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. 2021 Feb 15;21:354. doi: 10.1186/s12889-021-10223-y

Use of multiple recreational drugs is associated with new HIV infections among men who have sex with men in China: a multicenter cross-sectional survey

Xiang Mao 1,2,3,4, Sequoia I Leuba 5, Qinghai Hu 1,2,3,4, Hongjing Yan 6, Zhe Wang 7, Lin Lu 8, Minghua Zhuang 9, Xi Chen 10, Jihua Fu 11, Wenqing Geng 1,2,3,4, Yongjun Jiang 1,2,3,4, Hong Shang 1,2,3,4,, Junjie Xu 1,2,3,4,
PMCID: PMC7885486  PMID: 33588816

Abstract

Background

There is limited information about the types of recreational drugs used by men who have sex with men (MSM) in China or the consequent impact on sexual health and human immunodeficiency virus (HIV) acquisition.

Methods

We recruited MSM from seven cities in China between 2012 and 2013 using multiple approaches including advertisements on gay websites, collaborating with local MSM community-based organizations, peer referrals, and venues such as gay bars and bathrooms visited by MSM. We divided participants into four subgroups based on the number of recreational drugs (RDs) used in the previous 6 months. We defined use of multiple RDs as use of ≥2 types of RDs. Demographics and HIV-related high-risk behaviors were collected, and blood samples were tested for recent HIV infection by the HIV-1 subtypes B, E, and D immunoglobulin G capture enzyme immunoassay (BED-CEIA). We used multivariable logistic regression adjusted for sociodemographics to determine the adjusted odds ratios (aORs) and associated 95% confidence intervals (CIs) of the subgroups of RD use for recent or established HIV infection.

Results

A total of 4496 Chinese MSM participated; 28.4% used RDs, and 5% used multiple types of RDs. The prevalence of each RD use was as follows: poppers (25.9%), ecstasy (2.4%), ketamine (1.2%), amphetamine (0.6%), tramadol (0.4%), methamphetamine (3.8%), and codeine (1.9%). Users of multiple RDs commonly used poppers combined with one or more other types of RDs. Multiple RD users were likely to be aged 26–30 years (vs. 18–25 and > 30 years), live in non-local cities (vs. local cities), never married (vs. married), have a high monthly income (vs. no income and 1–599 USD), use versatile positions during anal intercourse (vs. top or bottom), and have inadequate HIV-related prevention knowledge (vs. adequate). As the number of RDs used in the previous 6 months increased, the prevalence of HIV-related high-risk behaviors increased (P < 0.05 for all). The odds of recent HIV infection were higher among those who used one type (aOR = 2.2, 95% CI: 1.5–3.0) or two types of RD (aOR=2.3, 95% CI: 1.0-5.2) in the previous 6 months compared to the odds among those who did not use RDs.

Conclusion

The level and pattern of multiple RD use among Chinese MSM were different from high-income countries. MSM who used more RDs are more likely to engage in high-risk sexual behaviors, and these behaviors may be associated with increases in new HIV infections.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-10223-y.

Keywords: Recreational drug use, multiple recreation drug use, Chinese MSM, Recent HIV infection, HIV-related high-risk behaviors

Background

Men who have sex with men (MSM) experience a disproportionately high burden of human immunodeficiency virus (HIV) infection [1]. The use of recreational drugs (RDs) among this population is a severe public health concern in China and elsewhere [24]. Unlike traditional drugs such as heroin and opium, ecstasy and methamphetamine are stimulants synthesized in laboratories. Most RDs have hallucinogenic effects and are associated with psychological dependence. RDs are challenging to quit, and excessive ingestion leads to severe consequences such as sudden death. Therefore, RDs are expressly prohibited in China [5]. At the end of the twentieth century, RD use was widespread among MSM in high-income countries [6]. This phenomenon is currently expanding to MSM communities in China and other low-to-middle income countries [3, 79]. RDs can enhance sexual function [10], increase sexual pleasure [11], and decrease pain during anal intercourse [12]. However, RD use has been reported to correlate with high-risk sexual behaviors and increased risk of HIV infection [1113].

In this context, use of multiple RDs refers to using several RDs simultaneously or during the same period to achieve a particular effect. Use of multiple RDs and its correlation with HIV infection has attracted worldwide attention. Use of multiple drugs compared to use of a single drug is more likely to be associated with the transmission of HIV or other sexually transmitted infections (STIs) [14]. The use of multiple RDs alters the user’s mental state and decreases cognitive inhibition [15]. This behavior leads to an increased prevalence of condomless sex (CLS), CLS with HIV-positive partners, group sex, and increased numbers of sexual partners among MSM [16, 17]. Compared with using a single RD, any combination of psychoactive drugs (e.g., methamphetamine, ecstasy) and physiologically active substances (e.g., poppers, erectile-dysfunction agents) can increase the risk of HIV acquisition dramatically [18].

