Every claim the course makes, and how strong it is.

"Pornography addiction" is not a diagnosis in DSM-5 or DSM-5-TR.

• APA, DSM-5-TR (2022), American Psychiatric Association Publishing, doi:10.1176/appi.books.9780890425787

ICD-11 includes Compulsive Sexual Behaviour Disorder (6C72), classified as an impulse control disorder rather than an addictive disorder. Pornography use can fall under it.

• WHO ICD-11, 6C72 — https://icd.who.int/browse/2025-01/mms/en#1630268048

Whether compulsive pornography use is best modelled as an addiction is genuinely unresolved among researchers.

• Kraus SW, Krueger RB, Briken P, First MB, Stein DJ, Kaplan MS, Voon V, Abdo CHN, Grant JE, Atalla E, Reed GM 2018, World Psychiatry 17(1):109-110, doi:10.1002/wps.20499, PMID 29352554, PMC5775124
• Grubbs JB, Hoagland KC, Lee BN, Grant JT, Davison P, Reid RC, Kraus SW 2020, Clin Psychol Rev 82:101925, doi:10.1016/j.cpr.2020.101925, PMID 33038740
• Prause N, Janssen E, Georgiadis J, Finn P, Pfaus J 2017, Lancet Psychiatry 4(12):899, doi:10.1016/S2215-0366(17)30441-8, PMID 29179928
• Prause N 2017, Arch Sex Behav 46(8):2269-2274, doi:10.1007/s10508-017-1078-2, PMID 28940038

Most people who use pornography do not have a problem with it. Profile studies place most users in a non-problematic group, but how many depends on how the profiling is done: cluster analysis of 830 adults in Vaillancourt-Morel et al. 2017 put 75.5% in a "recreational" profile, while latent profile analysis across three samples in Bőthe et al. 2020 put 68-73% in non-problematic low-frequency use and 19-29% in non-problematic high-frequency use, leaving 3-8% in problematic high-frequency use.

• Vaillancourt-Morel MP, Blais-Lecours S, Labadie C, Bergeron S, Sabourin S, Godbout N 2017, J Sex Med 14(1):78-85, doi:10.1016/j.jsxm.2016.10.016, PMID 28011208
• Bőthe B, Tóth-Király I, Potenza MN, Orosz G, Demetrovics Z 2020, J Sex Med 17(4):793-811, doi:10.1016/j.jsxm.2020.01.007

Prevalence of problematic use has no single defensible number: it depends almost entirely on the instrument, the cut-off and the sample. In the largest standardised cross-national study the overall figure ranges from 3.2% (PPCS) to 16.6% (Brief Pornography Screen) across 42 countries. The Australian ASHR2 figure often quoted here — men 4%, women 1% — is something narrower: it is agreement with the single item "You feel you are addicted to pornography", asked only of respondents who had ever looked at pornography, which works out at roughly 3% of all men and 0.5% of all women.

• Rissel et al. 2017, J Sex Res 54(2):227-240, doi:10.1080/00224499.2016.1191597
• Bőthe et al. 2024, Addiction 119:928-950, doi:10.1111/add.16431

Men report problematic use substantially more often than women. The size of the gap depends on the instrument: in the largest cross-national study men were about four times more likely on the broadest screen (28.92% vs 7.01%), about six times on the PPCS-6 (18.60% vs 2.96%) and about nine times on the full PPCS (6.26% vs 0.72%). Single-item self-labelled "addiction" measures give a gap at the low end of that range, around three to four times.

• Bőthe B, Nagy L, Koós M, Demetrovics Z, Potenza MN, International Sex Survey Consortium, Kraus SW 2024, Addiction 119(5):928-950, doi:10.1111/add.16431, PMID 38413365
• Rissel C, Richters J, de Visser RO, McKee A, Yeung A, Caruana T 2017, J Sex Res 54(2):227-240, doi:10.1080/00224499.2016.1191597, PMID 27419739 (men 4% vs women 1%)
• Grubbs JB, Kraus SW, Perry SL 2019, J Behav Addict 8(1):88-93, doi:10.1556/2006.7.2018.134, PMID 30632378, PMC7044607 (~11% vs ~3%)

Frequency of use alone is a poor indicator of problematic use. Distress, impaired control and functional impairment are what distinguish it.

• Bőthe B, Tóth-Király I, Zsila Á, Griffiths MD, Demetrovics Z, Orosz G 2018, J Sex Res 55(3):395-406, doi:10.1080/00224499.2017.1291798, PMID 28276929 (PPCS development)
• Bőthe B, Tóth-Király I, Potenza MN, Orosz G, Demetrovics Z 2020, J Sex Med 17(4):793-811, doi:10.1016/j.jsxm.2020.01.007
• WHO ICD-11, 6C72 (clinical descriptions and diagnostic guidelines) — https://icd.who.int/browse/2025-01/mms/en#1630268048
• Kraus SW, Krueger RB, Briken P, First MB, Stein DJ, Kaplan MS, Voon V, Abdo CHN, Grant JE, Atalla E, Reed GM 2018, World Psychiatry 17(1):109-110, doi:10.1002/wps.20499, PMID 29352554, PMC5775124

Religiosity and moral disapproval predict feeling addicted to pornography even after controlling for how much someone actually uses.

• Grubbs JB, Exline JJ, Pargament KI, Hook JN, Carlisle RD 2015, Arch Sex Behav 44(1):125-136, doi:10.1007/s10508-013-0257-z, PMID 24519108
• Grubbs JB & Perry SL 2019, J Sex Res 56(1):29-37, doi:10.1080/00224499.2018.1427204, PMID 29412013

The frequency × moral-disapproval interaction predicts felt addiction for pornography and gambling, but not for tobacco or illicit drugs.

• Grubbs JB, Floyd CG, Griffin KR, Jennings TL, Kraus SW 2022, Psychol Addict Behav 36(7):749-761, doi:10.1037/adb0000876, PMID 36048067 (registered report)

In a US nationally representative sample of adult internet users (N = 2,075), around 11% of men and 3% of women reported some level of perceived addiction.

• Grubbs JB, Kraus SW, Perry SL 2019, J Behav Addict 8(1):88-93, doi:10.1556/2006.7.2018.134, PMID 30632378, PMC7044607

A meta-analysis of 50 studies (50,000+ people, ten countries) found pornography consumption unrelated to intrapersonal satisfaction (body and self), but associated with lower interpersonal satisfaction — sexual and relational — across cross-sectional, longitudinal and experimental designs. The association is small, and analyses by sex were significant for men only. Reported effect sizes include r = −.13 (95% CI −.16, −.10, k = 29) for men on interpersonal satisfaction, r = −.11 (95% CI −.14, −.07) for sexual satisfaction and r = −.09 (95% CI −.12, −.05, k = 24) for relational satisfaction.

• Wright PJ, Tokunaga RS, Kraus A & Klann E 2017, Human Communication Research 43(3):315-343, doi:10.1111/hcre.12108

Across 30 national surveys and 31 relationship-quality measures, roughly half of the tested associations were significantly negative and roughly half were null.

• Perry SL 2020, Arch Sex Behav 49(4):1199-1213, doi:10.1007/s10508-019-01616-7, PMID 31897829

Some studies find curvilinear rather than linear effects — occasional use looks different from heavy use.

• Willoughby BJ, Leonhardt ND & Augustus RA 2021, Computers in Human Behavior 125:106966, doi:10.1016/j.chb.2021.106966

Porn-induced erectile dysfunction is a clinical hypothesis supported by case reports and clinician reports. Frequency-based population studies have not produced consistent associations, and the one longitudinal study to measure erectile function with a validated instrument over a year found that self-reported problematic use correlated with erectile difficulty at any single moment, that mere use did not, and that no pornography variable predicted the trajectory of erectile function. It remains contested.

• Park BY, Wilson G, Berger J, Christman M, Reina B, Bishop F, Klam WP, Doan AP 2016, Behav Sci 6(3):17, doi:10.3390/bs6030017, PMID 27527226, PMC5039517 — carries a 2018 correction, Behav Sci 8(6):55, doi:10.3390/bs8060055, PMID 29857562, disclosing that co-author Gary Wilson is the author of Your Brain on Porn and removing the academic editor's name; see C58
• Cuts toward an association — Jacobs T, Geysemans B, Van Hal G, Glazemakers I, Fog-Poulsen K, Vermandel A, De Wachter S, De Win G 2021, JMIR Public Health Surveill 7(10):e32542, doi:10.2196/32542, PMID 34534092, PMC8569536
• A practitioner magazine commentary, not a peer-reviewed study — Kirby M 2021, Trends in Urology & Men's Health 12(2):6-10, doi:10.1002/tre.791
• Grubbs JB & Gola M 2019, J Sex Med 16(1):111-125, doi:10.1016/j.jsxm.2018.11.004, PMID 30621919
• Dwulit & Rzymski 2019, J Clin Med 8(7):914, PMID 31247949
• Landripet & Štulhofer 2015, J Sex Med 12(5):1136-1139, PMID 25816904
• Prause & Pfaus 2015, Sex Med 3(2):90-98, PMID 26185674
• Not a retraction — a published Comment on Prause & Pfaus 2015: Isenberg RA 2015, Sex Med 3(3):219-221, doi:10.1002/sm2.71

Park et al. 2016 argue that rates of erectile difficulty and low desire in men under 40 appear higher in studies published after 2006, when the first internet video tube sites appeared, than in earlier ones. That comparison rests on that paper alone. Causation is not established and measurement differs across studies. Separately, a 2025 narrative review reports that recent studies find rising erectile-dysfunction prevalence among younger men, without the 2006 cut-point and without any low-desire trend.

