pregnancy status.

HIV-Related Outcomes by Past-Year SU or Treatment

Among WWH (n = 526), there were no differences in any HIV-related clinical outcomes by past-year drug use. (See Supplementary Table 3 for other participant characteristics, by past-year drug use.) Among WWH with drug use (n = 49), HIV care engagement and ART use were high (>90%) regardless of drug treatment use; there were no differences in viral suppression between those who did and those who did not use drug treatment (Table 3).

DISCUSSION

In a large, prospective cohort of reproductive-age WWH and WWoH in the Southern United States, past-year drug use was common, with high rates of co-occurring tobacco and nonmedical cannabis use. Among drugs, we found predominantly stimulant use with crack/cocaine. Our findings add to the literature of SU across the reproductive life stages and are aligned with the critical need to increase SU research in women [21].

The prevalence of past-year drug use in this cohort (12%) was comparable to reports of drug use in reproductive-age women from a 2014 epidemiological review [22]. Our observed prevalence of stimulant use was higher than national averages among US women, with high rates of crack/cocaine (61%) and methamphetamine use (14%) among those with past-year drug use. Considering prevalence across the entire cohort, past-year crack/cocaine use was 7.1% and methamphetamine use was 1.6%, compared with the Substance Abuse and Mental Health Services Administration's (SAMHSA) 2023 estimates of 1.2% past-year cocaine use and 0.7% methamphetamine use among girls and women aged ≥12 years [23]. Notably, the largest category of stimulant use in SAMHSA's survey was prescription stimulant misuse (1.3%) [23], which STAR questionnaires do not assess. Thus, the prevalence of stimulant use in STAR may be underestimated.

The category of “other drugs” also had high prevalence at nearly 30%, driven predominantly by club drug use. Because this category of drugs encompasses several different substances, it is difficult to compare our findings with those of prior studies. Club drug use has been described as common among people living with or at risk for HIV, and it has been associated with increased sexual and HIV risk behaviors [24]. However, most of these studies have been among men who have sex with men [24–26]. Our findings may indicate a need for future studies of club drug use among reproductive-age women, especially in the context of HIV risk and prevention.

Opioid use among those with past-year drug use was low (7%) and comparable to rates reported from another cohort of reproductive-age WWH [27]. Past-year opioid use was lower than what we previously described in the WIHS cohort, where 40% of women with past-year drug use reported opioid use. These differences could reflect variation in geographic regions of study sites or the shifting trends in SU preferences, since WIHS is a longstanding cohort established in 1993, whereas STAR began enrollment in 2021. Notably, our study did not assess prescription opioid misuse, even though most opioid use in women is misuse of prescription opioids rather than heroin [23]; thus, our findings may underestimate rates of opioid misuse in US women. Finally, we observed higher prevalence of hazardous alcohol use, cannabis use, and drug use in WWoH; however, drug use was among the inclusion criteria for enrolling WWoH, which may explain the higher prevalence in this group.

As in prior published studies [13, 28, 29], we found that SU prevalence was lower during pregnancy. However, prior studies have shown a rapid return to SU in the immediate postpartum period (within <1 year), potentially due to the stressful transition to parenting roles. In contrast, we found low prevalence of SU in both pregnancy and the postpartum period, with increased SU prevalence >1 year postpartum. Interpretation of our findings is limited by the relatively small sample size of postpartum women and the cross-sectional nature of our study; we did not follow individual SU patterns over time. Distinguishing which reproductive life stages have high rates of return to SU is important to inform opportunities for interventions, especially for women who had been successful in SU cessation or reduction during pregnancy. Thus, from a research standpoint, additional longitudinal studies of SU patterns in this population are needed. From a policy standpoint, given the alarming increase in drug overdose mortality rates among pregnant and postpartum women [9, 12], nonpunitive approaches are urgently needed to encourage pregnant and postpartum women to safely engage and persist in SU care.

