| Literature DB >> 34188128 |
Inga Haalck1, Paul Löffler1, Christine Baduel1,2, Karin Wiberg1, Lutz Ahrens1, Foon Yin Lai3.
Abstract
Consumption of illicit drugs poses health risks to the public and environment. Knowledge on their usage helps better implementations of intervention strategies to reduce drug-related harms in the society and also policies to limit their releases as emerging contaminants to recipient environments. This study aimed to investigate from the daily consumption to treatment efficiency and subsequent discharge of illicit drugs by the Swedish urban populations based on simultaneous collection and analysis of influent and effluent wastewater. Two different weekly monitoring campaigns showed similar drug prevalence in Stockholm and Uppsala, with amphetamine as the most popular drug. Almost all target drug residues were still measurable in effluent wastewater. High removal efficiencies (> 94%) were observed for amphetamine, cocaine and benzoylecgonine, whereas ketamine, 3,4-methylenedioxymethamphetamine (MDMA), mephedrone and methamphetamine were the least removed substances (< 64%), with the highest discharge observed for MDMA in both catchments (~ 3.0 g/day in Uppsala; ~ 18 g/day in Stockholm). Our study provides new insights into short-term changes in the use and related discharge of illicit drugs by urban populations. Such wastewater monitoring can provide useful information to public health, forensic and environmental authorities in planning future intervention and regulation policies.Entities:
Year: 2021 PMID: 34188128 PMCID: PMC8241857 DOI: 10.1038/s41598-021-92915-4
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Wastewater sampling in this study.
| City (WWTP) | Number of inhabitantsa | Sampling datesb | Flow range (m3/24 h) | Sampling scheme | |
|---|---|---|---|---|---|
| Influentc | Effluentc | ||||
| Stockholm (Henriksdal) | 850,000d | 09/04–15/04/2019 | 240,000–270,000 | X | |
| 15/10–21/10/2019 | 270,000–350,000 | X | X | ||
| Uppsala (Kungsängsverket) | 200,000d | 12/03–18/03/2019 | 58,000–91,000 | X | |
| 15/10–21/10/2019 | 43,000–58,000 | X | X | ||
aData from WWTP staff incorporated with 2019 census data.
bFrom Tuesday to Monday next week. X: collected samples.
cFlow-proportional sampling.
dCover about 87% of the municipality population.
Detection frequency (DF%) and daily mass loads (mg/day/1000 people) of drug residues in the influent wastewater from Uppsala and Stockholm WWTP in two different monitoring weeks.
| Analytes | Campaign 1 (spring) | Campaign 2 (autumn) | ||||
|---|---|---|---|---|---|---|
| DF% | Average (SD) | Range | DF% | Average (SD) | Range | |
| 6-MAM | 0 | – | < 1.8 | 0 | – | < 1.4 |
| Amphetamine | 100 | 110 (9.2) | 100–130 | 100 | 150a (40)a | 100–220a (2300)b |
| Benzoylecgonine | 100 | 62 (14) | 48–83 | 100 | 75 (19) | 59–110 |
| Cocaine | 100 | 26 (7.9) | 19–39 | 100 | 24 (5.6) | 19–33 |
| Ketamine | 100 | 3.7 (2.6) | 1.3–8.0 | 100 | 1.8 (0.93) | 0.74–3.9 |
| MDA | 0 | – | < 8.9 | 0 | – | < 6.9 |
| MDEA | 0 | – | < 0.36 | 0 | – | < 0.28 |
| MDMA | 100 | 17 (6.7) | 9.1–27 | 100 | 20 (11) | 8.4–43 |
| Mephedrone | 0 | – | < 2.9 | 43 | 9.1c (5.9)c | 2.8–17c |
| Methamphetamine | 100 | 1.9 (0.31) | 1.5–2.3 | 100 | 3.4 (0.23) | 2.9–5.2 |
| Norketamine | 0 | – | < 0.36 | 0 | – | < 0.28 |
| 6-MAM | 0 | – | < 1.5 | 0 | – | < 1.8 |
| Amphetamine | 100 | 220 (14) | 200–250 | 100 | 370a (47)a | 290–430a (740)b |
| Benzoylecgonine | 100 | 220 (71) | 150–330 | 100 | 250 (80) | 180–380 |
| Cocaine | 100 | 92 (31) | 67–150 | 100 | 87 (38) | 55–150 |
| Ketamine | 100 | 2.3 (0.49) | 1.6–2.9 | 100 | 2.7 (0.65) | 2.2–3.9 |
| MDA | 0 | – | < 7.4 | 0 | – | < 8.8 |
| MDEA | 0 | – | < 0.30 | 0 | – | < 0.35 |
| MDMA | 100 | 29 (16) | 11–63 | 100 | 27 (15) | 12–56 |
| Mephedrone | 0 | – | < 2.4 | 0 | – | < 2.8 |
| Methamphetamine | 100 | 13 (1.0) | 11–14 | 100 | 16 (1.2) | 14–18 |
| Norketamine | 0 | – | < 0.30 | 0 | – | < 0.35 |
–, not calculated due to DF 0%; SD, standard deviation.