• Park BY, Wilson G, Berger J, Christman M, Reina B, Bishop F, Klam WP, Doan AP 2016, Behav Sci 6(3):17, doi:10.3390/bs6030017, PMID 27527226, PMC5039517 — carries a 2018 correction, Behav Sci 8(6):55, doi:10.3390/bs8060055, PMID 29857562, disclosing that co-author Gary Wilson is the author of Your Brain on Porn and removing the academic editor's name; see C58
• Supports only the general trend in younger men, not the 2006 cut-point and not low desire — Safa A & Waked C 2025, Cureus 17(8):e89918, doi:10.7759/cureus.89918, PMID 40809937, PMC12349891

A randomised trial of 12-session ACT (n=28 adult men, all but one from the same religious community) found a 93% reduction in viewing against 21% in a waitlist group; 54% complete cessation at post-treatment, 35% at three-month follow-up, with 74% still showing at least a 70% reduction. Small, narrow sample.

• Crosby & Twohig 2016, Behavior Therapy 47(3):355-366, doi:10.1016/j.beth.2016.02.001, PMID 27157029

Meta-analytic evidence supports CBT and ACT for problematic pornography use and related depressive symptoms, but the studies carry a high risk of bias and small samples.

• López-Pinar C, Esparza-Reig J & Bőthe B 2025, J Behav Addict 14(2):630-643, doi:10.1556/2006.2025.00018, PMID 40126561

A systematic review of 47 prospective short-term abstinence studies across six behaviours found abstinence shows promise for pornography use, while noting that counterproductive effects — rebound, compensatory behaviour — were poorly measured.

• Fernandez DP, Kuss DJ & Griffiths MD 2020, Clin Psychol Rev 76:101828, doi:10.1016/j.cpr.2020.101828, PMID 32062303

A qualitative analysis of 104 rebooting abstinence journals found abstinence felt impossible at first and became attainable with cognitive-behavioural strategies plus social support. The benefits members attributed to abstinence were a regained sense of control over their use, and improvements in mood, energy, mental clarity, focus, confidence, motivation and productivity, less emotional numbness, and social and sexual functioning. Sleep is not among them — the paper's only mention of sleep is a healthier sleep routine adopted as one of the lifestyle changes made to support abstinence. The same paper is also the only systematic catalogue of what members themselves say triggers them: external cues (electronic media and social feeds, seeing attractive people in real life, being alone in one's bedroom), internal cues, chiefly negative affect, and the "chaser effect" — cravings that follow any sexual activity engaged in during abstinence. Alcohol appears nowhere in it. Self-report only; third variables not ruled out.

• Fernandez, Kuss & Griffiths 2021, Archives of Sexual Behavior 50(2):711-728, doi:10.1007/s10508-020-01858-w, PMID 33403533, PMC7889567

A preregistered survey of men recruited from reboot communities found perceived relapse commonly followed by shame, worthlessness, sadness and in some cases suicidal thoughts. The same survey asked what participants had seen on NoFap forums: 73.7% reported misogynist posts, 49.1% bullying, 42.9% anti-LGBT, 32.0% antisemitic, 23.5% posts instructing followers to harm or kill themselves and 21.1% threats to hurt someone else. The sample is self-selected and not representative, and these are participant reports rather than a count of forum content.

• Prause N & Binnie J 2023, Sexualities 27(8):1608-1640, doi:10.1177/13634607231157070

No sound evidence supports the day-seven testosterone peak, and nothing supports a sustained hormonal benefit from long-term retention. The widely repeated "testosterone peaks on day seven" figure rests on a single study of 28 men that was retracted in 2021, was published twice, and has never been independently replicated. A separate ten-man study did find testosterone higher after three weeks of abstinence, but that is a different design testing a different question, and it has not been replicated either.

• Jiang M, Xin J, Zou Q, Shen JW, J Zhejiang Univ Sci 2003;4(2):236-240, doi:10.1631/jzus.2003.0236, PMID 12659241 — RETRACTED 10 December 2021 (Retraction Note doi:10.1631/jzus.2003.r236)
• The duplicate publication that caused the retraction: Jiang M, Sheng Li Xue Bao 2002;54(6):535-538 (in Chinese), PMID 12506329
• Not a replication: Exton et al. 2001, World J Urol 19(5):377-382, doi:10.1007/s003450100222, PMID 11760788

Claims that semen retention raises pheromones, attracts partners, or produces superpowers have no supporting evidence.

• No credible evidence base

The "flatline" — a period of dropped libido, mood or arousal during abstinence — is consistently reported in abstinence journals and is named in the review literature, but it has never been measured prospectively or in a general population.

• Fernandez DP, Kuss DJ & Griffiths MD 2021, Arch Sex Behav 50(2):711-728, doi:10.1007/s10508-020-01858-w, PMID 33403533, PMC7889567
• Mead D & Sharpe M 2020, Int J Environ Res Public Health 17(10):3462, doi:10.3390/ijerph17103462
• Ince C, Antons S, Ashton S, Borgogna NC, Brand M, Briken P, Castro-Calvo J, Chen L, Coleman E, Efrati Y, Fernández DP, Fuss J et al. 2026, J Behav Addict 15(1):32-98, doi:10.1556/2006.2025.00337, PMID 41879870, PMC13132360

Anti-masturbation anxiety was consolidated by the anonymous English tract Onania and by Tissot's L'Onanisme (French 1760, Latin 1758). Onania's date is contested: commonly given as c.1712, argued by Stolberg to be 1716, with recent estimates spanning 1708-1716 and the earliest surviving copy the 4th edition of 1718. Its authorship is unknown. Tissot popularised the claim that semen was worth many times its volume in blood but did not originate it: his 1758 Latin credits Galen and gives half an ounce, and the 1760 French drops Galen for "the physicians of all ages". The ratio has been traced to Avicenna's Book on Animals (c.1027), reaching Latin Europe through Michael Scot's translation, finalised c.1215 — where the comparison is not a fixed ratio but the claim that losing semen weakens a man more than losing forty times as much blood. Historians dispute whether Onania marks a genuine rupture (Laqueur) or repackages anxieties already present in earlier theological and medical discourse (Stolberg).

• Stolberg M 2000, "Self-Pollution, Moral Reform, and the Venereal Trade: Notes on the Sources and Historical Context of Onania (1716)", Journal of the History of Sexuality 9(1/2):37-61, University of Texas Press
• Not the paper this entry cites, but the reason the bare "Stolberg 2000" was ambiguous — Stolberg M 2000, "An Unmanly Vice: Self-Pollution, Anxiety, and the Body in the Eighteenth Century", Social History of Medicine 13(1):1-22, doi:10.1093/shm/13.1.1
• Janssen DF 2025, "'Forty Drops of Blood Make One Drop of Semen': A Well-Traveled Aphorism", J Psychosexual Health 7(2):187-191, doi:10.1177/26318318251326159, for the ratio's transmission
• Laqueur TW 2003, Solitary Sex: A Cultural History of Masturbation, New York: Zone Books, ISBN 1-890951-32-3

John Harvey Kellogg prescribed a plain, deliberately unstimulating grain diet as one of several treatments meant to suppress masturbation (Plain Facts about Sexual Life, 1877, pp. 311-13: "Graham flour, oatmeal, and ripe fruit are indispensables of a dietary for those who are suffering from sexual excesses"), and Sylvester Graham had made the same diet-and-chastity argument in 1834. That much is well established. The further claim that this campaigning motivated the invention of corn flakes is NOT supported: flaked cereal was developed at the sanitarium in 1894 and patented in 1896 as an easily digested food "particularly well adapted for sick and convalescent persons", corn flakes specifically followed in 1898, and no edition of Plain Facts examined (1877, 1881, 1910) mentions them. Graham likewise promoted graham flour and bread, not the branded cracker, which Nabisco mass-produced in 1898, 47 years after his death.

• Kellogg, Plain Facts about Sexual Life, Battle Creek 1877, pp. 233ff., 311-13 (the title Plain Facts for Old and Young, which this register used to pair with 1877, first appears in 1881)
• US Patent 558,393, filed 31 May 1895, issued 14 April 1896 — https://patents.google.com/patent/US558393A/en ("Flaked cereals and process of preparing same")
• Graham, A Lecture to Young Men on Chastity, 1834, pp. 59-60
• Markel H 2017, The Kelloggs: The Battling Brothers of Battle Creek, New York: Pantheon, ISBN 978-0-307-90727-1
• Not a source for the corn flakes link — Laqueur TW 2003, Solitary Sex: A Cultural History of Masturbation, New York: Zone Books, ISBN 978-1-890951-32-0, which mentions Kellogg once in passing (p. 46) and never discusses corn flakes

Nineteenth-century cures included genital surgery on children, restraint devices, and dietary regimes.

• Hunt A 1998, "The Great Masturbation Panic and the Discourses of Moral Regulation in Nineteenth- and Early Twentieth-Century Britain", Journal of the History of Sexuality 8(4):575-615, PMID 11620475
• Stengers J & Van Neck A 2001, Masturbation: The History of a Great Terror, trans. Kathryn Hoffmann, New York: Palgrave Macmillan, ISBN 0-312-22443-5 (French original: Histoire d'une grande peur, la masturbation, Bruxelles: Éditions de l'Université de Bruxelles, 1984)

No Nut November began as an Urban Dictionary entry in November 2011 and spread widely in November 2017. Rolling Stone reports that it was created as a parody of viral challenges such as the Ice Bucket Challenge.

