Addictive Behaviors: Etiology and Treatment

The opponent-process theory of acquired motivation: the costs of pleasure and the benefits of pain

Solomon, R. L. (1980) · American Psychologist · doi:10.1037/0003-066x.35.8.691 · Cited by 1,194

Spontaneous remission from the problematic use of substances: An inductive model derived from a comparative analysis of the alcohol, opiate, tobacco, and food/obesity literatures

Stall, R., & Biernacki, P. (1986) · International Journal of the Addictions · doi:10.3109/10826088609063434 · Cited by 179

Psychopathology in adopted-out children of alcoholics. The Stockholm Adoption Study

Cloninger, C. R., Bohman, M., Sigvardsson, S., & von Knorring, A.-L. (1985) · Recent Developments in Alcoholism · doi:10.1007/978-1-4615-7715-7_4 · Cited by 142

Emotion-regulation strategies across psychopathology: A meta-analytic review

Aldao, A., Nolen-Hoeksema, S., & Schweizer, S. (2010) · Clinical Psychology Review · doi:10.1016/j.cpr.2009.11.004 · Cited by 6,686

A “components” model of addiction within a biopsychosocial framework

Griffiths, M. (2005) · Journal of Substance Use · doi:10.1080/14659890500114359 · Cited by 3,088

Psychological Predictors of Problem Mobile Phone Use

Bianchi, A., & Phillips, J. G. (2005) · CyberPsychology & Behavior · doi:10.1089/cpb.2005.8.39 · Cited by 1,514

Habits make smartphone use more pervasive.

Oulasvirta, A., Rattenbury, T., Ma, L., & Raita, E. (2012) · Personal and Ubiquitous Computing · doi:10.1007/s00779-011-0412-2 · Cited by 1,190

Unregulated internet usage: addiction, habit, or deficient self-regulation?

LaRose, R., Lin, C. A., & Eastin, M. S. (2003) · Media Psychology · doi:10.1207/s1532785xmep0503_01 · Cited by 868

Specificity of cognitive emotion regulation strategies: a transdiagnostic examination

Aldao, A., & Nolen-Hoeksema, S. (2010) · Behaviour Research and Therapy · doi:10.1016/j.brat.2010.06.002 · Cited by 860

Development of a short ‘readiness to change’ questionnaire for use in brief, opportunistic interventions among excessive drinkers

ROLLNICK, S., HEATHER, N., GOLD, R., & HALL, W. (1992) · British Journal of Addiction · doi:10.1111/j.1360-0443.1992.tb02720.x · Cited by 818

The benefits and dangers of enjoyment with social networking websites

Turel, O., & Serenko, A. (2012) · European Journal of Information Systems · doi:10.1057/ejis.2012.1 · Cited by 684

Toward a syndrome model of addiction: Multiple expressions, common etiology

Shaffer, H. J., LaPlante, D. A., LaBrie, R. A., Kidman, R. C., Donato, A. N., & Stanton, M. V. (2004) · Harvard Review of Psychiatry · doi:10.1080/10673220490905705 · Cited by 682

Potential determinants of heavier internet usage

ARMSTRONG, L., PHILLIPS, J. G., & SALING, L. L. (2000) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.2000.0400 · Cited by 586

Stress- and pharmacologically-induced behavioral sensitization increases vulnerability to acquisition of amphetamine self-administration

Piazza, P. V., Deminiere, J. M., le Moal, M., & Simon, H. (1990) · Brain Research · doi:10.1016/0006-8993(90)90431-a · Cited by 565

A unified framework for addiction: Vulnerabilities in the decision process

Redish, A. D., Jensen, S., & Johnson, A. (2008) · Behavioral and Brain Sciences · doi:10.1017/s0140525x0800472x · Cited by 501

Technological addictions

Griffiths, M., & University of Plymouth (1995) · Clinical Psychology Forum · doi:10.53841/bpscpf.1995.1.76.14 · Cited by 443

Volitional social interaction prevents drug addiction in rat models

Venniro, M., Zhang, M., Caprioli, D., Hoots, J. K., Golden, S. A., Heins, C., Morales, M., Epstein, D. H., & Shaham, Y. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0246-6 · Cited by 342

Self-traits and motivations as antecedents of digital media flow and addiction: the internet, mobile phones, and video games

Khang, H., Kim, J. K., & Kim, Y. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.05.027 · Cited by 326

Time to connect: bringing social context into addiction neuroscience

Heilig, M., Epstein, D. H., Nader, M. A., & Shaham, Y. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.67 · Cited by 298

Depression, loneliness and Internet addiction: How important is low self-control?