aExcluded the outlier (see “Methods” for details).
bThe outlier value on Monday.
cQuantifiable in samples only from Wednesday to Friday.
Figure 1Day-to-day (bar chart) and weekly (Tukey box-and-whisker plot) drug consumption in Uppsala in two studied periods (green: campaign 1 in spring; purple: campaign 2 in autumn). Error bars taken in account the uncertainty of sampling, chemical analysis, flow measurement, excretion fraction and population as previously described[21,36,46]. In the box plot (see “Methods” for details), a red cross indicates an outlier and + represents an average value.
Figure 2Day-to-day (bar chart) and weekly (Tukey box-and-whisker plot) drug consumption in Stockholm in two studied periods (green: campaign 1 in spring; purple: campaign 2 in autumn). Error bars taken in account the uncertainty of sampling, chemical analysis, flow measurement, excretion fraction and population as previously described[21,36,46]. In the box plot (see “Methods” for details), a red cross indicates an outlier and + represents an average value.
Comparison of drug consumption using data from WBE studies conducted in Stockholm.
| Publication | Location | Year | Weekly average consumption (mg/day/1000 people) | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Amphetamine | Cocaine | MDMA | Methamphetamine | |||||||
| Thomas et al.[ | Stockholma | 2011 | 91 | 190 | nd | 22 | ||||
| Löve et al.[ | Stockholma | 2016 | 580 | 550 | 170 | 62 | ||||
| This study | Stockholm | 2019 | 600b | 1000c | 790b | 900c | 130b | 120c | 30b | 38c |
| Uppsala | 320b | 400c | 220b | 270c | 76b | 86c | 4.7b | 8.2c | ||
nd: not detected.
aConsumption estimated with correction factors of 2.77 (amphetamine), 3.59 (benzoylecgonine), 4.4 (MDMA), 2.44 (methamphetamine) in González-Mariño et al.[9].
bCampaign 1 in spring.
cCampaign 2 in autumn.
Estimated drug doses and street values over the studied periods in Uppsala and Stockholm.
| Daily doses per 1000 people (mean ± SD) | Proportion of the total daily dose (%) | Total weekly doses | Estimated weekly street value (Euro) | |
|---|---|---|---|---|
| Campaign 1 (spring) | ||||
| Amphetamine | 5.5–7.0 (6.3 ± 0.6) | 67 | 8900 | 9800 |
| Cocaine | 1.7–3.0 (2.2 ± 0.6) | 24 | 3100 | 27,000 |
| MDMA | 0.4–1.2 (0.76 ± 0.3) | 8.0 | 1100 | 15,000 |
| Methamphetamine | 0.073–0.11 (0.094 ± 0.02) | 1.0 | 130 | na |
| Sum | 13,000 | 52,000 | ||
| Campaign 2 (autumn) | ||||
| Amphetamine | 5.6–130 (25 ± 45) | 87 | 35,000 | 39,000 |
| Cocaine | 2.1–3.8 (2.7 ± 0.7) | 9.0 | 3800 | 32,000 |
| MDMA | 0.37–1.9 (0.86 ± 0.5) | 3.0 | 1200 | 16,000 |
| Methamphetamine | 0.14–0.25 (0.18 ± 0.04) | 0.6 | 250 | na |
| Sum | 40,000a | 87,000b | ||
| Campaign 1 (spring) | ||||