• Know Your Meme, "No Nut November / NNN", entry added 4 December 2017, https://knowyourmeme.com/memes/no-nut-november
• Dickson EJ, "How a New Meme Exposes the Far-Right Roots of #NoNutNovember", Rolling Stone, 8 November 2019, https://www.rollingstone.com/culture/culture-features/coomer-meme-no-nut-november-nofap-908676/
• Cole S, "Let This Be the Last No Nut November", Vice, 30 November 2018, https://www.vice.com/en/article/let-this-be-the-last-no-nut-november-nofap-meme-explained/

Journalists have reported far-right and conspiratorial activity in NoFap and No Nut November communities, and a 2025 discourse study examines NoFap as a route into right-wing politics. The one survey to measure anything here asked NoFap users what they had seen on the forums: 73.7% reported misogynist posts, 42.9% anti-LGBT and 32.0% antisemitic. That is participant recall of forum content, not a measure of the movement.

• Dickson EJ, "How a New Meme Exposes the Far-Right Roots of #NoNutNovember", Rolling Stone, 8 November 2019, https://www.rollingstone.com/culture/culture-features/coomer-meme-no-nut-november-nofap-908676/
• Cole S, "Let This Be the Last No Nut November", Vice, 30 November 2018, https://www.vice.com/en/article/let-this-be-the-last-no-nut-november-nofap-meme-explained/
• Klee M, "No Nut November? Sorry, Boys, It's Your Patriotic Duty to Get Off All Month", MEL Magazine, 1 November 2018, https://melmagazine.com/en-us/story/no-nut-november-nofap-masturbation-abstinence-right-wing-extremism
• Burnett S, Borba R & Hiramoto M 2025, "Hailing, Voicing, and Masturbation Abstention: NoFap's Role in Socializing Young Men into the Right-Wing Politics of Ressentiment", Journal of Right-Wing Studies 2(2), doi:10.5070/RW3.1623
• Prause N & Binnie J 2023, Sexualities 27(8):1608-1640, doi:10.1177/13634607231157070

Daoist jing and Hindu brahmacharya both frame the conservation of vital essence as a spiritual discipline — in the Daoist bedchamber literature chiefly through non-ejaculatory practice rather than abstinence, and in modern North Indian brahmacharya discourse through an explicit equation of semen with vitality. These are spiritual and philosophical traditions, not empirical findings.

• Harper DJ 1998, Early Chinese Medical Literature: The Mawangdui Medical Manuscripts, London: Kegan Paul International, ISBN 0-7103-0582-6 (Routledge reissue doi:10.4324/9780203039106)
• Wile D 1992, Art of the Bedchamber: The Chinese Sexual Yoga Classics, Albany: SUNY Press, ISBN 0-7914-0886-8, doi:10.2307/jj.18254368
• Kohn L 2007, "Sexual Control and Daoist Cultivation", in Olson C (ed.), Celibacy and Religious Traditions, Oxford University Press, pp. 241-264, doi:10.1093/acprof:oso/9780195306316.003.0013
• Woods JH (trans.) 1914, The Yoga-System of Patañjali, Harvard Oriental Series 17, Harvard University Press — Yoga Sūtra II.38 at p. 187 — https://archive.org/details/yogasystemofpata00wooduoft
• Alter JS 1997, "Seminal Truth: A Modern Science of Male Celibacy in North India", Medical Anthropology Quarterly 11(3):275-298, doi:10.1525/maq.1997.11.3.275, PMID 9292858

Marlatt's relapse-prevention model identifies the Abstinence Violation Effect: after a lapse, attributing it to a permanent personal flaw predicts a full return to the behaviour.

• Marlatt GA & Gordon JR (eds) 1985, Relapse Prevention: Maintenance Strategies in the Treatment of Addictive Behaviors, New York: Guilford Press, ISBN 0-89862-009-0
• Curry S, Marlatt GA & Gordon JR 1987, J Consult Clin Psychol 55(2):145-149, doi:10.1037/0022-006X.55.2.145

In a randomised study of 123 undergraduate smokers undergoing a cue-exposure procedure, brief urge-surfing instructions did not reduce reported urges but did reduce smoking over the following seven days.

• Bowen & Marlatt 2009, Psychology of Addictive Behaviors 23(4):666-671, doi:10.1037/a0017127, PMID 20025372

Suppressing a thought tends to make it more frequent once you stop suppressing — the rebound effect, found consistently across 31 experiments. Whether the thought increases while you are still suppressing it shows up only under additional cognitive load. On sexual thoughts specifically the evidence is indirect: the one study in this area is a cross-sectional survey of religious adolescents that models suppression as a mediator, not as a cause.

• Wang D, Hagger MS & Chatzisarantis NLD 2020, "Ironic Effects of Thought Suppression: A Meta-Analysis", Perspectives on Psychological Science 15(3):778-793, doi:10.1177/1745691619898795
• Does not report a rebound effect — Efrati Y 2019, "God, I Can't Stop Thinking About Sex! The Rebound Effect in Unsuccessful Suppression of Sexual Thoughts Among Religious Adolescents", J Sex Res 56(2):146-155, doi:10.1080/00224499.2018.1461796, PMID 29702013

Research on problematic pornography use has been predominantly male-focused, and data on women are comparatively sparse. In the largest standardised cross-national study — 82,243 respondents across 42 countries, but a self-selected sample that is 74% tertiary-educated and which the authors state is not probability-based — 0.72% of the women who completed the PPCS met its cut-off, 2.96% the PPCS-6 and 7.01% the Brief Pornography Screen, against 6.26%, 18.60% and 28.92% of men. The lower figures quoted for women come from probability samples asking a single self-perceived-addiction question: 1% in Australia and 3% in the United States. So the spread is partly instrument and cut-off, and partly that the low end and the high end are not measuring the same thing. Whether women face greater stigma for use is asserted in the secondary literature but has not been measured.

• Bőthe B, Nagy L, Koós M, Demetrovics Z, Potenza MN, International Sex Survey Consortium, Kraus SW 2024, Addiction 119(5):928-950, doi:10.1111/add.16431, PMID 38413365
• Rissel C, Richters J, de Visser RO, McKee A, Yeung A, Caruana T 2017, J Sex Res 54(2):227-240, doi:10.1080/00224499.2016.1191597, PMID 27419739 — 1% of Australian women, single-item self-perceived addiction
• Grubbs JB, Kraus SW, Perry SL 2019, J Behav Addict 8(1):88-93, doi:10.1556/2006.7.2018.134, PMID 30632378, PMC7044607 — 3% of US women, single-item self-perceived addiction
• Not a source for this entry — Klau et al. 2026, J Sex Med 23(6), doi:10.1093/jsxmed/qdag155: the route by which the "1-23%" figure this register used to carry arrived, and the reason it was dropped. The Polish 23% it passes on is traced in `source`; the Lewczuk 2022 paper behind it could not be resolved to a single record and is therefore not cited here as one.

Sexual minority men and women tend to report higher problematic use than heterosexual peers, with exceptions by instrument and subscale. The largest cross-national study to test it found no sexual-orientation differences at all.

• Borgogna NC, Griffin KR, Grubbs JB & Kraus SW 2022, "Understanding Differences in Problematic Pornography Use: Considerations for Gender and Sexual Orientation", J Sex Med 19(8):1290-1302, doi:10.1016/j.jsxm.2022.05.144, PMID 35753890
• Cuts the other way — Bőthe B, Nagy L, Koós M, Demetrovics Z, Potenza MN, International Sex Survey Consortium, Kraus SW 2024, Addiction 119(5):928-950, doi:10.1111/add.16431, PMID 38413365

The UK Online Safety Act's duty to use "highly effective age assurance" on services publishing pornography came into force in January 2025, and the wider protection-of-children duties on 25 July 2025, which is when most services actually deployed age checks. Ofcom reported over 69 million age checks across 32 sampled services between July and December 2025, a 23-fold increase on the previous six months; age assurance on all of the UK's top ten pornography services and on 64 of the top 100 as of June 2026; and, among 8-17s who recalled being asked to prove their age, a rise from 25% in July 2025 to 43% in January 2026 in the share meeting a highly effective check. Estimated daily UK VPN users roughly doubled, from about 1.2 million before 25 July 2025 to about 2.2 million.

• Ofcom 2026, Report on the use of age assurance (report prepared under s157 of the Online Safety Act 2023), published 15 July 2026, https://www.ofcom.org.uk/online-safety/protecting-children/use-of-age-assurance-report-2026

Habitual behaviour is usefully taught as a four-part loop — cue, craving, behaviour, relief — in which the relief reinforces the cue-behaviour link. This is a teaching model from popular behaviour-change writing, not a finding. The established science underneath it is narrower: habits are context-response associations strengthened by repetition in a stable context, and whether a craving is a necessary stage is exactly the contested part.

• Wood & Rünger 2016, Annual Review of Psychology 67:289-314, doi:10.1146/annurev-psych-122414-033417, PMID 26361052

Implementation intentions - plans in the form "if situation X, then I will do Y" - reliably improve goal attainment. Across 94 independent tests the effect was d = .65, which the authors describe as medium-to-large.

• Gollwitzer & Sheeran 2006, Advances in Experimental Social Psychology 38:69-119, doi:10.1016/S0065-2601(06)38002-1

The Problematic Pornography Consumption Scale measures problematic use through the six components of Griffiths' (2005) model - salience, mood modification, tolerance, withdrawal, conflict and relapse. Not every instrument in the field is built this way: the Brief Pornography Screen, which produces the highest prevalence figures quoted at C05 and C06, is a short screen rather than a six-component measure. The tolerance subscale is three items, only one of which concerns content — "I gradually watched more 'extreme' porn, because the porn I watched before was less satisfying" — so most published escalation findings rest on one retrospective self-report question (see C55).

