Substance use patterns among individuals with problematic pornography use: A scoping review
Bibliographic record
Abstract
Pornography consumption is a highly prevalent behavior in developed countries, with studies indicating that up to 70% of men and 40% of women have viewed pornography within the past year. Substance use in individuals with problematic pornography use (PPU) is an area that warrants further investigation due to the potential for its compounded negative effects including risk for addiction and potential negative effects on mental and emotional health. This scoping review examines substance use patterns and associations among individuals with PPU; and to summarize the different operationalizations of PPU. This is one of the first reviews to evaluate the empirical research on this relationship. Four primary databases were used to conduct the search: MEDLINE (PubMed), Embase, CINAHL, and PsycINFO, up to December 4, 2024. Included studies investigated the association between substance use and PPU or chronic pornography use. After deduplication, 949 references were retrieved, however, only 8 cross-sectional studies were eligible for this review. Substance use classification varied across studies and included: alcohol, smoking, cocaine, substance use disorder, cannabis use disorder, and general drug use. Alcohol was the most frequently studied substance. Although alcohol, cocaine use, and smoking were positively correlated with PPU, the findings were not significant for other substances or substance use disorders. Studies used a variety of PPU definitions. The Problematic Pornography Use Scale was the most frequently used measure to capture PPU. This review suggests there is a large knowledge gap in understanding the intersection between PPU and substance use in both the volume of literature available and a lack of standardization of measuring PPU. Indeed, PPU is currently not officially recognized as a stand-alone disorder in the DSM-5. Longitudinal studies utilizing a consistent definition and measure for PPU are warranted to fully understand its association with each substance use type. Open Science Framework Registration: https://doi.org/10.17605/OSF.IO/86X34.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".