Skip to main content

EDITORIAL article

Front. Psychol., 10 January 2024
Sec. Psychopathology
This article is part of the Research Topic Binge Drinking in the Adolescent and Young Brain, Volume II View all 16 articles

Editorial: Binge drinking in the adolescent and young brain, volume II

  • 1Psychological Neuroscience Lab, Psychology Research Center (CIPsi), School of Psychology, University of Minho, Braga, Portugal
  • 2Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, United States
  • 3Laboratoire de Psychologie Médicale et d'Addictologie, ULB Neuroscience Institute (UNI), Centre Hospitalier Universitaire (CHU) Brugmann-Université Libre de Bruxelles (U.L.B.), Brussels, Belgium
  • 4Louvain Experimental Psychopathology Research Group (UCLEP), Psychological Sciences Research Institute (IPSY), UCLouvain, Louvain, Belgium

Alcohol is by far the most widely used and consumed psychoactive agent in the world. According to current estimates, there are more than 2.4 million active consumers worldwide (about one third of the world's population; Griswold et al., 2018). Almost all societies that consume alcohol show, in turn, related physical, social, and psychological problems (Babor et al., 2022). In this sense, alcohol misuse is recognized as being responsible for 3 million fatalities every year-around 4% of all deaths globally (World Health Organization, 2018). This percentage markedly increases in the American and European youth, where alcohol is associated with nearly three in 10 deaths in people aged 15–29 years (World Health Organization, 2011).

Adolescence and young adulthood are periods of vulnerability in which many psychiatric disorders such as anxiety, depression or substance abuse manifest for the first time (Paus et al., 2008; Hawkins, 2009). In addition, significant maturational changes take place on the brain during this crucial developmental period, which is considered to last up to 24 years of age (Sawyer et al., 2018). The ongoing neuromaturation seems to involve greater vulnerability–in comparison to adulthood- to disruptive events in the brain such as binge drinking (BD; Spear, 2016; Chung et al., 2018). This pattern of consumption is commonly defined as the consumption of five or more standard drinks (four or more for females) in about 2 h on at least 1 day in the past month (National Institute of Alcohol Abuse and Alcoholism, 2020; Substance Abuse and Mental Health Services Administration, 2022). It constitutes a special concern for this population, as it has been associated with structural and functional impairments in still-maturing regions (e.g., the prefrontal cortex; Cservenka and Brumback, 2017; Lees et al., 2019; Pérez-García et al., 2022) and neuropsychological and neurofunctional deficits in executive functions (e.g., inhibitory control; Carbia et al., 2018; Almeida-Antunes et al., 2021; Seabra et al., 2023), together with a high risk of developing future alcohol addiction (Crews et al., 2016; Ventura-Cots et al., 2017; Tavolacci et al., 2019).

Collectively, the high prevalence of BD at this age along with its serious health problems has led to a significant increase in the number of investigations of this phenomenon, reaching a 7-fold increase between 2000 and 2018, with a slight decrease in the last few years (see Figure 1). Due to the growing interest concerning this pattern of heavy alcohol drinking, in 2019 we published the first volume of the Research Topic “Binge drinking in the adolescent and young brain” (López-Caneda et al., 2019). As showed in this issue, the evidence gathered from more than 20 published papers points to brain anomalies associated with BD at different levels: cellular (e.g., Nickell et al., 2017), structural (e.g., Sousa et al., 2017), functional (e.g., Folgueira-Ares et al., 2017), and cognitive (e.g., Gil-Hernández et al., 2017). In this second volume, we aim to update the latest research related to BD in order to bring the most recent findings that shed new light on this complex and challenging problem in alcohol research and society as a whole.

Figure 1
www.frontiersin.org

Figure 1. Number of articles related to binge drinking during adolescence and youth for the period January 2000–November 2023, per research area (above) and per year-including the number of articles citing research in this topic (below). The search strategy was conducted in Web of Science with the following key terms: ((“binge drinking” OR “binge drinkers” OR “heavy drinking” OR “heavy drinkers” OR “heavy episodic drinking” OR “college drinking” OR “college drinkers” OR “social drinkers”) AND (adolescen* OR youth* OR teen* OR “young” OR “young adults” OR “college students” OR “university students”)).