• Bőthe B, Tóth-Király I, Zsila Á, Griffiths MD, Demetrovics Z, Orosz G 2018, "The Development of the Problematic Pornography Consumption Scale (PPCS)", J Sex Res 55(3):395-406, doi:10.1080/00224499.2017.1291798, PMID 28276929

Sleep loss reliably degrades emotional functioning; its effect on impulse control is smaller and less consistent. Meta-analysis of 154 experimental studies finds sleep loss reduces positive affect, raises anxiety symptoms and blunts arousal in response to emotional stimuli. For inhibitory control the picture is mixed: a single night of restricted sleep produces no detectable effect, and across the wider executive-function literature the effect on interference inhibition is small for accuracy - though the same meta-analysis reports medium to near-large effects on reaction-time measures and concludes that sleep loss damages all executive-function components. Attention is the part of daytime cognition sleep loss most reliably degrades: after a single night restricted to 2-6 hours, sleepiness rises (SMD 0.986) and sustained attention is impaired, while working memory, choice reaction time, cognitive throughput and inhibitory control show no significant effect.

• Palmer et al. 2024, Psychological Bulletin 150(4):440-463, doi:10.1037/bul0000410, PMID 38127505
• Wüst LN, Capdevila NC, Lane LT, Reichert CF, Lasauskaite R 2024, Sleep Med Rev 76:101940, doi:10.1016/j.smrv.2024.101940, PMID 38759474
• Cao, Xie & Ma 2025, Sleep Med Rev 84:102163, doi:10.1016/j.smrv.2025.102163, PMID 40946426
• Killgore WDS 2010, Prog Brain Res 185:105-129, doi:10.1016/B978-0-444-53702-7.00007-5, PMID 21075236
• Could not retrieve — Yoo et al. 2007, Curr Biol 17(20):R877-878, doi:10.1016/j.cub.2007.08.007, PMID 17956744

Shame is a concealment emotion associated with withdrawal and hiding, and predicts poorer behaviour-change outcomes than guilt, which is behaviour-focused and action-oriented.

• Tangney JP, Stuewig J & Mashek DJ 2007, Annual Review of Psychology 58:345-372, doi:10.1146/annurev.psych.56.091103.070145, PMID 16953797, PMC3083636
• Tangney JP & Dearing RL 2002, Shame and Guilt, New York: Guilford Press, ISBN 978-1-57230-987-6

Concealing pornography use from a partner is associated with greater distress and lower relationship satisfaction than using openly. Whether being found out is worse than telling them - the comparison the phrase "discovers rather than being told" implies - has not been tested.

• Resch & Alderson 2014, J Sex Marital Ther 40(5):410-424, doi:10.1080/0092623X.2012.751077, PMID 23898992
• Zitzman & Butler 2009, Sexual Addiction & Compulsivity 16(3):210-240, doi:10.1080/10720160903202679
• Dropped as a source, because it does not contain this claim — Olmstead et al. 2013, Arch Sex Behav 42(4):625-635, doi:10.1007/s10508-012-9986-7, PMID 22886349

Problematic pornography use tracks distress better than overall frequency of use does. People who use frequently without distress and people who use frequently with it are distinguishable, and it is the problematic group that differs on mental-health measures - most clearly on depressive symptoms and self-esteem. Adult ADHD symptoms are a further replicated correlate (see C51), measured almost entirely by screening questionnaire rather than diagnosis. Loneliness is a further cross-sectional correlate of pornography use, measured once in a sample of 1,247 and modelled by its authors as potentially bidirectional.

• Bőthe B, Tóth-Király I, Potenza MN, Orosz G, Demetrovics Z 2020, J Sex Med 17(4):793-811, doi:10.1016/j.jsxm.2020.01.007
• Butler MH, Pereyra SA, Draper TW, Leonhardt ND & Skinner KB 2018, J Sex Marital Ther 44(2):127-137, doi:10.1080/0092623X.2017.1321601, PMID 28448246 (published online 2017)
• Dropped as a source, because it does not resolve to a paper containing this claim — Grubbs et al. 2020, Clin Psychol Rev 82:101925, doi:10.1016/j.cpr.2020.101925, PMID 33038740, whose systematic review of 415 studies cuts the other way on confidence

Nightshore is a paid subscription product, and companies in this market - apps, blockers, coaching, residential programmes, supplements - have a financial incentive favouring the addiction framing. This is a disclosure about the app and the market it sits in, not an empirical finding. This applies with extra force to AI sexual products, whose commercial model is open-ended generation: a generator has no last video the way a tube site has a last page, and the same incentive that favours the addiction framing here favours unlimited engagement there. Both statements are observations about who profits from what, not measured findings.

• docs/premium.md — this app's own commercial position, which the first half of the entry is a fact about
• Lapointe et al. 2025, doi:10.1007/s10508-025-03099-1
• Not cited as evidence of an effect, and not peer reviewed — Knox et al. 2025, arXiv:2511.14972
• Not cited as evidence of an effect, and not peer reviewed — Chen & Hiniker 2026, arXiv:2609.14696

Increasing the friction of a behaviour - moving the cue further away, reducing availability, breaking the sequence that leads to it - reduces how often it occurs. The direction is consistently found and the effects are moderate, but the evidence is graded low-certainty, comes mostly from short laboratory studies of food, and has never been compared head-to-head with intention-based approaches. What is separately well established is that intentions on their own translate weakly into behaviour.

• Hollands et al. 2019, Cochrane Database of Systematic Reviews CD012573.pub3, doi:10.1002/14651858.CD012573.pub3, PMID 31482606
• Webb & Sheeran 2006, Psychological Bulletin 132(2):249-268, doi:10.1037/0033-2909.132.2.249
• Wood & Neal 2007, Psychological Review 114(4):843-863, doi:10.1037/0033-295X.114.4.843

Dopamine is more closely associated with the anticipation and pursuit of a reward - "wanting" - than with the pleasure of consuming it - "liking".

• Berridge & Robinson 1998, Brain Research Reviews 28(3):309-369, doi:10.1016/S0165-0173(98)00019-8, PMID 9858756
• Berridge 2007, Psychopharmacology 191(3):391-431, doi:10.1007/s00213-006-0578-x, PMID 17072591

Identity-consistent self-description travels with habit maintenance; which one pulls the other is not established.

• Verplanken & Sui 2019, Frontiers in Psychology 10:1504, doi:10.3389/fpsyg.2019.01504, PMID 31354563
• Oyserman, Fryberg & Yoder 2007, J Pers Soc Psychol 93(6):1011-1027, doi:10.1037/0022-3514.93.6.1011, PMID 18072851

In a nationally representative Australian survey, 84% of men and 54% of women had ever looked at pornography. Among those ever-users, 76% of the men and 41% of the women had looked in the past year — which is roughly 64% of all men and 22% of all women surveyed.

• Rissel et al. 2017, J Sex Res 54(2):227-240, doi:10.1080/00224499.2016.1191597, PMID 27419739

Anxiety is associated with problematic pornography use, but the association is small and rests almost entirely on cross-sectional self-report. The only meta-analysis to pool it puts the correlation between pornography consumption and anxiety at r = 0.16 (95% CI 0.08-0.25) across six studies - significant among the cohorts measuring problematic or self-labelled addictive use (r = 0.19, 95% CI 0.07-0.30, six cohorts) and not significant in the single cohort measuring general use. The review that looked hardest at the question, covering 40 studies of anxiety and compulsive sexual behaviour, concluded that the relationship between the two is unclear.

• Tan JY, Low CE, Wong HJ, Sim IY, Lee CYC, Ding HR, Loke S, Ho CSH 2026, J Clin Med 15(13):5030, doi:10.3390/jcm15135030, PMID 42452491
• Borgogna, Duncan & McDermott 2018, Sex Addict Compulsivity 25:293-318, doi:10.1080/10720162.2019.1567410
• Guidry, Floyd, Volk & Moen 2020, J Sex Marital Ther 46:103-121, doi:10.1080/0092623X.2019.1654579
• Grant Weinandy JT, Lee B, Hoagland KC, Grubbs JB, Bőthe B 2023, J Sex Res 60(4):545-557, doi:10.1080/00224499.2022.2066616, PMID 35482896
• Grubbs JB, Stauner N, Exline JJ, Pargament KI, Lindberg MJ 2015, Psychol Addict Behav 29(4):1056-1067, doi:10.1037/adb0000114, PMID 26372200

No study shows that pornography use causes anxiety. The largest longitudinal test finds the link between problematic use and distress is a stable difference between people rather than something that moves within a person over time; a second large cohort finds small effects running in both directions. Treating problematic use has not been shown to reduce anxiety either, although the trial evidence on that point is far too thin to call it a null.