Despite the severity of this problem, most research on the use of multiple RDs has been performed in high-income countries [2, 17]. Because of political, legal, and cultural differences, these studies’ results may be generalizable to low-to-middle income countries [8, 19]. Furthermore, HIV incidence among MSM is higher in low-to-middle income countries than in high-income countries [20], suggesting a need to study the effects of RD use on recent HIV infection in low-to-middle income countries.

China is the largest low-to-middle income country in the world. The HIV prevalence among Chinese MSM was 6.9% in 2019 [1, 21]. By the end of 2017, there were 2.6 million drug addicts nationwide [22]. The RD use rate among Chinese MSM ranged from 24.1 to 77.1% [2325]. Thus, it is imperative to understand the relationship between the use of multiple RDs and recent HIV infection among Chinese MSM to develop tailored interventions that limit RD use, specifically in the hopes of mitigating the HIV epidemic. The present study aims to provide researchers and clinicians with information about patterns of use of RDs among Chinese MSM and illustrate the impact of use of multiple RDs on HIV-related high-risk behaviors and HIV acquisition.

Methods

Study participants and questionnaire

To better understand the HIV epidemic among Chinese MSM, we conducted a multicenter cross-sectional survey among Chinese MSM in seven large cities in China (Shenyang, Ji’nan, Zhengzhou, Shanghai, Nanjing, Changsha, and Kunming) from June 2012 to June 2013. The Cruising areas and service points for MSM were used as the sampling sites. Site-specific sampling periods were determined based on attendance and hours of operation. We used several approaches to recruit participants: advertisements on gay websites, collaboration with local MSM community-based organizations, peer referrals, and venues such as gay bars and bathrooms visited by MSM. To be eligible for this study, participants had to be born male, aged 16 years or older, self-reported having anal/oral sex experiences with a male within the last year, and able to provide informed consent.

Eligible participants completed an anonymous structured questionnaire concerning sociodemographics, recent sexual behaviors, and other HIV-related high-risk behaviors: (1) demographics: age, residence, city, education, occupation, marital status, monthly income (USD), and predominant sex position in anal intercourse (AI); (2) recent sexual behaviors or HIV-related high-risk behaviors: age of sexual debut with males, the main venue of seeking male sexual partners in the previous 6 months, group sex in the previous 6 months, number of male sexual partners in the previous 6 months, commercial sex in the previous 6 months, mucosally traumatic sex in the previous 6 months, condom breaks during AI in the previous 6 months, STI-related symptoms in the previous year, and non-Chinese male sexual partners in the previous 6 months (Additional file 1).

Nine relevant questions assessed knowledge of prevention of HIV infection. If the participant answered all questions correctly, we defined them as having an “adequate” knowledge towards the prevention of HIV infection. The questions were as follows: (1) Is it possible for a person who looks healthy to carry HIV? (2) Is it possible to be infected with HIV through transfusion of blood or blood products with HIV? (3) Is it possible to be infected through sharing needles with HIV-infected persons or Acquired Immunodeficiency Syndrome (AIDS) patients? (4) Can the proper use of condoms in each sexual activity reduce the risk of HIV transmission? (5) Can having sex with only a single HIV-uninfected sexual partner reduce the risk of HIV transmission? (6) Can an HIV-infected pregnant woman transmit HIV to her child? (7) Is it possible to be infected through eating with HIV-infected persons or AIDS patients? (8) Is it possible to be infected through mosquito bites? and (9) If you know or suspect that your partner has AIDS, will you stop having sex with him?

Participants were asked about their use (nonmedical or recreational) of seven commonly used RDs at parties or during sexual contact in the previous 6 months: poppers, ecstasy, methamphetamine, amphetamine, codeine, tramadol, and ketamine. We grouped participants based on the number of drugs used in the previous 6 months (i.e., no drug, single drug (1DUs), two types of drugs (2DUs), and ≥ 3 types of drugs (3DUs)). Use of multiple RDs was defined as use of ≥2 types of drugs in the previous 6 months.