Firstly, with regard to preclinical studies, three articles included in this Research Topic employed animal models to explore the potential neurotoxic effects of BD. Specifically, the study by Sauton et al. longitudinally assessed decision-making capacities, memory and anxiety-like behavior as well as striatal dopaminergic signaling in male and female rats with a history of BD exposure. Voluntary BD intake was associated with weak decision-making abilities in males, impaired dopamine transmission in the core of the nucleus accumbens (NAcc) in females and increased motor impulsivity in both sexes, suggesting that chronic voluntary BD exposure may lead to a vicious cycle resulting in BD perpetuation and contributing to alcohol dependence vulnerability. In the same line, Jeanblanc et al. assessed the effect of different Baclofen (a GABAB receptor agonist used to treat alcohol use disorder) compounds on daily BD behavior and on dopamine release in the core of the NAcc in rats. Findings showed that both RS(±)-Baclofen and R(+)-Baclofen enantiomers were effective in reducing alcohol intake in animals with a BD-type pattern of alcohol self-administration, particularly in male rats, and that both forms of Baclofen decreased dopamine release in the NAcc in control animals-potentially reducing the rewarding properties of alcohol-, an effect that was lost in the BD group. The third preclinical study, conducted by Jimenez Chavez et al., concluded that BD history in adult and adolescent mice induces relatively few signs of alcohol withdrawal-related negative affect, although several design constraints were raised by the authors as potential causes of this unexpected outcome (e.g., space employed for behavioral testing, locations of the colony rooms in which mice consumed alcohol, small sample size for the replication study). Despite these limitations, authors observed that a 2-week BD history was sufficient to induce some signs of mild cognitive impairment -namely, impaired working and spatial memory-, particularly in adolescent-onset binge drinkers (BDs), which persist after 1 month following the cessation of drinking.

Several human studies encompassed in this Research Topic have also reported abnormal memory functioning associated with a BD pattern. Accordingly, Vinader-Caerols and Monleón described impair faces memory -assessed by the Wechsler Memory Scale (WMS-III; Wechsler, 2004) in male adolescent BDs in comparison with aged-matched abstainers and BDs with cannabis consumption. After receiving a risk dose of alcohol, female BDs performed better than abstainers in the scene memory test of the WMS-III, indicating a possible cognitive tolerance to acute alcohol intake in woman. Similarly, findings from Kang and Kim's study revealed that college students who engage in BD display difficulties with verbal and non-verbal memory-showing lower performance in the free recall condition of the California Verbal Learning Test and in the delayed recall condition of the Rey-Osterrieth Complex Figure Test-as well as deficits in cognitive control-as indicated by the lower number of categories completed in the Wisconsin Card Sorting Test. In another study assessing memory, Johnstone et al. investigated the negative emotional memory bias in the context of BD and problematic alcohol use and its potential association with coping motivations and depressive symptoms. Results support that engaging in BD as a coping mechanism for negative affect or experiencing elevated depression was indirectly related to more negative (self-referent) memory biases, particularly in females. In a related vein, in the study by Cortés-Tomás et al., coping with depressive moods also emerged as a significant factor in explaining risk to engage in BD in young females. In addition, positive expectancies toward alcohol and social and enhancement motives were also important determinants of the BD behavior.

