The coronavirus disease 2019 (COVID-19) pandemic has been assumed to impact patients diagnosed with alcohol use disorder (AUD). The severity of the influence that the COVID-19 pandemic had on the symptoms of AUD has not yet been revealed in detail. The aim of this study was to examine the impact of the COVID-19 pandemic on patients diagnosed with AUD. This retrospective study was conducted between 11 March 2017 and 31 May 2022 in Hungary. Medical charts (N = 1082) of inpatients with the diagnosis of AUD were reviewed. Based on the dates of admissions, two groups were created: the ‘before COVID-19’ group (11 March 2017–10 March 2020) and the ‘during COVID-19’ group (11 March 2020–31 May 2022). Chi-square tests, independent-sample t-tests, and multinomial logistic regressions were performed. The occurrence of delirium tremens (DT) and psychiatric co-morbidities was significantly higher during the pandemic. Our results showed that the occurrence of DT and psychiatric co-morbidities significantly increased during the pandemic. Our results revealed that the pandemic enhanced the severe consequences of AUD, and the development of AUD might have increased in frequency among individuals previously diagnosed with mental illness during the pandemic. These findings indicate the significance of dual disorders in the post-pandemic period.

Background/Objectives: Most patients with alcohol use disorder (AUD) suffer from mild cognitive decline, which does not meet the diagnostic criteria of the severe form of alcohol-related cognitive impairment (ARCI). ARCI is associated with executive abnormalities in addictive behaviors and therefore influences relapse and daily functioning. Abnormalities in speech production reflect cognitive disturbances. The aim of this study was to examine the temporal speech parameters (TSPs) in ARCI. Methods: The TSPs were measured with the S-GAP Test^® on 34 AUD patients with intact cognitive functions and 31 age- and gender-matched control participants. Results: Ten out of fifteen parameters of TSPs were significantly different between the AUD and healthy groups. Speech tempo and the total pause duration rate have significant classification potential. Conclusions: Our exploratory study revealed that filled pause-related temporal parameters appear to be particularly altered in ARCI and indicated that marked TSP alterations could serve as early indicators of cognitive deficits.