Laboratory testing

Samples of venous blood were collected from participants to diagnose HIV-1 antibodies. HIV-1 antibodies were detected using enzyme-linked immunosorbent assay [ELISA] (bioMerieux, Durham, NC, USA), and HIV-seropositive specimens were confirmed by western blotting [WB] (HIV Blot 2.2 WBTM, Genelabs Diagnostics, Singapore). The antibody test for HIV was conducted in provincial HIV laboratories of the Chinese Center for Disease Control and Prevention to which the seven study sites were affiliated. These WB-positive samples were tested using HIV-1 subtypes B, E, and D immunoglobulin G (IgG)-capture enzyme immunoassay [BED-CEIA] (Calypte Biomedical Corporation, Rockville, MD, USA) at the Key Laboratory of HIV/AIDS in Shenyang, China. Based on the measurement of HIV-1-specific IgG to total IgG after seroconversion, BED-CEIA distinguished between recent and established HIV-1 infections [26, 27]. To test cross-sectional specimens, we followed the algorithm shown in Fig. 1. The calibrator (CAL) and control (including high-positive control, low-positive control, and negative control) specimens were tested in triplicate on each plate, and median values were used to calculate the normalized OD (optical density) (ODn; ODn = specimen OD/calibrator OD). Specimens with initial ODn > 1.2 were classified as established infection. Specimens with initial ODn ≤1.2 were tested again in triplicate to confirm their ODn values using the median values of the three obtained values. During the retesting, if median ODn values were < 0.8, the specimens were considered to be recently infected [28].

Fig. 1.

Fig. 1

Algorithm for testing cross-sectional specimens to distinguish between established and recent HIV-1 infection. Abbreviations: OD = optical density

Statistical analyses

We used the chi-square test to determine the significance of differences in sociodemographics of the various subgroups of RD use. We then used the Cochran–Armitage trend test to analyze the association between different subgroups and sociodemographics. We calculated the prevalence, prevalence ratios and 95% confidence intervals of nine defined HIV-related high-risk behaviors for each subgroup of RD use. An alpha of 0.05 was considered statistically significant. The HIV incidence was estimated using a formula to adjust for sensitivity/specificity, and the time window to define recent HIV infection was up to 168 days. The formula and parameters were recommended by the Chinese Center for Disease Control and Prevention [29]. We then used multivariable logistic regression to determine the adjusted odds ratios (aOR) and respective 95% confidence intervals (CIs) of the various subgroups for recent or established HIV infection as defined by the BED-CEIA, adjusting for sociodemographics. Statistical analyses were carried out using SAS 9.2 (SAS Institute, Cary, NC, USA) and STATA 13.0 (Stata Corporation, College Station, TX, USA).

Results

Prevalence and patterns of use of multiple RDs

In total, 4496 MSM participated in our study. The mean age and standard deviation were 30.2 ± 5.6 years, and 1275 (28.4%) reported using RDs in the previous 6 months. Of these, 82.4% (n = 1050, 23.4% of all participants) used one type of RD (1DUs), 12.2% (n = 155, 3.4% of all participants) used two types of RDs (2DUs), and 5.5% (n = 70, 1.6% of all participants) used ≥3 types of RDs (3DUs). The prevalence of each unique RD use was as follows: poppers (25.9%), ecstasy (2.4%), ketamine (1.2%), amphetamine (0.6%), tramadol (0.4%), methamphetamine (3.8%) and codeine (1.9%).

Among 1DUs, most used poppers (90.9%), followed by codeine (3.2%) and methamphetamine (2.8%). Among 2DUs, 91.6% used poppers, 57.4% used methamphetamines, and 23.9% used ecstasy. Among 3DUs, 95.7% used poppers, 74.3% used methamphetamines, and 71.4% used ecstasy. Among all participants, 5.0% (n = 225, 17.6% of RD users) used two or more RDs (i.e., use of multiple types of RDs). These who used multiple types of RDs commonly took poppers accompanied by one or more types of other RDs (e.g., methamphetamine) (Fig. 2).

Fig. 2.

Fig. 2

Prevalence of a specific RD use in the previous 6 months among different subgroups of RD use (N = 4496). 1DUs: One type of RD used in the previous 6 months; 2DUs: Two types of RDs used in the previous 6 months; 3DUs: Three or more types of RDs used in the previous 6 months. Out of the 4496 MSM participants, 1050 participants used one type of RD in the previous 6 months (Panel A), 155 used two types of RDs in the previous 6 months (Panel B), and 70 used three or more types of RDs in the previous 6 months (Panel C). The prevalence of the types of most common combinations of RD use are also listed above

Characteristics of the use of multiple types of RDs

We detected a higher prevalence of RDs use in the previous 6 months among MSM aged 26–30 years (vs. 18–25 and > 30 years; 39.0%), among participants who were internal migrants (vs. local cities; 30.1%), among those who never married (vs. married; 31.4%), for those who had a monthly income of ≥600 USD (vs. no income and 1–599 USD; 35.4%), among those who used several positions during anal intercourse (vs. top or bottom only; 32.2%), and among those with inadequate knowledge towards HIV-prevention (vs. adequate; 31.8%). The proportions of these sociodemographics associated with higher prevalence of RD use increased significantly as the number of RDs used in the previous 6 months increased (P < 0.05 for trend). Although participants who completed junior school or below had the lowest prevalence for the use of one type of RD in the previous 6 months (18.4%), the prevalence of use of two or more types of RDs in the previous 6 months was significantly higher than (8%) (Table 1).

