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Spatiotemporal Mapping of Online Interest in Cannabis and Popular Psychedelics before and during the COVID-19 Pandemic in Poland

Ahmed Al-Imam, Marek A Motyka, Zuzanna Witulska, Manal Younus, Michal Michalak

International Journal of Environmental Research and Public Health May 29, 2022 DOI: 10.3390/ijerph19116619 via OpenAlex

Summary

AI-generated from the abstract

Psychedelics induce altered consciousness via the 5-HT2A receptor. Online searches in Poland for twenty psychedelics from 2017 to 2022 were analyzed using Google Trends data. Holt–Winters exponential smoothing revealed that twelve (60%) of the substances had significant seasonal patterns: psilocybin and ayahuasca showed annual seasonality, four substances (LSD, AL-LAD, DXM, DOB) had half-yearly seasonality, and six (cannabis, dronabinol, ergine, NBOMe, phencyclidine, salvinorin A) followed a quarterly pattern. The pandemic led to a significant positive change in search trends for psilocybin, ergine, and DXM. These spatiotemporal patterns may aid health authorities in monitoring and preventing addictions.

Study at a glance

Characteristics Observational study using time series analysis and clustering Peer reviewed
Population Online search queries in Poland from January 2017 to January 2022
Duration 5-year period from 1 January 2017 to 1 January 2022
Topics Ayahuasca
Keywords Holt–winters exponential smoothing Clustering analysis Entheogens Hallucinogens Social anomie theory
Citations 7
Key finding Twelve of twenty psychedelics had significant seasonal patterns in online searches, and the pandemic increased interest in psilocybin, ergine, and DXM.

Abstract

Background: Psychedelics represent a unique subset of psychoactive substances that can induce an aberrant state of consciousness principally via the neuronal 5-HT2A receptor. There is limited knowledge concerning the interest in these chemicals in Poland and how they changed during the pandemic. Nonetheless, these interests can be surveyed indirectly via the web. Objectives: We aim to conduct a spatial-temporal mapping of online information-seeking behavior concerning cannabis and the most popular psychedelics before and during the pandemic. Methods: We retrieved online information search data via Google Trends concerning twenty of the most popular psychedelics from 1 January 2017 to 1 January 2022 in Poland. We conducted Holt–Winters exponential smoothing for time series analysis to infer potential seasonality. We utilized hierarchical clustering analysis based on Ward’s method to find similarities of psychedelics’ interest within Poland’s voivodships before and during the pandemic. Results: Twelve (60%) psychedelics had significant seasonality; we proved that psilocybin and ayahuasca had annual seasonality (p-value = 0.0120 and p = 0.0003, respectively), and four substances—LSD, AL-LAD, DXM, and DOB—exhibited a half-yearly seasonality, while six psychedelics had a quarterly seasonal pattern, including cannabis, dronabinol, ergine, NBOMe, phencyclidine, and salvinorin A. Further, the pandemic influenced a significant positive change in the trends for three substances, including psilocybin, ergine, and DXM. Conclusions: Different seasonal patterns exist for psychedelics, and some might correlate with school breaks or holidays in Poland. The pandemic induced some changes in the temporal and spatial trends. The spatial-temporal trends could be valuable information to health authorities and policymakers responsible for monitoring and preventing addictions.

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