Studies have reported an increase in marijuana use in women over recent years, with a range of 7%–20% [23, 27, 30, 31], possibly related to changes to legalization of marijuana in some states. In STAR, we found an even higher prevalence of cannabis use (marijuana or hash), >40% among all women and nearly 40% among pregnant women. This could reflect changes to state laws around marijuana legalization or increasing popularity among younger women, as SAMHSA reported the highest prevalence of marijuana use among 18–25-year-olds (approaching 40%), compared to those aged ≥26 years in the general US population [23]. Although cannabis use among people with HIV has not consistently been shown to worsen HIV-related outcomes, data suggest that maternal use of cannabis during pregnancy is associated with adverse fetal outcomes [32–35]. Together with the increasing prevalence of cannabis use, especially among younger adults [23], additional research on the effects of cannabis use on reproductive health is critical and timely.

Tobacco use was also high, at nearly 40% overall and nearly 30% among pregnant women. Unfortunately, nicotine replacement therapy and other pharmacotherapy to help quit smoking were not assessed in STAR questionnaires. Despite the teratogenic effects of nicotine [36–38] and the availability of evidence-based pharmacotherapy (eg, nicotine replacement therapy, varenicline, and bupropion) [39, 40] the US Preventive Services Task Force recommends only behavioral interventions for tobacco cessation for pregnant women, due to insufficient evidence on the risks versus benefits of pharmacotherapy for pregnant women [41]. This highlights the need for high-quality research on the safety and efficacy of pharmacotherapy for smoking cessation in pregnant women.

The prevalence of past-year drug use treatment in this cohort, >20%, is higher than prior reports of <10% among reproductive-age women with SUD [31] and is relatively high considering that estimates of lifetime drug use treatment among all Americans range between 10% and 30% [42, 43]. These differences could be attributed to our study population of women, which could select for women with more engagement and access to healthcare resources. In contrast, the studies cited above were one-time surveys of the general population. In addition to drug treatment programs, >60% of those with past-year drug use saw a psychiatrist or counselor in the past year, but we could not determine whether they were seen for SUDs or other mental health needs. Interestingly, rates of drug treatment among STAR participants with drug use were half of what we found in our prior work with the WIHS cohort [17].

We initially speculated that the difference in median ages of the cohorts could influence different drug treatment preferences. However, when we performed an informal post hoc analysis and restricted the WIHS study sites to only Southern US sites, rates of drug treatment were more comparable to STAR's. This suggests that the lower rates of drug treatment in STAR could be attributed to geographic variation rather than age. We observed low rates of use of medications for opioid use disorder among women with past-year opioid use, but the subgroup of women with opioid use was small. We found higher use of these medications among participants without past-year opioid use, which may speak to the efficacy of these medications. Importantly, the use of drug treatment did not differ by HIV status, and HIV-related clinical outcomes did not differ by drug treatment use, with high rates of HIV care engagement and ART use in both groups. This may be due to high care engagement among research participants compared with the general population.

For pregnant WWH, perinatal care is an important opportunity to optimize not only perinatal outcomes, but also HIV and SUD care engagement. During pregnancy, women have an increased number of touchpoints with the healthcare system, with typically 8–12 prenatal visits and ≥1 postpartum visit. This presents a unique opportunity to engage women in HIV and addiction care, in part due to increased engagement with healthcare providers and because previously uninsured women become eligible for Medicaid due to their pregnancy status. Yet, a prior study from Atlanta, Georgia revealed that despite having frequent contact with the healthcare system through prenatal visits, postpartum WWH in the Southern United States have remarkably low retention in HIV care and viral suppression [44].