• Engelhardt R, Geppert R, Grubbs JB, von Oertzen T, Trommer D, Maes J, Kraus SW 2025, Addict Behav 169:108398, doi:10.1016/j.addbeh.2025.108398, PMID 40483829
• Wicki M, Studer J, Marmet S, Khazaal Y, Gmel G 2025, J Behav Addict 14(3):1250-1266, doi:10.1556/2006.2025.00078, PMID 40952791
• López-Pinar C, Esparza-Reig J, Bőthe B 2025, J Behav Addict 14(2):630-643, doi:10.1556/2006.2025.00018, PMID 40126561

ADHD symptoms and problematic pornography use co-occur more often than chance. The association replicates across countries, sexes and designs; its size depends heavily on the sample and the instrument. In a large self-selected online sample (N=14,043) self-reported adult ADHD symptoms had a moderate association with problematic pornography use in men (β = .45) and a weak one in women (β = .26), and a moderate association with hypersexuality in both (β = .50 men, .43 women). In treatment-seeking samples the figure is a prevalence rather than a correlation: a meta-analysis of seven studies (N=730 patients with hypersexuality or paraphilic disorders) put ADHD at 22.6% (95% CI 17–29.4%), against pooled general-population estimates of 2.58% for persistent adult ADHD and 6.76% for symptomatic adult ADHD. Two things stop this being a prevalence figure for pornography users: the clinical samples are people already in treatment for hypersexuality, which is not the same population, and almost every large study measures ADHD with a screening questionnaire rather than a diagnosis — the screener used in the largest study flagged 18.1% of men and 21.4% of women, which its own authors attribute in part to the low specificity of adult ADHD screens.

• Bőthe B, Koós M, Tóth-Király I, Orosz G, Demetrovics Z 2019, J Sex Med 16(4):489-499, doi:10.1016/j.jsxm.2019.01.312, PMID 30852107
• Korchia T, Boyer L, Deneuville M, Etchecopar-Etchart D, Lancon C, Fond G 2022, Eur Arch Psychiatry Clin Neurosci 272(8):1413-1420, doi:10.1007/s00406-022-01421-9, PMID 35551451
• Song P et al. 2021, J Glob Health 11:04009, doi:10.7189/jogh.11.04009, PMID 33692893
• Lewczuk K et al. 2024, J Atten Disord 28(4):512-530, doi:10.1177/10870547231215518, PMID 38180045
• Zhang Y, Chen L, Jiang X, Bőthe B 2022, Int J Environ Res Public Health 19(22):15221, PMID 36429937
• Niazof D, Weizman A, Weinstein A 2019, Compr Psychiatry 93:56-60, PMID 31349137
• Schreck B et al. 2023, Eur Addict Res 29(3):161-170, PMID 37088070
• El Archi S et al. 2023, J Atten Disord 27(7):731-742, PMID 36945199

Which way that association runs, and whether it should change anything about treatment, is unsettled. The only prospective test in a general-population cohort — 5,611 Swiss men followed from mean age 25.5 to 28.3 — found the paths run in both directions and at about the same size: baseline ADHD symptoms predicted later increases in problematic pornography use (β = 0.103, 95% CI 0.038 to 0.167) and baseline problematic pornography use predicted later increases in ADHD symptoms (β = 0.097, 95% CI 0.053 to 0.141), with overlapping confidence intervals. On mechanism the literature contradicts itself: one online survey found impulsivity mediated the link, while the only clinical study to decompose ADHD found that among 81 men in treatment for hypersexual behaviour it was the Problems with Self-Concept subscale that predicted sexual compulsivity, and that the impulsivity, inattention, memory and hyperactivity subscales added no predictive variance. And no treatment study has tested it: the most comprehensive meta-analysis of psychotherapy for problematic pornography use (20 studies, 2,021 participants) tested sample diagnosis, intervention type, delivery, format, comparison group, mean age, proportion male, number of sessions and proportion religious as moderators, and does not mention ADHD anywhere in its text. There is therefore no evidence that ADHD calls for a different method, and no evidence that it does not.

• Wicki M, Studer J, Marmet S, Khazaal Y, Gmel G 2025, J Behav Addict 14(3):1250-1266, doi:10.1556/2006.2025.00078, PMID 40952791, PMC12486285
• López-Pinar C, Esparza-Reig J, Bőthe B 2025, J Behav Addict 14(2):630-643, doi:10.1556/2006.2025.00018, PMID 40126561, PMC12231474
• Reid RC, Carpenter BN, Gilliland R, Karim R 2011, J Addict Med 5(2):134-140, doi:10.1097/ADM.0b013e3181e6ad32, PMID 21769059
• Zhang Y, Chen L, Jiang X, Bőthe B 2022, Int J Environ Res Public Health 19(22):15221, PMID 36429937
• Nearest thing to a treatment signal, and too weak to build on — Grassi G, Moradei C, Cecchelli C 2024, J Behav Addict 13(4):904-912, doi:10.1556/2006.2024.00060, PMID 39540888
• Pointing the other way — a retrospective TriNetX cohort of over 600,000 adolescents with ADHD, J Sex Med 2025;22(5):701-710, doi:10.1093/jsxmed/qdaf054, PMID 40192478
• Not used — Jannini TB et al. 2026, Br J Psychiatry, doi:10.1192/bjp.2026.10691, PMID 42464926

Sexual images interfere with cognitive performance while they are in front of you. In a laboratory working-memory task, performance was worse in the pornographic-picture condition than with neutral, positive or negative pictures (n=28 healthy adults); men in treatment for compulsive sexual behaviour were slowed by pornographic backgrounds in proportion to how much pornography they had used that week (38 patients, 31 controls); and men scoring higher on a problematic-use measure handled a multitasking paradigm mixing pornographic and non-pornographic images less evenly than others, either over-working or avoiding the pornographic set (n=104). Performance away from sexual cues is a separate question, and the answer there is much weaker. In a laboratory comparison of high- versus low-severity problematic pornography use, the two groups did not differ on standard executive-function tests with no sexual stimuli present, differing only on self-reported impulsivity. The largest clinically validated study does find a general deficit, but a small one and not specific to pornography: across gaming, buying-shopping, pornography and social-network use, the pathological-use group performed worst on every cognitive task, with effect sizes at or below partial eta-squared = 0.06, while the risky-use and non-problematic groups barely differed on any behavioural measure.

• Laier, Schulte & Brand 2013, J Sex Res 50(7):642-652, doi:10.1080/00224499.2012.716873, PMID 23167900
• Sinke et al. 2020, NeuroImage Clin 27:102308, doi:10.1016/j.nicl.2020.102308, PMID 32599553
• Schiebener, Laier & Brand 2015, J Behav Addict 4(1):14-21, doi:10.1556/JBA.4.2015.1.5, PMID 25786495
• Müller & Antons 2023, Front Psychiatry 14:1191297, doi:10.3389/fpsyt.2023.1191297, PMID 37564242
• Müller et al. 2025, Am J Psychiatry 182(7):660-670, doi:10.1176/appi.ajp.20240486, PMID 40432342
• Counterweight the entry is graded against — Draps et al. 2021, J Behav Addict 10(3):657-674, doi:10.1556/2006.2021.00056, PMID 34550905
• Counterweight the entry is graded against — Grant & Chamberlain 2023, CNS Spectr 28(3):357-360, doi:10.1017/S1092852922000785, PMID 35593452
• Counterweight the entry is graded against — Christensen et al. 2024, J Behav Addict 13(3):823-840, doi:10.1556/2006.2024.00041, PMID 39141435
• Not a source for pornography specifically — Ioannidis et al. 2019, Br J Psychiatry 215(5):639-646, doi:10.1192/bjp.2019.3, PMID 30784392

"Brain fog" - concentration difficulty and slowed thinking in the hours after a heavy session - is reported consistently by people who identify a problem with their pornography use, and mental clarity is among the benefits most commonly claimed for abstaining. All of it is self-report. The only randomised abstinence study to measure anything of the kind - 176 regular users assigned to seven days of abstinence or use as usual - found no difference between the groups on a daily withdrawal composite that included concentration items, and no study has ever measured cognitive performance before and after a period of abstinence. Henry et al.'s 2025 ecological momentary assessment study in Archives of Sexual Behavior - 22 people, four weeks, five prompts a day - did find self-rated difficulty thinking rising after an episode and decaying back to baseline over several hours, but its episodes combined pornography with masturbation and the effect tracked shame, guilt and low mood, so it cannot separate a cognitive effect from an emotional one. The most recent expert review of the field lists post-use concentration difficulty as an open research question rather than a finding, and notes it may be secondary to poor sleep or to low mood rather than a direct effect of the use itself.

• Fernandez, Kuss, Griffiths 2021, Arch Sex Behav 50(2):711-728, doi:10.1007/s10508-020-01858-w, PMID 33403533, PMC7889567
• Ince et al. 2023, Sci Rep 13(1):18193, doi:10.1038/s41598-023-45459-8, PMID 37875697, PMC10598215
• Fernandez et al. 2023, Arch Sex Behav 52(4):1819-1840, doi:10.1007/s10508-022-02519-w, PMID 36652136, PMC9847461
• Henry et al. 2025, Arch Sex Behav 54(9):3313-3334, doi:10.1007/s10508-025-03287-z, PMID 41269492, PMC12675693
• Ince et al. 2026, J Behav Addict 15(1):32-98, doi:10.1556/2006.2025.00337, PMID 41879870, PMC13132360
• Relevant, and cuts the other way — Lewczuk et al. 2022, J Behav Addict 11(4):979-993, doi:10.1556/2006.2022.00076, PMID 36269607, PMC9881655
• Not used as support for recovery of cognition — Negash et al. 2016, J Sex Res 53(6):689-700, doi:10.1080/00224499.2015.1025123, PMID 26305628

Some people's use shifts toward content they would not have chosen at the start. Among people who already describe their use as a problem this is commonly reported, and in a nationally representative Polish sample self-reported tolerance tracked severity (β = 0.38 for compulsive sexual behaviour, β = 0.27 for problematic pornography use). What is measured, almost everywhere in this literature, is a single retrospective question — the Problematic Pornography Consumption Scale's "I gradually watched more 'extreme' pornography, because the porn I watched before was less satisfying" — answered by people who are already unhappy about their use. Escalation has not been shown to be universal or progressive. The one study that followed people forward rather than asking them to look back — 248 male adolescents across five waves over 24 months — found preference for violent and coercive content fell over time, and that its change was unrelated to how much their overall use grew.