In addition, two electrophysiological studies reported abnormal neural activity linked to memory processes in young with a BD pattern. Rodríguez Holguín et al. analyzed verbal memory during a verbal paired associates learning task using electroencephalography (EEG) and findings revealed that the old/new effect -i.e., larger amplitudes in event-related potentials for old (i.e., previously studied) items in comparison with new items- was absent in the BD relatively to the control group, indicating anomalous brain activity during the recognition of previously learned words in young BDs. In addition, BDs also displayed poorer recall of previously studied words in a version of the California Verbal Learning Test, which is consistent with a verbal memory impairment in this population. These results are congruent with the EEG study conducted by Huang et al., which found an absence of the subsequent memory effect in BDs as compared to aged-matched light drinkers. Indeed, BDs showed attenuated (instead of increased) event-related theta activity and lack of theta phase-locking (an index of neural synchrony) between frontal and posterior/temporal regions during encoding of images that were prospectively retained over 6 months in remote memory, suggesting BD-induced disturbances in brain areas critical for memory formation. In a 2-year longitudinal study, Antón-Toro et al. recorded the brain electrophysiological activity of BDs and their control peers during an inhibitory control (Go/No-Go) task by magnetoencephalography (MEG) in two stages: the first one prior to the onset of alcohol consumption and, subsequently, 2 years later when some of them had started a BD-type pattern. Results showed that, before alcohol use initiation, increased functional connectivity (in the beta band) in prefrontal and temporal regions was associated with augmented risk of developing BD 2 years later. Furthermore, adolescents who transitioned into BD displayed a marked decline of functional synchronization in the prefrontal, temporal and parietal cortices along the follow-up period which, according to the authors, was suggestive of a disruption in the typical neurodevelopmental trajectory for this age. The study protocol by Almeida-Antunes et al. also proposed to analyze the functional connectivity patterns linked to inhibitory control processes, but in this case they intended to explore the memory inhibition/suppression abilities in BDs and non-/light-drinkers in two occasions, before and after several sessions of memory inhibition training (involving cognitive and electrical stimulation). With this aim, authors expect to be able to determine by the first time potential neurofunctional anomalies in the memory inhibition processes linked to BD habits and, subsequently, improve the abilities to suppress alcohol-related memories, which might have a significant impact in alcohol use and craving.

The only longitudinal study examining brain structural changes associated with BD was conducted by Pérez-García et al. Findings revealed that a continued BD pattern in emerging adults is linked to gray matter anomalies in regions related to reward processing (reduced volume in the right NAcc in male BDs), emotional regulation (larger surface area in the left insula in both male and female BDs) and executive functions (thinner cortices in the right rostral middle frontal gyrus in male BDs). Similarly, a critical review conducted by Tetteh-Quarshie and Risher emphasizes the factors that lead to BD-induced brain abnormalities, highlighting the role of the maturational changes occurring during adolescence as a key factor when explaining the neurocognitive and neurostructural effects of BD. Also focusing on the still-maturing brain, the opinion article by Angioletti and Balconi introduces the relationship between BD and problem gambling in adolescents, indicating a connection between the two behaviors. The article underscores the maturational imbalance between the fully mature, over activated reward system and the still-maturing executive system as a potential vehicle toward risky behaviors-including BD and problem gambling- and also underlines the need for tailored preventive and treatment interventions for adolescents with BD and risky gambling, focusing on cognitive factors, especially executive functions and decision-making.

Finally, an objective and homogeneous definition/characterization of BD seems crucial to enable comparisons of findings across different studies. To this end, André et al. developed a new tool to identify and classify BD patterns, applicable to both genders. Authors introduced a 5-item model-based on the Alcohol Use Disorders Identification Test (Saunders et al., 1993) and the Alcohol Use Questionnaire (Townshend and Duka, 2002)-combining multiple key factors of BD, such as quantity/frequency of consumption (6-drink frequency), behavior (speed of consumption), and physiology (frequency of drunkenness and hangover), resulting in a comprehensive and valuable measure for assessing BD severity and categorizing drinking patterns across diverse populations.