Unfortunately, we lack evidence-based, effective interventions to improve these implementation gaps in the HIV/SUD care continuum for women. Novel models of care delivery to integrate HIV and SUD care have been proposed, including low-barrier care models like Seattle's MAX clinic or San Francisco's POP-UP clinic [45, 46]; however, few of these models have focused on women's health. Tailoring novel models of HIV/SUD care delivery to women's needs and preferences could address barriers to seeking and accessing SUD care. Therefore, efforts to increase SUD treatment and harm reduction uptake must focus not only on increasing access but also on exploring and understanding the perspectives of women with SUDs.

The current study has several limitations. Since the STAR recruits from Southern US cities, our findings may not be generalizable to other US regions or to rural communities. Due to stigma associated with SU, especially in pregnant and postpartum women, response or desirability bias may result in misclassification; in future work, we may explore use of techniques such as list randomization to elicit better information at the population level. This analysis uses baseline STAR data only; future longitudinal studies are needed to follow SU trends over time during reproductive transitions. Questionnaires do not allow us to identify those with SUDs as defined by Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) criteria, however, we attempted to account for this by reporting SU frequency in addition to past-year use.

In conclusion, our study demonstrated high rates of SU and co-occurring SU among reproductive-age WWH and WWoH in the Southern United States with variation across reproductive life stages. Our findings from the STAR cohort reveal contemporary patterns of SU and treatment among reproductive-age women, and future implementation studies are needed to better understand the barriers and facilitators to integrating SUD care into HIV care settings tailored to the needs and preferences of reproductive-age women.

Supplementary Data

Supplementary materials are available at Open Forum Infectious Diseases online. Consisting of data provided by the authors to benefit the reader, the posted materials are not copyedited and are the sole responsibility of the authors, so questions or comments should be addressed to the corresponding author.

Acknowledgments

Data in this article were collected by the Study of Treatment And Reproductive outcomes (STAR). STAR principal investigators include Adaora Adimora, MD, and Daniel Westreich, PhD (University of North Carolina–Chapel Hill); M. L. A. (University of Miami); Seble Kassaye, MD, MS (Georgetown University); Elizabeth Topper, PhD, MEd, MPH (Data Analysis & Coordination Center, Johns Hopkins University); A. R. (University of Alabama–Birmingham); and A. N. S. (Emory University).

Disclaimer. The contents of this publication are solely the responsibility of the authors and do not represent the official views of the National Institutes of Health .

Financial support. STAR is funded primarily by the National Institutes of Health (grant R01HD101352) and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, with supplemental funding from the National Institute of Dental and Craniofacial Research and the Centers for Disease Control and Prevention. STAR data collection is also supported by the National Institutes of Health (grants P30AI027767 to Birmingham Center for AIDS Research [CFAR], P30AI050409 to Emory CFAR, P30AI073961 to Miami CFAR, P30MH116867 to Miami Center for HIV and Research in Mental Health, UL1-TR001409, KL2-TR001432, and TL1-TR001431 to DC Clinical and Translational Science Award).

References

1

Momplaisir
 
FM
,
Storm
 
DS
,
Nkwihoreze
 
H
,
Jayeola
 
O
,
Jemmott
 
JB
.
Improving postpartum retention in care for women living with HIV in the United States
.
AIDS
 
2018
;
32
:
133
42
.

2

Rana
 
AI
,
Gillani
 
FS
,
Flanigan
 
TP
,
Nash
 
BT
,
Beckwith
 
CG
.
Follow-up care among HIV-infected pregnant women in Mississippi
.
J Womens Health (Larchmt)
 
2010
;
19
:
1863
7
.

3

Meditz
 
AL
,
MaWhinney
 
S
,
Allshouse
 
A
, et al.  
Sex, race, and geographic region influence clinical outcomes following primary HIV-1 infection
.
J Infect Dis
 
2011
;
203
:
442
51
.

4

Murphy
 
K
,
Hoover
 
DR
,
Shi
 
Q
, et al.  
Association of self-reported race with AIDS death in continuous HAART users in a cohort of HIV-infected women in the United States
.
AIDS
 
2013
;
27
:
2413
23
.

