The DOI matches its Crossref record; 310 of the 319 references it cites were found in a registry or an index.
Neuroscience of Internet Pornography Addiction: A Review and Update
Open accessAbstract
Many recognize that several behaviors potentially affecting the reward circuitry in human brains lead to a loss of control and other symptoms of addiction in at least some individuals. Regarding Internet addiction, neuroscientific research supports the assumption that underlying neural processes are similar to substance addiction. The American Psychiatric Association (APA) has recognized one such Internet related behavior, Internet gaming, as a potential addictive disorder warranting further study, in the 2013 revision of their Diagnostic and Statistical Manual. Other Internet related behaviors, e.g., Internet pornography use, were not covered. Within this review, we give a summary of the concepts proposed underlying addiction and give an overview about neuroscientific studies on Internet addiction and Internet gaming disorder. Moreover, we reviewed available neuroscientific literature on Internet pornography addiction and connect the results to the addiction model. The review leads to the conclusion that Internet pornography addiction fits into the addiction framework and shares similar basic mechanisms with substance addiction. Together with studies on Internet addiction and Internet Gaming Disorder we see strong evidence for considering addictive Internet behaviors as behavioral addiction. Future research needs to address whether or not there are specific differences between substance and behavioral addiction.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Recent studies indicate that compulsive sexual arousal may be addictive and hazardous to otherwise healthy people because it has neurological effects on the brain that are comparable to those of drugs (Love et al., 2015;Nestler, 2005;Phillips et al., 2015;Reisman, 2004;Voon et al., 2014).”
From “Your Addiction, her Sexual Suffering”—A Qualitative Inquiry into the Effects of Compulsive Sexual Behaviors on Intimate Female Partners (2025) · cites this paper as Love et al., 2015
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Behavioral addictions indirectly affect the brain's neurotransmitter system, especially the dopamine system, and function as a reinforcement comparable to pharmacological substances that directly affect this system.”
From Cybersex addiction: An overview of the development and treatment of a newly emerging disorder (2020) · cites this paper as [21]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2013) · doi:10.1176/appi.books.9780890425596 · Cited by 116,369
Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000) · Cognitive Psychology · doi:10.1006/cogp.1999.0734 · Cited by 15,798
The neural basis of drug craving: An incentive-sensitization theory of addiction
Robinson, T. (1993) · Brain Research Reviews · doi:10.1016/0165-0173(93)90013-p · Cited by 7,346
Koob, G. F., & Volkow, N. D. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.110 · Cited by 5,340
Neural systems of reinforcement for drug addiction: from actions to habits to compulsion
Everitt, B. J., & Robbins, T. W. (2005) · Nature Neuroscience · doi:10.1038/nn1579 · Cited by 3,785
A cognitive-behavioral model of pathological Internet use
Davis, R. A. (2001) · Computers in Human Behavior · doi:10.1016/s0747-5632(00)00041-8 · Cited by 3,010
Storage and Executive Processes in the Frontal Lobes
Smith, E. E., & Jonides, J. (1999) · Science · doi:10.1126/science.283.5408.1657 · Cited by 2,834
Dysfunction of the prefrontal cortex in addiction: neuroimaging findings and clinical implications
Goldstein, R. Z., & Volkow, N. D. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3119 · Cited by 2,749
NEURAL MECHANISMS OF ADDICTION: The Role of Reward-Related Learning and Memory
Hyman, S. E., Malenka, R. C., & Nestler, E. J. (2006) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.29.051605.113009 · Cited by 2,647
Decision making, impulse control and loss of willpower to resist drugs: a neurocognitive perspective
Bechara, A. (2005) · Nature Neuroscience · doi:10.1038/nn1584 · Cited by 2,149 · cited 1×
“This was taken into account to explain repeated drug administration and the preference for short-term reinforcement due to the drug despite severe negative consequences following drug use [280].”
Background
Research works printed but not linked: 5
- Tinbergen, N. (1989). The Study of Instinct, Clarendon Press.
- Ge, 2011, P300 change and cognitive behavioral therapy in subjects with Internet addiction disorder: A 3-month follow-up study, Neur. Reg. Res., 6, 2037
- Gola, 2015, Increased sensitivity to erotic reward cues in subjects with compulsive sexual behaviors, J. Behav. Addict., 4, 16
- Brand, 2015, Cybersex addiction is correlated with ventral striatum activity when watching preferred pornographic pictures, J. Behav. Addict., 4, 9
- Klucken, 2015, Neural and subjective responses in patients with excessive pornography consumption, J. Behav. Addict., 4, 42
Cited by
Sorted by citations
Lissak, G. (2018) · Environmental Research · doi:10.1016/j.envres.2018.01.015 · Cited by 1,024
Online Porn Addiction: What We Know and What We Don’t—A Systematic Review
de Alarcón, R., de la Iglesia, J., Casado‐Espada, N. M., & Montejo, A. L. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8010091 · Cited by 306
Brand, M., Snagowski, J., Laier, C., & Maderwald, S. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.01.033 · Cited by 198
Self-citationIs internet pornography causing sexual dysfunctions? A review with clinical reports
Park, B., Wilson, G., Berger, J., Christman, M., Reina, B., Bishop, F., Klam, W., & Doan, A. (2016) · Behavioral Sciences · doi:10.3390/bs6030017 · Cited by 187
Stark, R. M., Klucken, T., Potenza, M. N., Brand, M., & Strahler, J. (2018) · Current Behavioral Neuroscience Reports · doi:10.1007/s40473-018-0162-9 · Cited by 193
Self-citation
Metadata
- Authors
- Love, T., Laier, C., Brand, M., Hatch, L., & Hajela, R.
- Affiliations
- Society for the Advancement of Sexual Health, Ardmore, PA 19003, USA
- University of Duisburg-Essen (DE)
- Erwin L. Hahn Institute for Magnetic Resonance Imaging (DE)
- Private Practice, Santa Barbara, CA 93103, USA
- American Society of Addiction Medicine (US)
- Corresponding author
- Love, Todd
- Venue
- Behavioral Sciences
- Publisher
- MDPI AG
- Published
- 2015-09-18
- Volume
- 5
- Issue
- 3
- Pages
- 388-433
- ISSN
- 2076-328X (ISSN-L)
- PMC
- PMC4600144
- OpenAlex
- W1910854322
- Cited by
- 262
- References
- 319
- Citations by year
- 2026: 22 · 2025: 26 · 2024: 17 · 2023: 29 · 2022: 32 · 2021: 25 · 2020: 42 · 2019: 26 · 2018: 20 · 2017: 12 · 2016: 11
- FWCI
- 2.07
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Behavioral Sciences (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- DuEPublico (University of Duisburg-Essen) (submittedVersion, cc-by)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Clinical Psychology › Gambling Behavior and Treatments
- Keywords
- internet addiction, internet gaming disorder, behavioral addiction, substance addiction, reward systems, addiction models, neurobiology of addiction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review