| Amphetamine | 11–14 (12 ± 0.8) | 55 | 72,000 | 79,000 |
| Cocaine | 5.5–12 (8.0 ± 3.0) | 36 | 47,000 | 400,000 |
| MDMA | 0.5–2.8 (1.3 ± 0.8) | 6.0 | 7600 | 100,000 |
| Methamphetamine | 0.55–0.68 (0.62 ± 0.1) | 2.8 | 3700 | na |
| Sum | 130,000 | 580,000 | ||
| Campaign 2 (autumn) | ||||
| Amphetamine | 16–41 (23 ± 8.0) | 68 | 140,000 | 150,000 |
| Cocaine | 6.3–14 (9.0 ± 3.0) | 26 | 53,000 | 450,000 |
| MDMA | 0.53–2.4 (1.2 ± 0.7) | 3.0 | 7000 | 95,000 |
| Methamphetamine | 0.70–0.87 (0.77 ± 0.06) | 2.2 | 4600 | na |
| Sum | 210,000c | 700,000d | ||
Average dose[9]: 50 mg for amphetamine, 100 mg for cocaine, 100 mg for MDMA, 50 mg for methamphetamine. Average street price in 2019[53]: amphetamine, €1.1/dose; cocaine, €8.5/dose; MDMA, €14/dose. na: not available. Compared to data obtained in the campaign 1, the autumn’s estimated doses and values increased by + 204%a, + 67%b, + 57%c, + 20%d.
Detection frequency (DF%), removal efficiency (RE%), and daily discharge in the effluent wastewater from Uppsala and Stockholm WWTPs.
| Analytes | DF% | RE% | Daily discharge per 1000 capita (mg/day/1000 people) | Daily discharge in the catchment (g/day) | ||
|---|---|---|---|---|---|---|
| Average (SD) | Range | Average (SD) | Range | |||
| 6-MAM | 0 | na | – | – | – | – |
| Amphetamine | 0 | 100 | – | – | – | – |
| Benzoylecgonine | 100 | 94 | 4.7 (2.1) | 2.8–9.3 | 0.94 (0.42) | 0.54–1.9 |
| Cocaine | 100 | 98 | 0.37 (0.2) | 0.20–0.81 | 0.074 (0.039) | 0.041–0.16 |
| Ketamine | 100 | − 28 | 2.3 (0.51) | 1.6–3.1 | 0.46 (0.10) | 0.33–0.63 |
| MDA | 0 | na | – | – | – | – |
| MDEA | 0 | na | – | – | – | – |
| MDMA | 100 | 26 | 15 (5.3) | 8.6–24 | 2.9 (1.1) | 1.7–4.7 |
| Mephedrone | 71 | − 31 | 7.2a (3.7)a | 2.1–12a | 1.4a (0.74)a | 0.41–2.5a |
| Methamphetamine | 100 | 64 | 1.3 (0.25) | 1.1–1.8 | 0.26 (0.050) | 0.22–0.36 |
| Norketamine | 100 | na | 1.3 (0.26) | 0.99–1.8 | 0.26 (0.053) | 0.20–0.36 |
| 6-MAM | 0 | na | – | – | – | – |
| Amphetamine | 0 | 100 | – | – | – | – |
| Benzoylecgonine | 100 | 98 | 4.8 (5.0) | 1.7–17 | 4.1 (4.2) | 1.4–14.1 |
| Cocaine | 100 | 99 | 0.95 (1.4) | 0.13–4.2 | 0.81 (1.2) | 0.11–3.6 |
| Ketamine | 100 | − 13 | 3.1 (0.58) | 2.4–4.3 | 2.6 (0.49) | 2.1–3.7 |
| MDA | 0 | na | – | – | – | – |
| MDEA | 0 | na | – | – | – | – |
| MDMA | 100 | 21 | 21 (9.2) | 11–36 | 18 (7.8) | 9.4–31 |
| Mephedrone | 0 | na | – | – | – | – |
| Methamphetamine | 100 | 37 | 10 (1.7) | 6.8–13 | 8.5 (1.5) | 5.8–11 |
| Norketamine | 100 | na | 0.65 (0.18) | 0.49–1.1 | 0.55 (0.16) | 0.42–0.9 |
–: not provided due to DF 0% in effluent wastewater; na: not available as the analyte was not quantifiable in influent and/or effluent wastewaters; SD: standard deviation.
aQuantifiable only in samples from Thursday to Sunday.