5

Labisi
 
TO
,
Podany
 
AT
,
Fadul
 
NA
,
Coleman
 
JD
,
King
 
KM
.
Factors associated with viral suppression among cisgender women living with human immunodeficiency virus in the United States: an integrative review
.
Womens Health (Lond)
 
2022
;
18
:
17455057221092267
.

6

Zhang
 
Y
,
Wilson
 
TE
,
Adedimeji
 
A
, et al.  
The impact of substance use on adherence to antiretroviral therapy among HIV-infected women in the United States
.
AIDS Behav
 
2018
;
22
:
896
908
.

7

Hartzler
 
B
,
Dombrowski
 
JC
,
Crane
 
HM
, et al.  
Prevalence and predictors of substance use disorders among HIV care enrollees in the United States
.
AIDS Behav
 
2017
;
21
:
1138
48
.

8

Meyer
 
JP
,
Springer
 
SA
,
Altice
 
FL
.
Substance abuse, violence, and HIV in women: a literature review of the syndemic
.
J Womens Health (Larchmt)
 
2011
;
20
:
991
1006
.

9

Han
 
B
,
Einstein
 
EB
,
Jones
 
CM
,
Cotto
 
J
,
Compton
 
WM
,
Volkow
 
ND
.
Racial and ethnic disparities in drug overdose deaths in the US during the COVID-19 pandemic
.
JAMA Netw Open
 
2022
;
5
:
e2232314
.

10

Ahmad
 
FB
,
Cisewski
 
JA
,
Rossen
 
LM
,
Sutton
 
P
.
Provisional drug overdose death counts
.
National Center for Health Statistics
;
2025
. doi: .

11

Han
 
B
,
Compton
 
WM
,
Einstein
 
EB
,
Elder
 
E
,
Volkow
 
ND
.
Pregnancy and postpartum drug overdose deaths in the US before and during the COVID-19 pandemic
.
JAMA Psychiatry
 
2024
;
81
:
270
83
.

12

Bruzelius
 
E
,
Martins
 
SS
.
US trends in drug overdose mortality among pregnant and postpartum persons, 2017–2020
.
JAMA
 
2022
;
328
:
2159
61
.

13

Bailey
 
JA
,
Hill
 
KG
,
Hawkins
 
JD
,
Catalano
 
RF
,
Abbott
 
RD
.
Men's and women's patterns of substance use around pregnancy
.
Birth
 
2008
;
35
:
50
9
.

14

Wolfson
 
L
,
Schmidt
 
RA
,
Stinson
 
J
,
Poole
 
N
.
Examining barriers to harm reduction and child welfare services for pregnant women and mothers who use substances using a stigma action framework
.
Health Soc Care Community
 
2021
;
29
:
589
601
.

15

Green
 
CA
.
Gender and use of substance abuse treatment services
.
Alcohol Res Health
 
2006
;
29
:
55
62
.

16

Westreich
 
D
,
Rosenberg
 
M
,
Schwartz
 
S
,
Swamy
 
G
.
Representation of women and pregnant women in HIV research: a limited systematic review
.
PLoS One
 
2013
;
8
:
e73398
.

17

Fujita
 
AW
,
Ramakrishnan
 
A
,
Mehta
 
CC
, et al.  
Substance use treatment utilization among women with and without human immunodeficiency virus
.
Open Forum Infect Dis
 
2023
;
10
:
ofac684
.

18

Sheth
 
AN
,
Adimora
 
AA
,
Golub
 
ET
, et al.  
Study of treatment and reproductive outcomes among reproductive-age women with HIV infection in the Southern United States: protocol for a longitudinal cohort study
.
JMIR Res Protoc
 
2021
;
10
:
e30398
.

19

Montgomery
 
L
,
Bagot
 
K
,
Brown
 
JL
,
Haeny
 
AM
.
The association between marijuana use and HIV Continuum of care outcomes: a systematic review
.
Curr HIV/AIDS Rep
 
2019
;
16
:
17
28
.