Table 1.

Distribution of sociodemographics among different subgroups of RD use (N = 4496)

N 0DUs (n = 3221) 1DUs (n = 1050) 2DUs (n = 155) 3DUs (n = 70) P for trend
Age (years)
 18–25 1617 1123 412 59 23 0.087
 26–30 1181 721 375 63 22 < 0.001
  > 30 1698 1377 263 33 25 < 0.001
Residence
 Local cities 1785 1327 385 45 28 0.002
 Non-local cities 2711 1894 665 110 42 0.002
Education
 Junior school or below 916 674 169 45 28 0.17
 High school 1201 877 269 37 18 0.227
 College or above 2379 1670 612 73 24 0.972
Marital status
 Never married 3303 2266 860 129 48 < 0.001
 Married 1193 955 190 26 22 < 0.001
Occupation
 Student 565 418 127 16 4 0.058
 Non-student 3931 2803 923 139 66 0.058
Monthly income (USD)
 No income 769 591 146 25 7 0.001
 1–599 2858 2069 658 94 37 0.042
  ≥ 600 869 561 246 36 26 < 0.001
Primary sex position during AIa
 Top 1395 1053 291 34 17 < 0.001
 Bottom 988 725 222 31 10 0.067
 Versatile 2022 1371 527 82 42 < 0.001
Knowledge of HIV prevention
 Inadequate 2730 1861 676 128 65 < 0.001
 Adequate 1766 1360 374 27 5 < 0.001

0DUs No RDs used in the previous 6 months, 1DUs One type of RD used in the previous 6 months, 2DUs Two types of RDs used in the previous 6 months, 3DUs Three or more types of RDs used in the previous 6 months, AI anal intercourse. The P for the trend of sociodemographics in different subgroups was determined using the Cochran–Armitage trend test a. Ninety-one participants did not respond to this variable on the questionnaire

Characteristics of HIV-related high-risk behaviors

For almost all the HIV-related high-risk behaviors examined (e.g., seeking male sexual partners through the Internet in the previous 6 months, having group sex in the previous 6 months), the prevalence of HIV-related high-risk behavior was higher among those who used RDs in the previous 6 months than in those who did not. There was a significant association between HIV-related high-risk behavior and RD subgroup (P < 0.05 for all). In general, the prevalence of HIV-related high-risk behaviors increased as the number of RDs used in the previous 6 months increased (Table 2).

Table 2.

Prevalence and adjusted prevalence ratios of HIV-related high-risk behaviors among different subgroups of RD use (N = 4496)

