JOURNAL ARTICLE
Technology addiction: 12 steps to the rescue.
Published In: Alcoholism & Drug Abuse Weekly, 2023, v. 35, n. 42. P. 8 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Knopf, Alison 3 of 3
Abstract
There is a fellowship organization called Internet and Technology Addicts Anonymous (ITAA), that embraces a 12‐step program which, as a recent article in The Guardian explains, is based on the principles of Alcoholics Anonymous. Like alcoholics (if ADAW can be forgiven the use of that word), internet and technology addicts (there's another politically incorrect word) use their products compulsively. Launched in 2017, there are now thousands of members internationally, with meetings that are (of course) online, and some in person. Meetings involve sharing experiences and support. Unlike alcohol, however, the internet is a necessary tool for functioning, making internet addiction similar to food addiction. You can't be abstinent from eating. The internet can spawn problems like television binge‐watching, video‐gaming constantly, compulsive social media scrolling, and too much online shopping. The DSM‐5 does not recognize internet and technology addiction, but it is similar, according to research, to alcoholism and other addictions. Studies have found structural brain changes, the dopamine reward cycle, and gaming cues leading to cravings all supporting internet addiction as a category. So far, the only behavioral addiction recognized by the DSM‐5 is gaming disorder (eating disorder is not necessarily an addiction). [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Alcoholism & Drug Abuse Weekly. 2023/10, Vol. 35, Issue 42, p8
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2023
- ISSN:1042-1394
- DOI:10.1002/adaw.33931
- Accession Number:173281633
- Copyright Statement:Copyright of Alcoholism & Drug Abuse Weekly is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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