In summary, the collection of articles included in this second volume covers a range of important topics related to BD during adolescence and young adulthood, including the behavioral, emotional, cognitive and neurobiological impact of this heavy pattern of alcohol use. However, further research is still needed in order to better characterize the effects of BD on this population. Particularly, conducting longitudinal studies initiating before the transition from non-/low-drinking into BD will allow for a more accurate assessment of the neurodevelopmental impact and potential causal relationships between BD and brain impairments (Gilpin et al., 2012; Antón-Toro et al., 2021). Likewise, examining the spectrum of alcohol consumption, from light to high-intensity drinkers and individuals with alcohol abuse, would provide a more thorough understanding of how varying levels and patterns of alcohol intake may contribute to different behavioral, emotional, and neurocognitive anomalies (Patrick and Azar, 2018; Maurage et al., 2020). Also, future studies should include a more diverse cross-section of the general population (beyond college students) to increase the applicability and generalization of research outcomes. Additionally, research involving participants with comorbidities frequently associated with heavy alcohol drinking, such as anxiety, depression, or other substance abuse, despite its intrinsic limitations, might shed light on the possible interactions/aggravations of these conditions. In summary, bridging the gaps in the existing literature and integrating it with the existing knowledge can contribute to develop more effective prevention and intervention strategies. Ultimately, this will hopefully help to mitigate some of the detrimental effects of BD on the adolescent and young brain.

Author contributions

EL-C: Conceptualization, Data curation, Funding acquisition, Writing – original draft. SL: Supervision, Writing – review & editing. SC: Supervision, Writing – review & editing. CC: Supervision, Writing – review & editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by an R&D grant by Fundação para a Ciência e a Tecnologia (FCT; ref. PTDC/PSI-ESP/1243/2021), and conducted at Psychology Research Center (CIPsi), School of Psychology, University of Minho (UID/01662/2020) through the Portuguese State Budget. EL-C was supported by the FCT, within the scope of the Individual Call to Scientific Employment Stimulus (CEECIND/07751/2022).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Almeida-Antunes, N., Crego, A., Carbia, C., Sousa, S. S., Rodrigues, R., Sampaio, A., et al. (2021). Electroencephalographic signatures of the binge drinking pattern during adolescence and young adulthood: a PRISMA-driven systematic review. NeuroImage 29, 102537. doi: 10.1016/j.nicl.2020.102537

Crossref Full Text | Google Scholar

Antón-Toro, L. F., Bruña, R., Suárez-Méndez, I., Correas, Á., García-Moreno, L. M., and Maestú, F. (2021). Abnormal organization of inhibitory control functional networks in future binge drinkers. Drug Alcohol Depend. 218, 108401. doi: 10.1016/j.drugalcdep.2020.108401

PubMed Abstract | Crossref Full Text | Google Scholar

Babor, T. F., Casswell, S., Graham, K., Huckle, T., Livingston, M., Österberg, E., et al. (2022). Alcohol: No Ordinary Commodity, 3rd Edn. Oxford: Oxford University Press.

Google Scholar

Carbia, C., López-Caneda, E., Corral, M., and Cadaveira, F. (2018). A systematic review of neuropsychological studies involving young binge drinkers. Neurosci. Biobehav. Rev. 90, 332–349. doi: 10.1016/j.neubiorev.2018.04.013

PubMed Abstract | Crossref Full Text | Google Scholar

Chung, T., Creswell, K. G., Bachrach, R., Clark, D. B., and Martin, C. S. (2018). Adolescent binge drinking: developmental context and opportunities for prevention. Alcohol Res. 39, 5–15.

Google Scholar

Crews, F. T., Vetreno, R. P., Broadwater, M. A., and Robinson, D. L. (2016). Adolescent alcohol exposure persistently impacts adult neurobiology and behavior. Pharmacol. Rev. 68, 1074–1109. doi: 10.1124/pr.115.012138

PubMed Abstract | Crossref Full Text | Google Scholar

Cservenka, A., and Brumback, T. (2017). The burden of binge and heavy drinking on the brain: effects on adolescent and young adult neural structure and function. Front. Psychol. 8:1111. doi: 10.3389/fpsyg.2017.01111

PubMed Abstract | Crossref Full Text | Google Scholar

Folgueira-Ares, R., Cadaveira, F., Rodríguez Holguín, S., López-Caneda, E., Crego, A., and Pazo-Álvarez, P. (2017). Electrophysiological anomalies in face-name memory encoding in young binge drinkers. Front. Psychiatry 8:216. doi: 10.3389/fpsyt.2017.00216