HIV-related high-risk behaviors n/N Prevalence P Adjusted prevalence ratiosa
% (95% CI) (95% CI)
Age of sexual debut with males ≤ 20 years < 0.001
 0DUs 1476/3219 45.9 (44.1–47.6) 1
 1DUs 576/1049 54.9 (51.9–57.9) 1.2 (1.0–1.4)
 2DUs 105/155 67.7 (60.3–75.2) 1.6 (1.1–2.4)
 3DUs 45/70 64.3 (52.8–75.8) 1.6 (0.9–2.8)
Seeking male sexual partners through the Internet in the previous 6 months < 0.001
 0DUs 2091/3221 64.9 (63.3–66.6) 1
 1DUs 811/1050 77.2 (74.7–79.8) 1.6 (1.3–1.9)
 2DUs 107/155 69.0 (61.7–76.4) 1.4 (0.9–2.0)
 3DUs 46/70 65.7 (54.3–77.1) 1.5 (0.9–2.5)
Had group sex in the previous 6 months < 0.001
 0DUs 112/3221 3.5 (2.8–4.1) 1
 1DUs 55/1050 5.2 (3.9–6.6) 1.8 (1.2–2.5)
 2DUs 6/155 3.9 (0.8–6.9) 2.3 (0.9–5.9)
 3DUs 10/70 14.3 (5.9–22.7) 5.8 (2.4–14.4)
Had more than two male sexual partners in the previous 6 months < 0.001
 0DUs 1184/3220 36.8 (35.1–38.4) 1
 1DUs 490/1047 46.8 (43.8–49.8) 1.6 (1.3–1.8)
 2DUs 77/155 49.7 (41.7–57.6) 1.3 (0.9–1.9)
 3DUs 34/70 48.6 (36.6–60.6) 1.3 (0.8–2.1)
Had commercial sex in the previous 6 months < 0.001
 0DUs 258/3221 8.0 (7.1–8.9) 1
 1DUs 136/1050 13.0 (10.9–15.0) 1.2 (0.9–1.5)
 2DUs 49/155 31.6 (24.2–39.0) 2.0 (1.3–3.0)
 3DUs 16/70 22.9 (12.8–32.9) 1.3 (0.7–2.5)
Had mucosally traumatic sex in the previous 6 months 0.002
 0DUs 459/3221 14.3 (13.0–15.5) 1
 1DUs 201/1050 19.1 (16.8–21.5) 1.4 (1.2–1.8)
 2DUs 22/155 14.2 (8.6–19.7) 2.8 (1.5–5.1)
 3DUs 13/70 18.6 (9.2–27.9) 1.9 (0.9–4.0)
Had a condom break during AI in the previous 6 months 0.006
 0DUs 255/3221 7.9 (7.0–8.8) 1
 1DUs 109/1050 10.4 (8.5–12.2) 1.3 (1.0–1.7)
 2DUs 14/155 9.0 (4.5–13.6) 2.3 (1.2–4.4)
 3DUs 12/70 17.1 (8.1–26.2) 2.6 (1.2–5.6)
Had STI-related symptom in the previous year < 0.001
 0DUs 169/3221 5.2 (4.5–6.0) 1
 1DUs 81/1050 7.7 (6.1–9.3) 1.7 (1.3–2.3)
 2DUs 15/154 9.7 (5.0–14.5) 2.4 (1.3–4.5)
 3DUs 11/70 15.7 (7.0–24.5) 3.3 (1.6–6.8)
Had non-Chinese male sexual partner in the previous 6 months 0.039
 0DUs 30/2668 1.1 (0.7–1.5) 1
 1DUs 17/867 2.0 (1.0–2.9) 2.4 (1.2–4.5)
 2DUs 5/138 3.6 (0.5–6.8) 10.0 (3.1–31.9)
 3DUs 1/51 2.0 (0.0–5.9) 6.6 (0.7–59.1)

0DUs No RDs used in the previous 6 months, 1DUs One type of RD used in the previous 6 months, 2DUs Two types of RDs used in the previous 6 months, 3DUs Three or more types of RDs used in the previous 6 months, AI anal intercourse; Commercial sex: buying or selling sex services, including anal intercourse or oral intercourse; STI-related symptoms: abnormal pain or burning sensation upon micturition, urethra secretion, genital/anal skin damage, or hyperplasia; Mucosally traumatic sex: Mucosally traumatic sex means sexual intercourse especially anal intercourse sometimes may be rougher or last for longer and caused vagina, anus, or rectum mucosal trauma, which could facilitate HIV/STIs transmission. The table includes information only for participants who answered a specific question so that sample sizes may differ because of missing data. Unadjusted P-values were calculated by the chi-squared test. a: Adjusted prevalence ratios were calculated through multivariable log-binomial regression adjusting for the following sociodemographics: study site (Shanghai, Nanjing, Changsha, Zhengzhou, Ji’nan, Shenyang, and Kunming), age (18–25, 26–30, and > 30 years), residence (local cities and non-local cities), education (junior school or below, high school, and college or above), marital status (never married and married), occupation (student and non-student), monthly income (no income, 1–599, and ≥ 600 USD), primary sex position during AI (top, bottom, and versatile), and knowledge of HIV prevention (inadequate and adequate)

Prevalence and incidence of HIV based on RD use

The HIV prevalence (13.7, 95% CI: 11.7–15.9 vs. 8.8, 95% CI: 7.8–9.8) and HIV incidence [13.1 infections per 100 person-years, 95% CI: 9.8–16.3 vs. 7.7 infections per 100 PY, 95% CI: 6.3–9.1] were higher among 1DUs than among participants who did not use RDs in the previous 6 months. By contrast, the HIV prevalence (8.4, 95% CI: 4.5–13.9; 7.1, 95% CI: 2.4–15.9) and HIV incidence (9.7 infections per 100 PY, 95% CI: 2.5–16.9; 2.4 infections per 100 PY, 95% CI: − 2.3–7.0) in 2DUs and 3DUs were not significantly higher compared to those who did not use RDs or used one RD in the previous 6 months (Table 3).