Özdemir, Y., Kuzucu, Y., & Ak, Ş. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.02.009 · Cited by 312

A theory of social media dependence: Evidence from microblog users

Wang, C., Lee, M. K. O., & Hua, Z. (2015) · Decision Support Systems · doi:10.1016/j.dss.2014.11.002 · Cited by 247

A preliminary investigation into the prevalence and prediction of problematic cell phone use

Smetaniuk, P. (2014) · Journal of Behavioral Addictions · doi:10.1556/jba.3.2014.004 · Cited by 220

Mobile phone distraction while studying

David, P., Kim, J.-H., Brickman, J. S., Ran, W., & Curtis, C. M. (2015) · New Media & Society · doi:10.1177/1461444814531692 · Cited by 199

Cross-generational analysis of predictive factors of addictive behavior in smartphone usage

Zhitomirsky-Geffet, M., & Blau, M. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.07.061 · Cited by 186

A Framework for the Specificity of Addictions

Sussman, S., Leventhal, A., Bluthenthal, R. N., Freimuth, M., Forster, M., & Ames, S. L. (2011) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph8083399 · Cited by 129

Conditional probabilities of substance use disorders and associated risk factors: Progression from first use to use disorder on alcohol, cannabis, stimulants, sedatives and opioids

Marel, C., Sunderland, M., Mills, K. L., Slade, T., Teesson, M., & Chapman, C. (2019) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2018.10.010 · Cited by 114

Explicating problematic social network sites use: A review of concepts, theoretical frameworks, and future directions for communication theorizing

Lee, E. W. J., Ho, S. S., & Lwin, M. O. (2017) · New Media & Society · doi:10.1177/1461444816671891 · Cited by 97

A typology of user liability to IT addiction

Vaghefi, I., Lapointe, L., & Boudreau‐Pinsonneault, C. (2017) · Information Systems Journal · doi:10.1111/isj.12098 · Cited by 92

The mediating role of smartphone addiction on the relationship between personality and young drivers' smartphone use while driving

kita, E., & Luria, G. (2018) · Transportation Research Part F: Traffic Psychology and Behaviour · doi:10.1016/j.trf.2018.09.001 · Cited by 87

Maternal behaviour in sheep and its neuroendocrine regulation

Keverne, B., & Kendrick, K. (1994) · Acta Paediatrica · doi:10.1111/j.1651-2227.1994.tb13265.x · Cited by 82

Preventing problematic Internet use through video-based interventions: a theoretical model and empirical test

Turel, O., Mouttapa, M., & Donato, E. (2015) · Behaviour & Information Technology · doi:10.1080/0144929x.2014.936041 · Cited by 78

Overcoming addictions, a Web-based application, and SMART recovery, an online and in-person mutual help group for problem drinkers, part 1: three-month outcomes of a randomized controlled trial

Hester, R. K., Lenberg, K. L., Campbell, W., & Delaney, H. D. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2565 · Cited by 77

Latent-level relations between DSM-5 PTSD symptom clusters and problematic smartphone use

Contractor, A. A., Frankfurt, S. B., Weiss, N. H., & Elhai, J. D. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.02.051 · Cited by 56

Relationships among impulsive, addictive and sexual tendencies and behaviours: a systematic review of experimental and prospective studies in humans

Leeman, R. F., Rowland, B. H. P., Gebru, N. M., & Potenza, M. N. (2019) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2018.0129 · Cited by 35

Cellphone addiction explains how cellphones impair learning for lecture materials

Lee, S., McDonough, I. M., Mendoza, J. S., Brasfield, M. B., Enam, T., Reynolds, C., & Pody, B. C. (2021) · Applied Cognitive Psychology · doi:10.1002/acp.3745 · Cited by 31