| Literature DB >> 35489180 |
Erica McAdam1, Kanna Hayashi2, Huiru Dong3, Zishan Cui4, Kali-Olt Sedgemore5, Paul Dietze6, Paige Phillips7, Dean Wilson3, M-J Milloy4, Kora DeBeck8.
Abstract
OBJECTIVES: Driven by an increasingly toxic drug supply, drug toxicity deaths in the United States and Canada have risen to unprecedented levels during the COVID-19 pandemic. This study aimed to characterize the prevalence of and the factors associated with a perceived decline in the quality of drugs during the COVID-19 pandemic among community-recruited cohorts of PWUD in Vancouver, Canada.Entities:
Keywords: COVID-19; Crystal methamphetamine; Drug overdose; Fentanyl; Injection drug use; Toxic drug supply
Mesh:
Year: 2022 PMID: 35489180 PMCID: PMC9043624 DOI: 10.1016/j.drugalcdep.2022.109471
Source DB: PubMed Journal: Drug Alcohol Depend ISSN: 0376-8716 Impact factor: 4.852
Bivariate and multivariate logistic regression analysis of factors associated with reporting a perceived decline in the quality of drugs during the COVID-19 pandemic among PWUD in Vancouver, Canada (n = 738).
| Reduction in Drug Quality | ||||||
|---|---|---|---|---|---|---|
| Characteristic | Yes | No | Odds Ratio (95% CI) | Adjusted Odds Ratio (95% CI) | ||
| Age† (median, IQR) | 45.2 (32.6–54.5) | 44.6 (31.4–55.4) | 1.00 (0.99 – 1.01) | 0.754 | ||
| Cohort | ||||||
| ACCESS | 85 (31.3) | 137 (29.4) | 0.93 (0.75–1.15) | 0.492 | ||
| ARYS | 72 (26.5) | 161 (34.6) | 1.29 (1.03–1.60) | 0.026 | ||
| VIDUS | 115 (42.3) | 168 (36.1) | ||||
| Self-identified gender | ||||||
| Male | 140 (55.1) | 282 (63.2) | 0.71 (0.52–0.98) | 0.035 | ||
| Female or.other‡ | 114 (44.9) | 164 (36.8) | ||||
| Ethnicity | ||||||
| BIPOC | 164 (64.6) | 275 (61.9) | 1.12 (0.81–1.54) | 0.489 | ||
| White | 90 (35.4) | 169 (38.1) | ||||
| Homelessness* | ||||||
| Yes | 51 (19.0) | 63 (13.6) | 1.49 (0.99 – 2.23) | 0.055 | ||
| No | 218 (81.0) | 400 (86.4) | ||||
| DTES residency* | ||||||
| Yes | 127 (46.7) | 212 (45.5) | 1.05 (0.78 – 1.42) | 0.753 | ||
| No | 145 (53.3) | 254 (54.5) | ||||
| Employment* | ||||||
| Yes | 101 (37.1) | 163 (35.1) | 1.09 (0.80 – 1.49) | 0.570 | ||
| No | 171 (62.9) | 302 (65.0) | ||||
| Yes | 153 (56.3) | 165 (35.6) | 2.32 (1.71–3.15) | < 0.001 | 1.94 (1.40–2.71) | < 0.0001 |
| No | 119 (43.8) | 298 (64.4) | ||||
| Yes | 21 (7.8) | 32 (6.9) | 1.13 (0.64–2.00) | 0.678 | ||
| No | 250 (92.3) | 430 (93.1) | ||||
| Yes | 75 (27.7) | 93 (20.1) | 1.52 (1.07–2.16) | 0.019 | 1.61 (1.10–2.36) | 0.0133 |
| No | 196 (72.3) | 370 (79.9) | ||||
| Yes | 149 (55.0) | 167 (36.2) | 2.16 (1.59–2.93) | < 0.0001 | ||
| No | 122 (45.0) | 295 (63.9) | ||||
| Yes | 109 (40.2) | 127 (27.5) | 1.77 (1.29–2.44) | 0.000 | 1.46 (1.03–2.08) | 0.036 |
| No | 162 (59.8) | 335 (72.5) | ||||
| Yes | 18 (6.7) | 18 (3.9) | 1.77 (0.91 – 3.47) | 0.094 | ||
| No | 252 (93.3) | 447 (96.1) | ||||
| Non-fatal overdose* | ||||||
| Yes | 58 (21.5) | 43 (9.4) | 2.65 (1.73 – 4.07) | < 0.001 | 2.01 (1.29–3.15) | 0.002 |
| No | 212 (78.5) | 417 (90.7) | ||||
| Drug/alcohol treatment* | ||||||
| Yes | 178 (66.2) | 276 (60.3) | 1.29 (0.94 – 1.77) | 0.113 | ||
| No | 91 (33.8) | 182 (39.7) | ||||
| Drug dealing* | ||||||
| Yes | 95 (34.9) | 103 (22.1) | 1.89 (1.36 – 2.64) | 0.000 | 1.41 (0.98–2.02) | 0.062 |
| No | 177 (65.1) | 363 (77.9) | ||||
| Sex work* | ||||||
| Yes | 36 (13.2) | 34 (7.3) | 1.93 (1.18 – 3.17) | 0.009 | ||
| No | 236 (86.8) | 431 (92.7) | ||||
† Per one-year increase.
IQR = interquartile range.
‡ Includes participants who identify as transgender, Two-Spirit and ‘other’.
* Activities reported in last 6 months.