| Literature DB >> 35093679 |
Antonia Bendau1, Leonard Viohl1, Moritz Bruno Petzold1, Jonas Helbig1, Simon Reiche2, Roman Marek3, Amy Romanello4, Daa Un Moon1, Rosa Elisa Gross1, Dario Jalilzadeh Masah1, Stefan Gutwinski2, Inge Mick1, Christiane Montag1, Ricarda Evens2, Tomislav Majić2, Felix Betzler5.
Abstract
BACKGROUND: The COVID-19 pandemic is presumably having an impact on the consumption of psychoactive substances. Social distancing and lockdown measures may particularly affect the use of "party drugs" (e.g., stimulants, dissociatives, and GHB/GBL) through the absence of typical use settings. We aimed to analyse the use patterns of those substances and underlying motivations before and during the pandemic.Entities:
Keywords: Amphetamine; Cocaine; Corona; Ketamine; MDMA; Substance use
Mesh:
Substances:
Year: 2022 PMID: 35093679 PMCID: PMC8730379 DOI: 10.1016/j.drugpo.2022.103582
Source DB: PubMed Journal: Int J Drug Policy ISSN: 0955-3959
Fig. 1Overview of the consequences related to the COVID-19 pandemic for the participants (N = 1,321).
Reported frequency of drug use before and during the COVID-19 pandemic (N = 1,321).
| Amphetamine ( | Metamphetamine ( | MDMA /Ecstasy ( | GHB/GBL ( | Cocaine ( | Dissociative drugs ( | ||
|---|---|---|---|---|---|---|---|
| never (0) | 14 (3.8) | 8 (9.0) | 37 (4.9) | 8 (14.5) | 50 (6.3) | 28 (7.0) | |
| <1x per month (1) | 130 35.2) | 38 (42.7) | 489 (64.7) | 28 (50.9) | 355 (44.7) | 207 (52.0) | |
| ∼1x per month (2) | 56 (15.2) | 5 (5.6) | 125 (16.5) | 6 (10.9) | 134 (16.9) | 57 (14.3) | |
| 2–4x per month (3) | 102 (27.6) | 14 (15.7) | 96(12.7) | 7 (12.7) | 153 (19.2) | 77 (19.3) | |
| 2–3x per week (4) | 34 (9.2) | 7 (7.9) | 5 (0.7) | 4 (7.3) | 62 (7.8) | 16 (4.0) | |
| 4–6x per week (5) | 12 (3.3) | 2 (2.2) | 3 (0.4) | 0 (0.0) | 18 (2.3) | 11 (2.8) | |
| Daily (6) | 21 (5.7) | 15 (16.9) | 1 (0.1) | 2 (3.6) | 23 (2.9) | 2 (0.5) | |
| never in 4weeks (1) | 138 (37.4) | 44 (49.4) | 487 (64.4) | 32 (58.2) | 410 (51.6) | 202 (50.6) | |
| <1x per month (1) | 83(22.5) | 18 (20.2) | 198 (26.2) | 14 (25.2) | 159 (20.0) | 86 (21.6) | |
| ∼1x per month (2) | 85 (23.0) | 12 (13.5) | 64 (8.5) | 4 (7.3) | 146 (18.4) | 74 (18.5) | |
| 2–4x per month (3) | 34 (9.2) | 9 (10.1) | 5 (0.7) | 1 (1.8) | 51 (6.4) | 24 (6.0) | |
| 2–3x per week (4) | 11 (3.0) | 0 (0.0) | 1 (0.1) | 3 (5.5) | 12 (1.5) | 7 (1.8) | |
| 4–6x per week (5) Daily (6) | 18 (4.9) | 6 (6.7) | 1 (0.1) | 1 (1.8) | 17 (2.1) | 6 (1.5) | |
| Decrease | 117 (48.0) | 47 (52.8) | 490 (64.8) | 31 (56.4) | 431 (54.2) | 210 (52.8) | |
| Unchanged | 94 (25.5) | 21 (23.6) | 90 (11.9) | 8 (14.5) | 152 (19.1) | 72 (18.1) | |
| Increase | 98 (26.5) | 21 (23.6) | 176 (23.3) | 16 (29.1) | 212 (26.7) | 116 (29.1) | |
| Modal | −1 | −1 | −1 | −1 | −1 | −1 | |
| Median | 0 | −1 | −1 | −1 | −1 | −1 | |
| −0.41 | −0.83 | −0.59 | −0.44 | −0.55 | −0.32 | ||
| 1.57 | 2.05 | 1.29 | 1.50 | 1.69 | 1.51 | ||
| Min.; Max. | −6; 6 | −6; 3 | −5; 4 | −6; 2 | −6; 5 | −5; 6 | |
| Before pandemic | Club: 318 (85.7) | At home: 64 (70.3) | Club: 643 (85.1) | Club: 34 (61.8) | Club: 639 (79.9) | At home: 284 (70.8) | |
| During pandemic | At home: 196 (84.8) | At home: 33 (73.3) | At home: 214 (79.6) | At home: 20 (87.0) | At home: 294 (76.4) | At home: 172 (87.3) | |
| Decrease | 16 (4.7) | 7 (8.1) | 12 (1.9) | 1 (1.9) | 20 (2.9) | 4 (1.2) | |
| Unchanged | 299 (88.2) | 63 (73.3) | 520 (80.6) | 41 (78.8) | 498 (72.2) | 287 (82.5) | |
| Increase | 24 (7.1) | 16 (18.6) | 103 (17.5) | 10 (19.2) | 172 (25.0) | 57 (4.6) | |
| Decrease | 35 (10.4) | 10 (11.7) | 56 (8.7) | 2 (3.9) | 147 (21.5) | 28 (8.1) | |