20

Sinha
 
S
,
McCaul
 
ME
,
Hutton
 
HE
, et al.  
Marijuana use and HIV treatment outcomes among PWH receiving care at an urban HIV clinic
.
J Subst Abuse Treat
 
2017
;
82
:
102
6
.

21

National Institute on Drug Abuse
. National Institute on Drug Abuse website. Available at: https://nida.nih.gov/publications/research-reports/substance-use-in-women/summary. Accessed 1 April 2024.

22

McHugh
 
RK
,
Wigderson
 
S
,
Greenfield
 
SF
.
Epidemiology of substance use in reproductive-age women
.
Obstet Gynecol Clin North Am
 
2014
;
41
:
177
89
.

23

2023 National survey on drug use and health: among females aged 12 or older. 2023. Available at: https://www.samhsa.gov/data/sites/default/files/reports/rpt53159/2023-nsduh-pop-slides-female.pdf. Accessed 13 December 2024.

24

Colfax
 
G
,
Guzman
 
R
.
Club drugs and HIV infection: a review
.
Clin Infect Dis
 
2006
;
42
:
1463
9
.

25

Pappas
 
MK
,
Halkitis
 
PN
.
Sexual risk taking and club drug use across three age cohorts of HIV-positive gay and bisexual men in New York city
.
AIDS Care
 
2011
;
23
:
1410
6
.

26

Morgenstern
 
J
,
Bux
 
DA
 Jr
,
Parsons
 
J
,
Hagman
 
BT
,
Wainberg
 
M
,
Irwin
 
T
.
Randomized trial to reduce club drug use and HIV risk behaviors among men who have sex with men
.
J Consult Clin Psychol
 
2009
;
77
:
645
56
.

27

Yee
 
LM
,
Kacanek
 
D
,
Brightwell
 
C
, et al.  
Marijuana, opioid, and alcohol use among pregnant and postpartum individuals living with HIV in the US
.
JAMA Netw Open
 
2021
;
4
:
e2137162
.

28

Wu
 
ZH
,
Wu
 
R
,
Brownell
 
E
,
Oncken
 
C
,
Grady
 
J
.
Stress and drug use from prepregnancy, during pregnancy, to postpartum
.
J Racial Ethn Health Disparities
 
2021
;
8
:
454
62
.

29

Eitel
 
AE
,
Witcraft
 
SM
,
McRae-Clark
 
AL
,
Brady
 
K
,
King
 
C
,
Guille
 
C
.
Exploration into patterns of Cannabis use across pregnancy and postpartum
.
J Addict Med
 
2024
;
18
:
327
30
.

30

Kobernik
 
EK
,
Ford
 
ND
,
Levecke
 
M
, et al.  
Marijuana use among pregnant and nonpregnant women of reproductive age, 2013–2019
.
Subst Use Misuse
 
2024
;
59
:
690
8
.

31

Martin
 
CE
,
Scialli
 
A
,
Terplan
 
M
.
Unmet substance use disorder treatment need among reproductive age women
.
Drug Alcohol Depend
 
2020
;
206
:
107679
.

32

Lo
 
JO
,
Hedges
 
JC
,
Girardi
 
G
.
Impact of cannabinoids on pregnancy, reproductive health, and offspring outcomes
.
Am J Obstet Gynecol
 
2022
;
227
:
571
81
.

33

Hayatbakhsh
 
MR
,
Flenady
 
VJ
,
Gibbons
 
KS
, et al.  
Birth outcomes associated with cannabis use before and during pregnancy
.
Pediatr Res
 
2012
;
71
:
215
9
.

34

El Marroun
 
H
,
Tiemeier
 
H
,
Steegers
 
EA
, et al.  
Intrauterine cannabis exposure affects fetal growth trajectories: the generation R study
.
J Am Acad Child Adolesc Psychiatry
 
2009
;
48
:
1173
81
.