Table 3.

HIV prevalence and BED-CEIA-based HIV incidence among Chinese MSM participants (N = 4496)

Total HIV infection HIV recent infection HIV established infection HIV prevalence (%) (95% CI)a HIV incidence (per 100 PY) (95% CI)b
Subgroups of RD use 4496 444 186 250 9.9 (9.0–10.8) 8.9 (7.6–10.2)
0DUs 3221 282 116 161 8.8 (7.8–9.8) 7.7 (6.3–9.1)
1DUs 1050 144 62 79 13.7 (11.7–15.9) 13.1 (9.8–16.3)
2DUs 155 13 7 6 8.4 (4.5–13.9) 9.7 (2.5–16.9)
3DUs 70 5 1 4 7.1 (2.4–15.9) 2.4 (−2.3 to 7.0)

0DUs No RDs used in the previous 6 months, 1DUs One type of RD used in the previous 6 months, 2DUs Two types of RDs used in the previous 6 months, 3DUs Three or more types of RDs used in the previous 6 months. aHIV prevalence was calculated from all HIV infections (i.e., recent and established) diagnosed through the study. The BED-CEIA could not be conducted on samples from eight HIV antibody-positive participants because of insufficientblood specimens. bThe HIV incidence determined using the BED-CEIA was then adjusted using the sensitivity and specificity adjustment formula and parameters recommended by the Chinese Center for Disease Control and Prevention

Association between RD use and HIV infection

After adjusting for sociodemographics, 1DUs had higher odds of established HIV infection (aOR = 2.1, 95% CI: 1.5–2.8) and higher odds of recent HIV infection (aOR = 2.2, 95% CI: 1.5–3.0) than those who did not use RDs. 2DUs also had higher odds of recent HIV infection (aOR = 2.3, 95% CI: 1.0–5.2) than those who did not use RDs. In contrast, 2DUs and 3DUs did not have significantly higher odds of established HIV infection than those who did not use RDs (Table 4).

Table 4.

Adjusted odds ratios for recent or established HIV infections stratified by RD use subgroup (N = 4488)a

Subgroups of RD use Total Recent HIV infection (N = 186) Established HIV infection (N = 250)
n (%) Adjusted modelb P n (%) Adjusted modelb P
aOR (95% CI) aOR (95% CI)
0DUs 3216 116 (3.6) 1 161 (5.0) 1
1DUs 1047 62 (5.9) 2.2 (1.5–3.0) < 0.001 79 (7.5) 2.1 (1.5–2.8) < 0.001
2DUs 155 7 (4.5) 2.3 (1.0–5.2) 0.054 6 (3.9) 1.4 (0.6–3.4) 0.433
3DUs 70 1 (1.4) 0.8 (0.1–5.8) 0.809 4 (5.7) 1.9 (0.6–5.4) 0.247

0DUs No RDs used in the previous 6 months, 1DUs One type of RD used in the previous 6 months, 2DUs Two types of RDs used in the previous 6 months, 3DUs Three or more types of RDs used in the previous 6 months. aRecent and established infections were determined using the BED-CEIA. The BED-CEIA could not be conducted on samples from eight HIV antibody-positive participants because of insufficient blood specimens. bAdjusted odds ratios (aOR) and the corresponding 95% CI were derived through multivariable logistic regression analysis with adjustment for the following social demographics: study site (Shanghai, Nanjing, Changsha, Zhengzhou, Ji’nan, Shenyang, and Kunming), age (18–25, 26–30, and > 30 years), residence (local cities and non-local cities), education (junior school or below, high school, and college or above), marital status (never married and married), occupation (student and non-student), monthly income (no income, 1–599, and ≥ 600 USD), primary position during AI (top, bottom, and versatile), and knowledge of HIV prevention (inadequate and adequate)

Discussion

We examined patterns of use of RDs among Chinese MSM and the impact of such RD use on HIV-related high-risk behaviors and HIV acquisition. We found that the prevalence of use of multiple RDs among Chinese MSM (5.0%) was lower than the reported prevalence of use of multiple RDs among MSM in western high-income countries (11.8%) [2]. Chinese MSM who used multiple RDs frequently used poppers along with one or more types of other RDs. As the number of RDs used in the previous 6 months increased, the prevalence of various HIV-related high-risk behaviors also increased. The odds of recent HIV infection were higher among those who used RDs in the previous 6 months than among those who did not. These data suggest that those who use multiple RDs are substantially more likely to engage in risky sexual behaviors and may have a higher risk of HIV acquisition.