• Lewczuk K, Wizła M, Glica A, Potenza MN, Lew-Starowicz M, Kraus SW 2022, J Behav Addict 11(4):979-993, doi:10.1556/2006.2022.00076, PMID 36269607
• Landripet I, Buško V, Štulhofer A 2019, Social Science Research 81:32-41, doi:10.1016/j.ssresearch.2019.03.003, PMID 31130200
• Ince C, Albertella L, Liu C, Tiego J, Fontenelle LF, Chamberlain SR, Yücel M, Rotaru K 2024, Addictive Behaviors 156:108048, doi:10.1016/j.addbeh.2024.108048, PMID 38761685
• Ince C, Fontenelle LF, Carter A, Albertella L, Tiego J, Chamberlain SR, Rotaru K 2023, Scientific Reports 13:18193, doi:10.1038/s41598-023-45459-8, PMID 37875697, PMC10598215
• Not retrieved — Wéry A & Billieux J 2016, Computers in Human Behavior 56:257-266, doi:10.1016/j.chb.2015.11.046

Whether tastes return to where they started after someone stops is unknown. No study has measured what a person is aroused by before, during and after a period of abstinence. What the laboratory shows is narrower and cuts both ways: arousal to one repeated sexual stimulus falls within a session, a novel stimulus restores it, and — the half usually left out of the popular version — re-presenting the original stimulus restores it too. Across sessions the evidence is weaker still. A five-man study found habituation carrying over from week to week; a 24-man study found no habituation across sessions and no change in participants' sexual behaviour outside the laboratory.

• Koukounas E & Over R 1993, Behaviour Research and Therapy 31(6):575-585, doi:10.1016/0005-7967(93)90109-8, PMID 8347116
• Meuwissen I & Over R 1990, Behaviour Research and Therapy 28(3):217-226, doi:10.1016/0005-7967(90)90004-3, PMID 2369404
• Dawson SJ, Suschinsky KD & Lalumière ML 2013, J Sex Med 10(4):990-1000, doi:10.1111/jsm.12032, PMID 23320579
• O'Donohue W & Plaud JJ 1991, J Behav Ther Exp Psychiatry 22(2):87-96, doi:10.1016/0005-7916(91)90003-n, PMID 1757595
• Julien E & Over R 1984, Arch Sex Behav 13(3):211-222, doi:10.1007/BF01541648, PMID 6466085
• For the absence — Fernandez DP, Kuss DJ, Justice LV, Fernandez EF & Griffiths MD 2023, Arch Sex Behav 52(4):1819-1840, doi:10.1007/s10508-022-02519-w, PMID 36652136
• For the absence — Bronner G & Ben-Zion IZ 2014, J Sex Med 11(7):1798-1806, doi:10.1111/jsm.12501, PMID 24674621 (the closest thing to a published reversal report)

No study has found that pornography use permanently changes the brain, and no study has been designed that could. The finding usually cited for permanent damage — less grey matter in the right caudate in men reporting more hours of use — is a single cross-sectional scan of 64 healthy men, whose own authors wrote that it "could be a precondition that makes pornography consumption more rewarding" rather than a consequence of it. It has never been replicated. Five further structural studies of compulsive sexual behaviour have each found their differences somewhere else - left frontal pole, left amygdala, superior temporal gyrus, right posterior cingulate, right cerebellum - two of them increases in grey matter rather than decreases, and none of them found a structural difference in the right caudate. The left frontal pole result is the weakest of those five for this population: it comes from a pooled comparison of compulsive sexual behaviour disorder, gambling disorder and alcohol use disorder against controls in which the compulsive sexual behaviour group showed the least pronounced difference, and that study's own disorder-specific finding is a severity correlation in the right anterior cingulate. Every one is cross-sectional, in 17 to 30 patients, and their authors ask for longitudinal work to separate a pre-existing trait from a developed one. Nobody has scanned the same person twice.

• Kühn S & Gallinat J 2014, JAMA Psychiatry 71(7):827-834, doi:10.1001/jamapsychiatry.2014.93, PMID 24871202
• Draps M, Sescousse G, Potenza MN, et al. 2020, J Sex Med 17(9):1761-1769, doi:10.1016/j.jsxm.2020.05.007, PMID 32690426
• Schmidt C, Morris LS, Kvamme TL, Hall P, Birchard T, Voon V 2017, Hum Brain Mapp 38(3):1182-1190, doi:10.1002/hbm.23447, PMID 27787929, PMC5324617
• Seok JW & Sohn JH 2018, Brain Res 1684:30-39, doi:10.1016/j.brainres.2018.01.035, PMID 29421186
• Görts P, Savard J, Görts-Öberg K, Dhejne C, Arver S, Jokinen J, Ingvar M, Abé C 2023, J Behav Addict 12(1):278-287, doi:10.1556/2006.2023.00008, PMID 36943775, PMC10260207
• Engel J, Gkavanozi A, Veit M, Kneer J, Kruger THC, Sinke C 2023 (Sex@Brain), J Behav Addict 12(4):1032-1045, doi:10.1556/2006.2023.00056, PMID 37874642, PMC10786231
• Ince C, Antons S, Brand M, Gola M, Potenza MN, Kraus SW, Stark R, Grubbs JB, Bőthe B, et al. 2026, J Behav Addict 15(1):32-98, doi:10.1556/2006.2025.00337, PMID 41879870, PMC13132360
• Not a source for this claim, and must not be cited as one — Stavro, Pelletier & Potvin 2013, Addict Biol 18(2):203-213, PMID 22264351 (recovery of cognitive function in abstinent alcohol users)
• Not a source for this claim, and must not be cited as one — Volkow et al. 2001, J Neurosci 21(23):9414-9418, PMID 11717374 (partial recovery of striatal dopamine transporters in five abstinent methamphetamine users)
• Contrary evidence considered — Kampa M, Krikova K, Stark R & Klucken T 2026, J Behav Addict 15(1):445-458, doi:10.1556/2006.2025.00452, PMID 41805604, PMC13132397

Whether sexual difficulties get better after cutting down or stopping has never been tested with a controlled design. The reversal evidence everyone quotes is three clinical reports in a single 2016 paper: of those three men, one could not stop and no improvement was recorded, one improved after cutting down while simultaneously giving up a sex toy his doctor had named as a cause alongside the pornography, and one reported improvement while an inpatient being treated for a suicide attempt, alcohol use and depression. None was assessed with a validated erectile-function measure. Against that, the one longitudinal study that did use a validated measure followed men over a year and found no relationship between any pornography variable and the course of their erectile function.

• Park BY, Wilson G, Berger J, et al. 2016, Behav Sci (Basel) 6(3):17, doi:10.3390/bs6030017, PMID 27527226, PMC5039517 (2018 correction: Behav Sci 8(6):55, doi:10.3390/bs8060055, PMID 29857562)
• Grubbs JB & Gola M 2019, J Sex Med 16(1):111-125, doi:10.1016/j.jsxm.2018.11.004, PMID 30621919
• Fernandez DP, Kuss DJ & Griffiths MD 2021, Arch Sex Behav 50(2):711-728, doi:10.1007/s10508-020-01858-w, PMID 33403533
• Bronner G & Ben-Zion IZ 2014, J Sex Med 11(7):1798-1806, doi:10.1111/jsm.12501, PMID 24674621
• Dwulit AD & Rzymski P 2019, J Clin Med 8(7):914, doi:10.3390/jcm8070914, PMID 31247949
• Also considered — Sniewski L & Farvid P 2019, Sexual Addiction & Compulsivity 26(3-4):191-210, doi:10.1080/10720162.2019.1645058
• Fernandez DP, Kuss DJ, Justice LV, Fernandez EF & Griffiths MD 2023, Arch Sex Behav 52(4):1819-1840, doi:10.1007/s10508-022-02519-w, PMID 36652136

Better sleep is one of the improvements people attribute to stopping pornography use, and no study has measured it. No trial or prospective study of pornography abstinence has taken sleep as an outcome: the one randomised abstinence study adapted a smoking-withdrawal scale and deliberately dropped its sleep subscale, and the 104-journal analysis of a rebooting forum does not list sleep among the benefits members reported — its single mention of sleep is a healthier sleep routine adopted as one of the lifestyle changes made alongside abstinence. What exists is cross-sectional: people who screen positive for problematic use also report more insomnia symptoms, in samples that cannot say which came first. What has been measured around stopping runs the other way — in a nationally representative sample, sleep problems were among the most commonly reported withdrawal-like symptoms when people tried to cut down.