PubMed Abstract | Crossref Full Text | Google Scholar

Gil-Hernández, S., Mateos, P., Porras, C., García-Gómez, R., Navarro, E., and Garcia-Moreno, L. M. (2017). Alcohol binge drinking and executive functioning during adolescent brain development. Front. Psychol. 8:1638. doi: 10.3389/fpsyg.2017.01638

PubMed Abstract | Crossref Full Text | Google Scholar

Gilpin, N. W., Karanikas, C. A., and Richardson, H. N. (2012). Adolescent binge drinking leads to changes in alcohol drinking, anxiety, and amygdalar corticotropin releasing factor cells in adulthood in male rats. PLoS ONE 7, e31466. doi: 10.1371/journal.pone.0031466

PubMed Abstract | Crossref Full Text | Google Scholar

Griswold, M. G., Fullman, N., Hawley, C., Arian, N., Zimsen, S. R., Tymeson, H. D., et al. (2018). Alcohol use and burden for 195 countries and territories, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet 392, 1015–1035. doi: 10.1016/S0140-6736(18)31310-2

PubMed Abstract | Crossref Full Text | Google Scholar

Hawkins, E. H. (2009). A tale of two systems: co-occurring mental health and substance abuse disorders treatment for adolescents. Ann. Rev. Psychol. 60, 197–227. doi: 10.1146/annurev.psych.60.110707.163456

PubMed Abstract | Crossref Full Text | Google Scholar

Lees, B., Mewton, L., Stapinski, L. A., Squeglia, L. M., Rae, C. D., and Teesson, M. (2019). Neurobiological and cognitive profile of young binge drinkers: a systematic review and meta-analysis. Neuropsychol. Rev. 29, 357–385. doi: 10.1007/s11065-019-09411-w

PubMed Abstract | Crossref Full Text | Google Scholar

López-Caneda, E., Cadaveira, F., and Campanella, S. (2019). Binge drinking in the adolescent and young brain. Front. Psychol. 9:2724. doi: 10.3389/fpsyg.2018.02724

PubMed Abstract | Crossref Full Text | Google Scholar

Maurage, P., Lannoy, S., Mange, J., Grynberg, D., Beaunieux, H., Banovic, I., et al. (2020). What we talk about when we talk about binge drinking: towards an integrated conceptualization and evaluation. Alcohol Alcoholism 55, 468–479. doi: 10.1093/alcalc/agaa041

PubMed Abstract | Crossref Full Text | Google Scholar

National Institute of Alcohol Abuse Alcoholism (2020). Alcohol Facts and Statistics. Available online at: https://www.niaaa.nih.gov/alcohols-effects-health/alcohol-topics/alcohol-facts-and-statistics/glossary (accessed December 30, 2023).

Google Scholar

Nickell, C. R. G., Peng, H., Hayes, D. M., Chen, K. Y., McClain, J. A., and Nixon, K. (2017). Type 2 neural progenitor cell activation drives reactive neurogenesis after binge-like alcohol exposure in adolescent male rats. Front. Psychiatry 8:283. doi: 10.3389/fpsyt.2017.00283

PubMed Abstract | Crossref Full Text | Google Scholar

Patrick, M. E., and Azar, B. (2018). High-intensity drinking. Alcohol Res. 39, 49–55.

Google Scholar

Paus, T., Keshavan, M., and Giedd, J. N. (2008). Why do many psychiatric disorders emerge during adolescence? Nat. Rev. Neurosci. 9, 947–957. doi: 10.1038/nrn2513

PubMed Abstract | Crossref Full Text | Google Scholar

Pérez-García, J. M., Suárez-Suárez, S., Doallo, S., and Cadaveira, F. (2022). Effects of binge drinking during adolescence and emerging adulthood on the brain: a systematic review of neuroimaging studies. Neurosci. Biobehav. Rev. 137, 104637. doi: 10.1016/j.neubiorev.2022.104637

