| Literature DB >> 35457295 |
Anna Garus-Pakowska1, Agnieszka Kolmaga1, Ewelina Gaszyńska1, Magdalena Ulrichs2.
Abstract
Legal highs are new psychoactive substances (NPSs) which pose a high risk for human health, and the spread of the SARS-CoV-2 pandemic has changed peoples' behaviours, including the demand for NPS. The aim of the study was to assess both the frequency of intoxication with NPS in Łódź province over the period 2014-2020, and the impact of the COVID-19 pandemic on developing this trend. An analysis was carried out of data on intoxications in Łódź province in the years 2014-2020 reported by hospitals. The medical interventions rate (MI) per 100,000 people in the population was calculated. The frequency of intoxications was compared taking sociodemographic variables into account, and the effect of seasonal influence on intoxications was calculated using the Holt-Winter multiplicative seasonal method. In the period considered, there were 7175 acute NPS poisonings in the Łódź province and 25,495 in Poland. The averaged MI rate between 2014-2020 was 9.45 for Poland and 38.53 for the Łódź province, and the lowest value was found during the COVID pandemic in the year 2020 (respectively, 2.1 vs. 16.94). NPS users were mainly young men of 19-24 years old from a big city. Most cases were registered at weekends and in summer months. The majority of intoxications were caused by unidentified psychoactive substances of legal highs (chi2 = 513.98, p < 0.05). The actual number of NPS-related poisonings in the Łódź province in 2020 was lower than the value extrapolated from trend analysis of data between 2014-2019. NPS use in Poland decreased during the pandemic. It should be noted that a decrease in the number of drug-related incidents can have more than one reason, e.g., preventive programs, increased awareness, or changes in the law. This paper advocates that, in addition to monitoring NPS-related intoxications, there is further investigation into the social, cultural, and behavioural determinants of NPS to facilitate targeted prevention programmes and the development of new medical treatments.Entities:
Keywords: COVID-19; NPS; intoxication; legal highs; new psychoactive substances
Mesh:
Substances:
Year: 2022 PMID: 35457295 PMCID: PMC9031094 DOI: 10.3390/ijerph19084427
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
The number of legal high intoxications in Łódź province vs. Poland; the rate of medical interventions in Łódź province vs. Poland over the period 2014–2020.
| Number of Intoxications in the | MI/100,000 | |||
|---|---|---|---|---|
| Year | Łódź Province (% vs. Poland) | Poland | Łódź Province | Poland |
| 2014 | 723 (29.83%) | 2424 | 27.13 | 6.29 |
| 2015 | 1560 (21.43%) | 7281 | 59.69 | 18.92 |
| 2016 | 1478 (34.01%) | 4346 | 57.74 | 11.19 |
| 2017 | 979 (23.14%) | 4230 | 38.54 | 11.00 |
| 2018 | 1206 (28.31%) | 4260 | 44.28 | 11.08 |
| 2019 | 812 (37.80%) | 2148 | 25.40 | 5.60 |
| 2020 | 417 (51.74%) | 806 | 16.94 | 2.10 |
|
| ∑ = 7175 (28.14%) | ∑ = 25,495 | ||
∑—total; —average; MI—medical interventions rate.
The characteristics of patients in terms of their sociodemographic features and the characteristics of intoxications based on the analysed variables.