• Fernandez, Kuss & Griffiths 2021, Archives of Sexual Behavior 50(2):711-728, doi:10.1007/s10508-020-01858-w, PMID 33403533, PMC7889567
• Fernandez, Kuss, Justice, Fernandez & Griffiths 2023, Archives of Sexual Behavior 52(4):1819-1840, doi:10.1007/s10508-022-02519-w, PMID 36652136, PMC9847461
• Lewczuk, Wizła, Glica, Potenza, Lew-Starowicz & Kraus 2022, Journal of Behavioral Addictions 11(4):979-993, doi:10.1556/2006.2022.00076, PMID 36269607
• Not used as a source, but relevant and checked — Musetti, Gori, Alessandra, Topino, Terrone, Plazzi, Cacioppo & Franceschini 2022, Nature and Science of Sleep 14:83-92, doi:10.2147/NSS.S348242, PMID 35082545
• Not used as a source, but relevant and checked — Noel, Jacob, Hicks, Gately & Rosenthal 2025, Rhode Island Medical Journal 108(6):16-21, PMID 40435138
• Not used as a source, but relevant and checked — Sassover, Kushnir & Weinstein 2024, Frontiers in Psychiatry 15:1421028, PMID 39465047, PMC11502338
• Cuts the other way — Lastella, Miller, Montero, Sprajcer, Ferguson & Browne 2025, Sleep Health 11(2):198-205, doi:10.1016/j.sleh.2024.11.004, PMID 40016080
• Cuts the other way — Oesterling, Borg, Juhola & Lancel 2023, Journal of Sleep Research 32(4):e13814, doi:10.1111/jsr.13814, PMID 36646500

Screen use in bed is reliably associated with going to sleep later. Its effect on sleep once you are asleep is smaller and less consistent than the popular version of this finding suggests. The strongest design — pooling within-person data, so each person is their own control — finds that on days with more screen use people fall asleep later, and finds nothing for total sleep time, sleep latency, sleep efficiency, wake after sleep onset or subjective sleep quality; the association with perceived quality differed by when the screen was used, being more negative after bedtime than earlier in the day, rather than being significant in its own right. The much larger associations in the cross-sectional literature come from between-person comparisons that cannot separate the screen from the person holding it.

• Bourke, Maddren, Sippel & Thomas 2026, JAMA Pediatrics 180(5):500-509, doi:10.1001/jamapediatrics.2025.6490, PMID 41770550
• Carter, Rees, Hale, Bhattacharjee & Paradkar 2016, JAMA Pediatrics 170(12):1202-1208, doi:10.1001/jamapediatrics.2016.2341, PMID 27802500
• Exelmans & Van den Bulck 2016, Social Science & Medicine 148:93-101, doi:10.1016/j.socscimed.2015.11.037, PMID 26688552
• Martin, Bednarz & Aromataris 2021, Journal of Sleep Research 30(3):e13130, doi:10.1111/jsr.13130, PMID 32567219
• Not used as a source — Chang, Aeschbach, Duffy & Czeisler 2015, PNAS 112(4):1232-1237, doi:10.1073/pnas.1418490112, PMID 25535358
• Not used as a source — He, Tu, Xiao, Su & Tang 2020, PLoS One 15(2):e0228756, doi:10.1371/journal.pone.0228756, PMID 32040492
• Not used as a source — He, Pan, Ma, Li, Kong & Liu 2025, Frontiers in Psychiatry 16:1640263, PMID 41480345

A single bout of aerobic exercise is followed by a drop in self-reported craving, and the drop is short-lived. The direction is consistent across roughly forty trials and four independent meta-analyses; the size is not. Pooled estimates in temporarily abstaining smokers are very large - standardised mean differences of -1.91 and -2.03 in the individual-participant-data meta-analysis, and weighted mean differences of -1.90 and -2.41 in the 2012 review update - while the most recent network meta-analysis puts the acute aerobic effect at -0.23 (95% CI -0.41 to -0.04) in drug treatment and grades the whole body of evidence low certainty. Where duration was measured the effect peaked during or just after the bout and was gone within 30 to 50 minutes. The dose required is small: reductions were found at intensities from 24% of heart-rate reserve for 15 minutes, and from 5 minutes of isometric exercise, up to 80-85% of heart-rate reserve.

• Taylor, Ussher & Faulkner 2007, Addiction 102(4):534-543, doi:10.1111/j.1360-0443.2006.01739.x, PMID 17286639
• Roberts, Maddison, Simpson, Bullen & Prapavessis 2012, Psychopharmacology 222(1):1-15, doi:10.1007/s00213-012-2731-z, PMID 22585034
• Haasova et al. 2013, Addiction 108(1):26-37, doi:10.1111/j.1360-0443.2012.04034.x, PMID 22861822
• Wang C, Yang, Wang K, Sun, Liu & Luo 2025, Addict Sci Clin Pract 21(1):12, doi:10.1186/s13722-025-00639-x, PMID 41413589
• Not a source for this entry — Wang D et al. 2014, PLoS One 9(10):e110728, doi:10.1371/journal.pone.0110728, PMID 25330437

Nobody has tested whether exercise reduces the urge to use pornography. The porn-specific evidence is three papers, none of which measures an urge: a four-study paper whose exercise programme did not significantly reduce problematic use - it only stopped it rising, which it did in the untreated control group - and two cross-sectional surveys of one sample of 600 Chinese adults in which regular exercisers scored lower on problematic use. One of those two found exercise cut both ways, weakening the path from unmet psychological needs to coping motives but strengthening the path from coping motives to problematic use. Everything else on this page is transfer from smoking and drug treatment, and that transfer has not been demonstrated.

• Lin, Wu & Peng 2026, Applied Psychology: Health and Well-Being 18(1):e70119, doi:10.1111/aphw.70119, PMID 41575062
• Zhang Y, Jiang, Jin, Bőthe, Huang & Chen 2025, J Sex Marital Ther 51(6):665-677, doi:10.1080/0092623X.2025.2536094, PMID 40755429
• Zhang Y, Chen, Jiang & Bőthe 2022, Int J Environ Res Public Health 19(22):15221, doi:10.3390/ijerph192215221, PMID 36429937
• Independent corroboration that the intervention literature is empty — Balhara et al. 2026, JMIR Mental Health 13:e89280, doi:10.2196/89280, PMID 42119142

Acute alcohol impairs the ability to withhold a response that is already prepared, and causally raises stated intentions toward sexual risk-taking. A meta-analysis of human laboratory studies puts the inhibition effect at g = 0.41 (95% CI 0.35-0.47), larger at higher breath alcohol concentrations and larger when the task has first established a prepotent response. Across 30 experimental studies, drinking increased intentions to have unprotected sex (d = 0.24 to 0.35), and the effect was larger when sexual arousal was already high. The usual explanation is alcohol myopia - that intoxication narrows attention onto whatever cue is most immediate, so the near cue wins against the distant consequence. That is the leading explanation, not a separate finding, and alcohol expectancy remains a live rival account.

• McPhee & Hendershot 2023, Neuroscience & Biobehavioral Reviews 152:105274, doi:10.1016/j.neubiorev.2023.105274, PMID 37277010
• Scott-Sheldon et al. 2016, AIDS and Behavior 20(Suppl 1):S19-39, doi:10.1007/s10461-015-1108-9, PMID 26080689, PMC4683116
• Rehm, Shield, Joharchi & Shuper 2012, Addiction 107(1):51-59, doi:10.1111/j.1360-0443.2011.03621.x, PMID 22151318
• Steele & Josephs 1990, American Psychologist 45(8):921-933, doi:10.1037/0003-066X.45.8.921, PMID 2221564
• George 2019, Journal of Sex Research 56(4-5):409-424, doi:10.1080/00224499.2019.1588213, PMID 30958036
• The direct tests of attentional narrowing are more mixed than the inhibition meta-analysis — Riedel et al. 2021, PMID 33660080
• The direct tests of attentional narrowing are more mixed than the inhibition meta-analysis — Bayless & Harvey 2017, PMID 27697911

Whether drinking makes a pornography urge more likely has never been tested. There is no alcohol-administration experiment, and no event-level or daily study, with pornography use as the outcome. The whole literature connecting the two is eight cross-sectional surveys, in which alcohol is the most-studied substance and is positively but weakly associated with problematic use - an association that did not survive adjustment for age and sex in the study that tried it, and that did not predict anything in the one daily-diary study. Alcohol does not appear at all in the only systematic catalogue of self-reported triggers in this population. Someone who says drinking sets them off is reporting their own experience, which may well be accurate for them; they are not reporting a finding.

• Dubois, Danielson, Schwirtlich, Beestrum & Eurich 2025, PLOS Global Public Health 5(11):e0004946, doi:10.1371/journal.pgph.0004946, PMID 41223162 (protocol registered on OSF, doi:10.17605/OSF.IO/86X34)
• Borgogna et al. 2025, Journal of Behavioral Addictions 14(1):155-165, doi:10.1556/2006.2025.00008, PMID 39964457
• Stasica & Binkowska 2026, Frontiers in Psychiatry 17:1863547, doi:10.3389/fpsyt.2026.1863547, PMID 42389398
• Fernandez, Kuss & Griffiths 2021, Archives of Sexual Behavior 50(2):711-728, doi:10.1007/s10508-020-01858-w, PMID 33403533, PMC7889567
• Uses pornography as the stimulus rather than the outcome, so not a source here — Norris & Kerr 1993, PMID 8410953
• Uses pornography as the stimulus rather than the outcome, so not a source here — Davis et al. 2006, PMID 16893966

A nocturnal emission — ejaculating in your sleep — is an involuntary physiological event and an ordinary part of male development, not a behaviour. A 2026 systematic scoping review of 157 sources puts prevalence at 70-90%, higher among adolescents and lower in some Asian cohorts, and first occurrence between 12.6 and 15.6 years, most often at 13-14. Kinsey's accumulative incidence for US men was 83%, and a 2014 US probability sample found 66.3% of men and 41.8% of women reporting orgasm during sleep at least once. Emissions happen with and without erotic dreams, and can happen with no supraspinal control involved at all, which is why they are also recorded after spinal cord injury and in psychogenic anejaculation. Nothing in the retrieved literature connects them to pornography use, and no study has examined them in relation to relapse or to the course of quitting. The older idea that they are a compensatory release that increases when other sexual outlet is withheld is not supported: the review found no evidence for it, the one direct test found emission frequency unrelated to time since last masturbation, and Kinsey found incidence and frequency almost identical among religiously active and inactive men. Frequency data are thin enough that the review calls them "scarce and inconsistent", so this is stated as unsupported rather than refuted. Whether a nocturnal emission breaks a streak is therefore not a physiological question at all — it is a question about the rule the reader has set, and the app does not answer it for them.