PubMed Abstract | Crossref Full Text | Google Scholar

Saunders, J. B., Aasland, O. G., Babor, T. F., de la Fuente, J. R., and Grant, M. (1993). Development of the alcohol use disorders identification test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption–II. Addiction 88, 791–804. doi: 10.1111/j.1360-0443.1993.tb00822.x

PubMed Abstract | Crossref Full Text | Google Scholar

Sawyer, S. M., Azzopardi, P. S., Wickremarathne, D., and Patton, G. C. (2018). The age of adolescence. Lancet Child Adolesc. Health 2, 223–228. doi: 10.1016/S2352-4642(18)30022-1

Crossref Full Text | Google Scholar

Seabra, S., Vaz, M., Almeida-Antunes, N., and López-Caneda, E. (2023). How alcohol affects the adolescent mind. Front. Young Minds 11:1146560. doi: 10.3389/frym.2023.1146560

Crossref Full Text | Google Scholar

Sousa, S. S., Sampaio, A., Marques, P., Gonçalves, Ó. F., and Crego, A. (2017). Gray matter abnormalities in the inhibitory circuitry of young binge drinkers: a voxel-based morphometry study. Front. Psychol. 8:1567. doi: 10.3389/fpsyg.2017.01567

PubMed Abstract | Crossref Full Text | Google Scholar

Spear, L. P. (2016). Alcohol consumption in adolescence: a translational perspective. Curr. Addict. Rep. 3, 50–61. doi: 10.1007/s40429-016-0088-9

Crossref Full Text | Google Scholar

Substance Abuse Mental Health Services Administration (2022). Key Substance Use and Mental Health Indicators in the United States: Results From the 2021 National Survey on Drug Use and Health. Available online at: https://www.samhsa.gov/data/report/2021-nsduh-annual-nationalreport (accessed December 30, 2023)

Google Scholar

Tavolacci, M. P., Berthon, Q., Cerasuolo, D., Dechelotte, P., Ladner, J., and Baguet, A. (2019). Does binge drinking between the age of 18 and 25 years predict alcohol dependence in adulthood? A retrospective case-control study in France. Br. Med. J. Open 9, e026375. doi: 10.1136/bmjopen-2018-026375

PubMed Abstract | Crossref Full Text | Google Scholar

Townshend, J. M., and Duka, T. (2002). Patterns of alcohol drinking in a population of young social drinkers: a comparison of questionnaire and diary measures. Alcohol Alcoholism 37, 187–192. doi: 10.1093/alcalc/37.2.187

PubMed Abstract | Crossref Full Text | Google Scholar

Ventura-Cots, M., Watts, A. E., and Bataller, R. (2017). Binge drinking as a risk factor for advanced alcoholic liver disease. Liver Int. 37, 1281–1283. doi: 10.1111/liv.13482

PubMed Abstract | Crossref Full Text | Google Scholar

Wechsler, D. (2004). Wechsler Adult Intelligence Scale-III. San Antonio, EEUU: The Psychological Corporation.

Google Scholar

World Health Organization (2011). Global Status Report on Alcohol and Health. Geneva: World Health Organization. Available online at: https://www.who.int/publications/i/item/9789241565639 (accessed December 30, 2023).

Google Scholar

World Health Organization (2018). Global Status Report on Alcohol and Health 2018. Geneva: Suisse. Available online at: https://apps.who.int/iris/handle/10665/274603 (accessed December 30, 2023).

Google Scholar

Keywords: alcohol, binge drinking, adolescence, young adulthood, brain, cognitive function

Citation: López-Caneda E, Lannoy S, Campanella S and Carbia C (2024) Editorial: Binge drinking in the adolescent and young brain, volume II. Front. Psychol. 14:1344363. doi: 10.3389/fpsyg.2023.1344363

Received: 25 November 2023; Accepted: 27 December 2023;
Published: 10 January 2024.

Edited and reviewed by: Antoine Bechara, University of Southern California, United States

Copyright © 2024 López-Caneda, Lannoy, Campanella and Carbia. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Eduardo López-Caneda, eduardo.lopez@psi.uminho.pt

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.