Our findings expand the understanding of the RD use in MSM in a low-to-middle income country and the relationship of multiple RD use with HIV infection. Previous studies showed correlations between RD use and HIV-related high-risk behaviors among MSM [6, 30]. Our study confirmed those results and found that the increase in the number of RDs used was associated with an increase in the prevalence of HIV-related high-risk behaviors. A similar finding was documented among HIV-positive MSM in the United Kingdom [16]; however, until now, this relationship has not been examined in a low-to-middle income country. In contrast with patterns of use of multiple RDs among MSM in high-income countries who frequently use [16, 17, 31], Chinese MSM frequently use poppers. We found that 90% of MSM used poppers, and those who used multiple RDs frequently used poppers and one or more types of other RDs (i.e., methamphetamine, ecstasy, codeine, or ketamine). Poppers are physiologically active substances that facilitate and enhance anal intercourse [2, 12]. They do not directly affect mental function or decision-making [32]. However, when poppers were used with other psychoactive drugs [2] such as methamphetamine, ecstasy, or ketamine, the prevalence of HIV-related high-risk behaviors increased significantly (Table 2). Most psychoactive drugs are stimulants and, thus, can alter the mental state [15], cause loss of muscle control [15], enhance sexual desires/sexual functions, and affect risk perception and decision-making [10, 11]. If psychoactive drugs are used simultaneously with poppers (which relax the anal-sphincter muscles and reduce pain), MSM can experience more serious sexual disinhibition and, thus, anal intercourse may be more robust or last longer, leading to increased risk of HIV infection [32]. This pattern of use of multiple RDs is widespread among Chinese MSM and was associated with more HIV-related high-risk behaviors in our study. Scholars also found that using poppers with methamphetamine or amphetamine was associated with more unprotected sex acts [33] and, hence, was linked to a higher risk of HIV seroconversion [34, 35].

The proportion of HIV-related high-risk behaviors increased as the number of RDs used in the previous 6 months increased. However, possible relationship between HIV-related high-risk behaviors, the number of RDs used, and HIV infections are not clear. When we subdivided diagnosed HIV infections into recent and established HIV infections based on the BED-CEIA, we found a significant relationship between higher odds of recent HIV infection and one type of RD used or two types of RD used compared with no RD used in the previous 6 months. While we did not find a significant relationship between higher odds of recent HIV infection and 3DUs compared to those who did not use RDs, this finding could have been due to our small sample size and low statistical power to detect the differences in our aOR estimates. In contrast, we found a significant relationship between established HIV infection and one type of RD used in the previous 6 months compared with no RD use. This result suggests that RDs used in the previous 6 months were associated in particular with recent HIV infection. This may have been because those use multiple RDs are less risk-averse and more likely to engage in more risky sexual behaviors and, thus, may have higher risk of new HIV infections. [41, 42] Several longitudinal studies found similar associations between the use of multiple RDs and recent HIV seroconversion [18, 36]. Newly infected individuals have high levels of viral load in plasma and few pronounced symptoms and are highly infectious; However, identifying newly infected individuals is difficult [37, 38]. MSM in this HIV seroconversion period have been found to participate frequently in HIV-related high-risk behaviors [38]. Thus, those who use multiple RDs likely take more sexual risks and therefore may have an increased risk of secondary HIV transmission.

Although the prevalence of use of multiple RDs among Chinese MSM in our study was lower than the prevalence among MSM reported in high-income countries (5.0% vs. 11.8%) [2], the actual prevalence of use of multiple RDs of Chinese MSM may have been underestimated. First, most RDs are illegal in China, so participants may have been afraid of the repercussions of answering honestly about their use of multiple RDs. To address these fears, we used an anonymous survey to minimize this social desirability bias. Second, we investigated only the seven most commonly used RDs among Chinese MSM. There are many more RD used by MSM that we did not address in this study.

We elucidated the characteristics and possible mechanisms of HIV transmission among Chinese MSM who use RDs. We undertook this study in the hope of developing targeted interventions to address the HIV epidemic. We found that participants aged 26–30 years had a higher prevalence of overall RD use in the previous 6 months (39.0%) and use of multiple RDs in the previous 6 months (7.2%) compared with any other age group examined. The number of identified HIV/AIDS cases among MSM aged 26–30 years in China increased rapidly from 2007 to 2015 [39]. Mao and colleagues found a high HIV incidence (~ 9 infections per 100 PY) among Chinese MSM aged 26–30 years [40]. RD use was associated with behaviors that increase the risk of HIV, suggesting that tailored methods reducing RD use implemented among Chinese MSM 26–30 years old could reduce the risk of HIV acquisition. We also found an association between inadequate knowledge of HIV prevention and an increase in the number of RDs used in the previous 6 months, suggesting that strategies focused on increasing positive attitude towards prevention of HIV infection should be targeted at those who use multiple RDs. Finally, many Chinese MSM in our study used poppers, which may have been due to the ease of buying this drug as it is legal in China [19]. We suggest that the Chinese government restrict the sale of poppers to reduce RD use and decrease the effect of RD use on HIV transmission.