• Kinsey AC, Pomeroy WB, Martin CE, Sexual Behavior in the Human Male, Philadelphia: Saunders 1948, pp. 519-521 and Table 133
• Maiolino G, Fernández-Pascual E, Lledó-García E, Martínez-Salamanca JI 2026, Sex Med Rev 14(1):qeag003, doi:10.1093/sxmrev/qeag003, PMID 41665964
• Herbenick D, Fu TC, Patterson C, Fortenberry JD 2021, Arch Sex Behav 50(6):2631-2640, doi:10.1007/s10508-021-01996-9, PMID 34427847
• Gul A, Yuruk E, Serefoglu EC 2020, Rev Int Androl 18(1):21-26, doi:10.1016/j.androl.2018.08.002, PMID 30606622
• The only retrieved mention inside the porn-quitting literature is one participant in Hanseder & Dantas 2023, IJERPH 20(2):1497, doi:10.3390/ijerph20021497, PMID 36674250

AI-generated pornography is already a mass consumer product and almost nothing is known about what it does to the people who use it. In a national online sample of 2,658 German adults, 31.6% reported at least one AI-supported sexual activity in the previous 12 months, and consuming AI-generated pornography was among the three most common; men, younger adults and non-heterosexual participants reported more of it. A content analysis of 36 generation sites found 80.6% offering image generation, 41.7% video, 44.4% interaction with an artificial agent, and customisation by prompting (72.2%) or feature selection (97.2%) across body features, clothing, sociodemographic characteristics and setting. What does not exist is a comparison. No study has compared AI-generated with conventional pornography on any use, arousal-over-time, wellbeing or clinical outcome. The single head-to-head comparison in the literature is a survey of subjective ratings of still images, in which 649 gynephilic adults rated AI-generated nudes as more aesthetically appealing, sexually attractive and pleasant than real photographs - a rating of pictures, not a finding about how anyone uses them or what follows.

• Döring N, Mikhailova V, Mohseni MR 2026, Archives of Sexual Behavior, doi:10.1007/s10508-025-03382-1, PMID 42265505 (correction, 5 August 2026: doi:10.1007/s10508-026-03612-0)
• Lapointe VA, Dubé S, Rukhlyadyev S, Kessai T, Lafortune D 2025, Archives of Sexual Behavior, doi:10.1007/s10508-025-03099-1, PMID 40032709
• Zakreski E, Marečková A, Vaníček O, Hůla M, Klapilová K, Lindová J, Pfaus JG 2026, Archives of Sexual Behavior 55(1):329-343, doi:10.1007/s10508-025-03357-2, PMID 41652242
• Döring N, Le TD, Miller DJ 2025, Archives of Sexual Behavior, doi:10.1007/s10508-025-03227-x, PMID 40968214 (correction: doi:10.1007/s10508-025-03385-y, PMID 41369810)
• Negative evidence, recorded deliberately — Ince et al. 2026, J Behav Addict 15(1):32-98, doi:10.1556/2006.2025.00337, PMID 41879870, PMC13132360

Sexual arousal habituates to a repeated erotic stimulus and recovers when a novel one is introduced. This has been shown in the laboratory across three decades, on genital response and on self-reported arousal, in men and in women, with the recovery appearing on attentional and affective measures at the same time. It is the mechanism that the endless-novelty argument about pornography rests on, and it is the reason a product that can generate the next thing on demand is acting on anticipation rather than on satisfaction - see C47, where dopamine tracks wanting rather than liking. What the mechanism does not establish is any effect specific to AI-generated content: no study has measured habituation, novelty recovery or craving for AI-generated pornography, and the one direct experimental test of the popular endless-novelty claim about internet pornography found only partial support and called for far greater nuance.

• Koukounas E, Over R 1993, Behaviour Research and Therapy 31(6):575-585, doi:10.1016/0005-7967(93)90109-8, PMID 8347116
• Koukounas E, Over R 1999, Archives of Sexual Behavior 28(6):539-552, doi:10.1023/a:1018769200845, PMID 10650440
• Koukounas E, Over R 2000, Behaviour Research and Therapy 38(6):573-584, doi:10.1016/s0005-7967(99)00075-3, PMID 10846806
• Both S, Laan E, Everaerd W 2011, Journal of Sexual Medicine 8(1):167-179, doi:10.1111/j.1743-6109.2010.02051.x, PMID 20946171
• The sceptical counterweight, cited deliberately — Sculley J, Watkins CD 2022, Archives of Sexual Behavior 51(6):3071-3082, doi:10.1007/s10508-022-02317-4, PMID 35790609

A concurrent visuospatial task reduces the strength and vividness of a craving while it is being performed. The direction replicates across cigarettes, chocolate, food and alcohol, in the laboratory and in daily life, and the size is modest and short-lived: in the Tetris ecological-momentary study, three minutes of Tetris cut craving strength by a mean of 13.9 percentage points (effect size f2 = 0.11) among 31 undergraduates reporting cravings seven times a day for a week. Three trials have now run outside the laboratory - that one, a four-week diary study in which 48 undergraduate women watched hand-held dynamic visual noise whenever a food craving arrived, and a 2026 pilot that delivered four minutes of Tetris by ecological momentary intervention to 40 women reporting alcohol misuse. The 2026 pilot is the one that did not simply replicate: it predicted decreases in momentary craving only among the women who already recognised possible harms from their drinking and were ready to change, and it moved neither average daily craving nor drinking. Which channel is loaded appears to matter - a mental visual imagery task reduced cigarette craving where an equivalent auditory one did not, and adding a verbal working-memory load on top of a visuomotor task did not reduce craving any further. The samples are small and mostly undergraduate, every primary outcome is a self-reported craving rating collected immediately after a task the participant knows they received, and nothing in this literature has a sexual or pornographic target (see C69).

• May J, Andrade J, Panabokke N, Kavanagh D 2010, Behaviour Research and Therapy 48(6):476-485, doi:10.1016/j.brat.2010.02.001, PMID 20189549
• Skorka-Brown J, Andrade J, May J 2014, Appetite 76:161-165, doi:10.1016/j.appet.2014.01.073, PMID 24508486
• Skorka-Brown J, Andrade J, Whalley B, May J 2015, Addictive Behaviors 51:165-170, doi:10.1016/j.addbeh.2015.07.020, PMID 26275843
• Andrade J, Pears S, May J, Kavanagh DJ 2012, Appetite 58(3):955-963, doi:10.1016/j.appet.2012.02.044, PMID 22369958
• Kemps E, Tiggemann M 2013, Appetite 68:152-157, doi:10.1016/j.appet.2013.05.001, PMID 23685086
• Park MY, Kim I, Kim M, Lee GE, Lee JH 2026, Frontiers in Psychology 17:1923789, doi:10.3389/fpsyg.2026.1923789, PMID 42756082
• Hahn CK, Brockdorf AN, Pavlacic JM, Metts CL, Brady KT, Hoffman M, Guille C, Saladin ME, Back SE 2026, Drug and Alcohol Dependence 281:113052, doi:10.1016/j.drugalcdep.2026.113052, PMID 41691823
• Supporting, not a separate replication — McClelland A, Kemps E, Tiggemann M 2006, Journal of Clinical Psychology 62(3):355-365, doi:10.1002/jclp.20216, PMID 16299713

No study has tested whether a visuospatial task reduces the urge to use pornography. The whole Tetris-and-craving line was run on food, alcohol, nicotine, caffeine and methamphetamine; what the puzzles in this app rest on is transfer from those targets, and that transfer has not been demonstrated. The closest thing in the literature is one week-long diary study of 31 undergraduates in which 'activities (sex, exercise, gaming)' was one craving category among several - sex, in a general sample, not reported separately, and never pornography. What is porn-specific runs the other way: sexual images degrade working-memory performance while they are in front of you (C53), which is evidence that the two compete for the same resource, not evidence that a puzzle shortens an urge.

• The closest study in the literature, named so it cannot be quoted as more — Skorka-Brown J, Andrade J, Whalley B, May J 2015, Addictive Behaviors 51:165-170, doi:10.1016/j.addbeh.2015.07.020, PMID 26275843
• Searched and found empty, 21 September 2026 — six Europe PMC and PubMed queries pairing pornography, sexual craving and CSBD terms with tetris, visuospatial, dynamic visual noise, Corsi, working-memory load and cognitive load; zero relevant records, and zero PubMed records at all for the sexual-arousal crossing
• Running the other way, and named for that reason — Sinke C et al. 2020, NeuroImage: Clinical 27:102308, doi:10.1016/j.nicl.2020.102308, PMID 32599553; Imhoff R, Barker P, Schmidt AF 2020, Archives of Sexual Behavior 49(2):531-550, doi:10.1007/s10508-019-01512-0, PMID 31696350
• Elaborated Intrusion theory has reached pornography craving as measurement only — Ben Brahim F et al. 2024, Addictive Behaviors 148:107858, doi:10.1016/j.addbeh.2023.107858, PMID 37774528, the Strength of Pornography Craving Experience scale