| Variable | Number of Patients | Percent | Percent Cum | |
|---|---|---|---|---|
| Sex | ||||
| Female | 886 | 12.35 | 12.35 | |
| Male | 6288 | 87.64 | 99.99 | |
| No data | 1 | 0.01 | 100.00 | |
| Age | ||||
| <16 | 205 | 2.86 | 2.86 | |
| 16–18 | 718 | 10.01 | 12.87 | |
| 19–24 | 2541 | 35.41 | 48.28 | |
| 25–29 | 1538 | 21.44 | 69.72 | |
| 30–39 | 1767 | 24.63 | 94.35 | |
| >39 | 351 | 4.89 | 99.24 | |
| No data | 55 | 0.77 | 100.00 | |
| Place of residence | ||||
| City with population <100,000 | 2245 | 31.29 | 31.29 | |
| City with population >100,000 | 4583 | 63.87 | 95.16 | |
| No data | 347 | 4.84 | 100.00 | |
| Day of the week | ||||
| Monday | 1102 | 15.36 | 15.36 | |
| Tuesday | 935 | 13.03 | 28.39 | |
| Wednesday | 973 | 13.56 | 41.95 | |
| Thursday | 1000 | 13.94 | 55.89 | |
| Friday | 971 | 13.53 | 69.42 | |
| Saturday | 1035 | 14.43 | 83.85 | |
| Sunday | 1159 | 16.15 | 100.00 | |
| Months | ||||
| Summer (IV–IX) | 3946 | 55.00 | 55.00 | |
| Winter (X–III) | 3229 | 45.00 | 100.00 | |
| NPS content | ||||
| Unknown | 5678 | 79.14 | 79.14 | |
| Known | 1497 | 20.86 | 100.00 |
The characteristics of intoxications with regard to a patient’s gender and NPS content in particular years.
| Year | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Variable | chi2 |
| ||||||||
| Sex | ||||||||||
| Female | 113 (15.63) | 187 (11.99) | 120 (8.12) | 142 (14.5) | 155 (12.85) | 112 (13.79) | 57 (13.67) | 44.91 | <0.05 | |
| Male | 610 (84.37) | 1373 (88.01) | 1358 (91.88) | 837 (85.5) | 1051 (87.15) | 700 (86.21) | 360 (86.33) | |||
| NPS content | ||||||||||
| Unknown | 596 (82.43) | 1285 (82.37) | 1232 (83.36) | 885 (90.4) | 992 (82.26) | 464 (57.14) | 224 (53.72) | 513.98 | <0.05 | |
| Known | 127 (17.57) | 275 (17.63) | 246 (16.64) | 94 (9.6) | 214 (17.74) | 348 (42.86) | 193 (46.28) | |||
| ∑ (%) in the year | 723 (100%) | 1560 (100%) | 1478 (100%) | 979 (100%) | 1206 (100%) | 812 (100%) | 417 (100%) |
chi2—Pearson chi2 test; p—statistical level of probability; ∑—total.
List of psychoactive substances in mixed poisonings (n = 225) *.
| Psychoactive Substance | The Number of Cases of Mixed Poisonings in Which at Least One Psychoactive Substance Was Detected |
|---|---|
| THC (Tetrahydrocannabinol) | 130 |
| Amphetamine | 125 |
| Synthetic cathinones | 42 |
| Methamphetamine | 23 |
| Cannabimimetics | 18 |
| Cannabis | 14 |
| Mephedrone | 11 |
| Synthetic opioids | 11 |
| Ethyl alcohol | 10 |
| Synthetic hashish | 7 |
| Cocaine | 5 |
| LSD (lysergic acid diethylamide) | 4 |
| Methadone | 4 |
| Benzodiazepines | 3 |
| Heroin | 2 |
| Atropine | 1 |
| Dextromethorphan | 1 |
| Hallucinogenic mushrooms | 1 |
| Morphine | 1 |
* the sum differs from the number of mixed poisonings (n = 225) because there were different patterns of taking psychoactive substances.
The comparison of the number of intoxications at the beginning of the lockdown in 2020 connected with the COVID-19 pandemic, respectively, over the same months.
| Month | Year | Total | |||
|---|---|---|---|---|---|
| 2019 | 2020 | chi2 |
| ||
| March | 119 | 24 | 143 | 7.0325 | 0.008 |
| April | 68 | 31 | 99 | ||
| Total | 187 | 55 | 242 | ||
chi2—Pearson chi2 test; p—statistical level of probability.
Figure 1The number of intoxications and the number of intoxications forecasted over the years 2014–2020 using the Holt–Winters multiplicative seasonal method.