35

Gunn
 
JK
,
Rosales
 
CB
,
Center
 
KE
, et al.  
Prenatal exposure to cannabis and maternal and child health outcomes: a systematic review and meta-analysis
.
BMJ Open
 
2016
;
6
:
e009986
.

36

Ko
 
TJ
,
Tsai
 
LY
,
Chu
 
LC
, et al.  
Parental smoking during pregnancy and its association with low birth weight, small for gestational age, and preterm birth offspring: a birth cohort study
.
Pediatr Neonatol
 
2014
;
55
:
20
7
.

37

Polakowski
 
LL
,
Akinbami
 
LJ
,
Mendola
 
P
.
Prenatal smoking cessation and the risk of delivering preterm and small-for-gestational-age newborns
.
Obstet Gynecol
 
2009
;
114
(
2 pt 1
):
318
25
.

38

Pollack
 
H
,
Lantz
 
PM
,
Frohna
 
JG
.
Maternal smoking and adverse birth outcomes among singletons and twins
.
Am J Public Health
 
2000
;
90
:
395
400
.

39

Hartmann-Boyce
 
J
,
Chepkin
 
SC
,
Ye
 
W
,
Bullen
 
C
,
Lancaster
 
T
.
Nicotine replacement therapy versus control for smoking cessation
.
Cochrane Database Syst Rev
 
2018
;
5
:
CD000146
.

40

Wu
 
P
,
Wilson
 
K
,
Dimoulas
 
P
,
Mills
 
EJ
.
Effectiveness of smoking cessation therapies: a systematic review and meta-analysis
.
BMC Public Health
 
2006
;
6
:
300
.

41

Siu
 
AL
;
US Preventive Services Task Force
.
Behavioral and pharmacotherapy interventions for tobacco smoking cessation in adults, including pregnant women: U.S. Preventive Services Task Force recommendation statement
.
Ann Intern Med
 
2015
;
163
:
622
34
.

42

Lipari
 
RN
,
Park-Lee
 
E
,
Van Horn
 
S
.
America's need for and receipt of substance use treatment in 2015
.
The CBHSQ report Substance Abuse and Mental Health Services Administration (US);
 
2016
:
1
7
.

43

Boden
 
MT
,
Hoggatt
 
KJ
.
Substance use disorders among veterans in a nationally representative sample: prevalence and associated functioning and treatment utilization
.
J Stud Alcohol Drugs
 
2018
;
79
:
853
61
.

44

Meade
 
CM
,
Badell
 
M
,
Hackett
 
S
, et al.  
HIV care Continuum among postpartum women living with HIV in Atlanta
.
Infect Dis Obstet Gynecol
 
2019
;
2019
:
8161495
.

45

Imbert
 
E
,
Hickey
 
MD
,
Clemenzi-Allen
 
A
, et al.  
Evaluation of the POP-UP programme: a multicomponent model of care for people living with HIV with homelessness or unstable housing
.
AIDS
 
2021
;
35
:
1241
6
.

46

Dombrowski
 
JC
,
Ramchandani
 
M
,
Dhanireddy
 
S
,
Harrington
 
RD
,
Moore
 
A
,
Golden
 
MR
.
The Max clinic: medical care designed to engage the hardest-to-reach persons living with HIV in Seattle and King County, Washington
.
AIDS Patient Care STDS
 
2018
;
32
:
149
56
.

Author notes

Potential conflicts of interest. D. W. reports previous ad hoc consulting with Sanofi Pasteur, unrelated to this work. All other authors report no potential conflicts.

This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact [email protected] for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact [email protected].

Supplementary data

Comments

0 Comments
Submit a comment
You have entered an invalid code
Thank you for submitting a comment on this article. Your comment will be reviewed and published at the journal's discretion. Please check for further notifications by email.