| Unchanged | 288 (85.0) | 65 (76.5) | 554 (86.7) | 48 (94.1) | 498 (72.7) | 303 (87.3) | |
| Increase | 16 (4.7) | 10 (11.8) | 29 (4.6) | 1 (2.0) | 40 (5.9) | 16 (4.6) | |
| Decrease | 9 (4.0) | 6 (10.6) | 19 (5.4) | 1 (3.8) | 18 (4.2) | 40 (19.6) | |
| Unchanged | 193 (85.8) | 43 (75.4) | 266 (75.6) | 19 (73.1) | 312 (74.3) | 153 (75.0) | |
| Increase | 23 (10.2) | 8 (14.1) | 57 (18.0) | 6 (23.0) | 90 (21.5) | 11 (5.4) |
Note. During the pandemic, “never in the last 4 weeks” is treated equivalent with “<1x per month”. Difference scores are calculated by the pandemic minus the pre-pandemic frequency; negative values thus indicate a decrease in the frequency of drug use and positive values an increase.
Motivation for the use of stimulants and dissociatives before and during the COVID-19 pandemic (N = 1,321).
| What do you expect from the immediate effect | Amphetamine | Metamphetamine | MDMA/Exctasy | GHB/GBL | Cocaine | Dissociative drugs | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Before ( | During ( | Before ( | During ( | Before ( | During ( | Before ( | During ( | Before ( | During ( | Before ( | During ( | |
| 93 (26.7)* | 52 (22.8)* | |||||||||||
Note. Choosing multiple options was possible. Bold font marks a relative decrease of at least 5% and underlined font a relative increase of at least 5% of the percentage which reported this source of motivation. Asterisks (*) indicate a significant difference (p ≤ 0.05) between the relative frequencies before and during the pandemic according to McNemar Tests.
Fig. 2Drug use as a “coping strategy” and its association with changes in the amount of use.
Note. The bars present percentages. The right column displays partial non-parametric Spearman rank correlation coefficients of the extent of drug use as a coping strategy with the difference in frequency (controlled for baseline frequency of substance use). Significance levels: *** p < 0.001, ** p < 0.01, * p < 0.05.
Associations with pandemic-related stressors and mechanisms with the consumption frequency during the pandemic – grouped by the evaluation of drug use as helpful coping strategy vs. not helpful.
| Amphetamine | Metamphe-tamine | MDMA/Ecstasy | GHB/GBL | Cocaine | Dissociative drugs | |||
|---|---|---|---|---|---|---|---|---|
| Pandemic stressors | Helpful to cope? | ( | ( | ( | ( | ( | ( | |
| −0.019 (0.829) 124 | .011 (0.950) 37 | .037 (0.518) 300 | .230 (0.248) 27 | |||||
| .044 (0.762) 50 | .096 (0.075) 18 | .081 (0.461) 86 | .433 (0.467) 5 | .141 (0.193) 87 | −0.119 (0.335) 68 | |||
| .042 (0.753) 58 | −0.051 (0.238) 546 | .052 (0.732) 46 | −0.048 (0.446) 257 | |||||
| −005 (0.965) 97 | −0.119 (0.553) 27 | −0.103 (0.228) 139 | −0.038 (0.929) 8 | −0.127 (0.133) 141 | −0.078 (0.411) 112 | |||
| −0.079 (0.558) 58 | −0.040 (0.792) 46 | |||||||
| −0.047 (0.647) 97 | −0.026 (0.760) 139 | −0.050 (0.906) 8 | .001 (0.991) 141 | −0.011 (0.911) 112 | ||||
| .057 (0.673) 58 | −0.056 (0.128) 546 | .286 (0.054) 46 | −0.029 (0.641) 257 | |||||
| .090 (0.382) 97 | −0.003 (0.989) 27 | .099 (0.244) 139 | −0.237 (0.572) 8 | −0.066 (0.434) 141 | −0.012 (0.903) 112 |
Note. Non-parametric Spearman rank correlations. Grouped by “not helpful at all” vs. “slightly + moderately + very + absolutely helpful” in dealing with the pandemic. SCL-9 = Modified 9-item self-rating Symptom Checklist short version. Significance levels: *** p < 0.001, ** p < 0.01, * p < 0.05. Due to the descriptive character of this analysis, we neither accounted for multiple testing, nor compared correlations by inferential statistics.