One limitation or our study was the few participants who self-reported using multiple types of RDs (5.0%). The few participants in this category likely reduced the power of our study to detect differences in the different drug use sub-groups. We also did not collect the link-to-care details of the participants diagnosed with HIV in this study. However, China has already established a standard procedure for individuals diagnosed with HIV to obtain free antiretroviral therapy (ART) treatment and follow-up testing. Once a person was diagnosed with HIV in this study, the local Chinese Center for Disease Control and Prevention would refer him to the local infectious disease hospital to obtain free ART treatment. The government would allocate ART treatment medications and pay for the costs of follow-up tests.

Conclusions

Chinese MSM who used multiple RDs frequently used poppers along with one or more types of other RDs. The proportion of HIV-related high-risk behaviors increased as the number of RD used in the previous 6 months increased. Using one or two types of RDs was associated with increased odds of recent HIV infection among Chinese MSM compared to the odds of those who did not use RDs. Therefore, the use of several types of RDs is likely associated with new HIV infections. Strategies focusing on decreasing RD use among Chinese MSM and increased governmental control of RDs could reduce drug use and mitigate the HIV epidemic in China.

Supplementary Information

12889_2021_10223_MOESM1_ESM.docx (18.4KB, docx)

Additional file 1. Questionnaire developed for this study

Acknowledgements

Not Applicable.

Abbreviations

MSM

Men who have sex with men

HIV

Human immunodeficiency virus

RDs

Recreational drugs

HIV-HRBs

HIV high-risk behaviors

CLS

Condomless sex

WB

Western blotting

BED-CEIA

Immunoglobulin G (IgG)-capture BED-enzyme immunoassay

CIs

Confidence intervals

AORs

Adjusted odds ratios

ORs

Odds ratios

1DUs

Users of one type of RD

2DUs

Users of two types of RDs

3DUs

Users of three or more types RDs

Authors’ contributions

Conception and design of experiments: XM, HS, JJX, QHH; carried out the study and experiments: HJY, ZW, LL, MHZ, XC, JHF, WQG, YJJ; analyzed the data: XM, QHH, JJX; wrote and revised the manuscript: XM, SIL, JJX. All authors reviewed the manuscript.

Funding

This study was funded by the Mega-Projects of National Science Research (13th Five-Year Plan [2017ZX10201101–002-007]) and National Natural Science Foundation of China (81872674), National Science and Technology Major Project (2018ZX10101–001–001-003), and Central Public-Interest Scientific Institution Basal Research Fund of Chinese Academy of Medical Sciences (2018PT31042). The funding bodies played no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.

Availability of data and materials

Data on this research is available with the corresponding author.

Ethics approval and consent to participate

The Ethics Review Board approved the study protocol of the First Affiliated Hospital of China Medical University ([2011]-36; Shenyang, China). The study was undertaken following all relevant guidelines and regulations. Written informed consent was obtained from all participants before study commencement.

The participants included in this study gave their consent for using anonymized direct quotes in this manuscript.

Competing interests

The authors declare that they have no conflict of interest.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Xiang Mao, Email: maxx2003@live.cn.

Sequoia I. Leuba, sequoia8@email.unc.edu

Qinghai Hu, Email: qinghaihucn@163.com.

Hongjing Yan, Email: yanhj@jscdc.cn.

Zhe Wang, Email: wangzhe@hncdc.com.cn.

Lin Lu, Email: lulin@yncdc.cn.

Minghua Zhuang, Email: zhuangminghua@scdc.sh.cn.

Xi Chen, Email: Chenxi161@sohu.com.

Jihua Fu, Email: fujihua@163.com.

Wenqing Geng, Email: windygeng@163.com.

Yongjun Jiang, Email: jiang_yongjun_jc@hotmail.com.

Hong Shang, Email: hongshang100@hotmail.com.

Junjie Xu, Email: xjjcmu@163.com.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

12889_2021_10223_MOESM1_ESM.docx (18.4KB, docx)

Additional file 1. Questionnaire developed for this study

Data Availability Statement

Data on this research is available with the corresponding author.


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