SOMMAIRE :
- Excessive smartphone use and addiction: When harms start outweighing benefits [Editorial]. Larsen H., Wiers R.W., Su S., Cousijn J., p. 586-588.
- Highly processed foods can be considered addictive substances based on established scientific criteria [Addiction opinion and debate]. Gearhardt A.N., DiFeliceantonio A.G., p. 589-598.
- Compulsion to consume highly processed foods: addiction or 'para-addiction'. West R., p. 599-600.
- Determinants of food reward and some parallels with vehicles for self-administration of nicotine, caffeine and alcohol. Rogers P.J., p. 601-602.
- The foods that are addictive. Monteiro C.A., Cannon G., p. 603-604.
- The risks of misclassifying addictive food substances as non-addictive. Gearhardt A.N., DiFeliceantonio A.G., p. 605-606.
- The effect of prenatal cannabis exposure on offspring preterm birth: a cumulative meta-analysis. Duko B., Dachew B.A., Pereira G., Alati R., p. 607-619.
- Concurrent validity of the Marijuana Purchase Task: A meta-analysis of trait-level cannabis demand and cannabis involvement. Gonzalez-Roz A., Martinez-Loredo V., Aston E.R., Metrik J., Murphy J., Balodis I., et al., p. 620-633.
- An exploration of flavours in studies of e-cigarettes for smoking cessation: secondary analyses of a systematic review with meta-analyses. Lindson N., Butler A.R., Liber A., Levy D.T., Barnett P., Theodoulou A., et al., p. 634-645.
- Alcohol-specific inhibition training in patients with alcohol use disorder: a multi-centre, double-blind randomized clinical trial examining drinking outcome and working mechanisms. Stein M., Soravia L.M., Tschuemperlin R.M., Batschelet H.M., Jaeger J., Roesner S., et al., p. 646-657.
- Effectiveness of a French mass-media campaign in raising knowledge of both long-term alcohol-related harms and low-risk drinking guidelines, and in lowering alcohol consumption. Quatremère G., Guignard R., Cogordan C., Andler R., Gallopel-Morvan K., Nguyen Thanh V., p. 658-668.
- Estimating child maltreatment cases that could be alcohol-attributable in New Zealand. Huckle T., Romeo J.S., p. 669-677.
- Association between genetic risk of alcohol consumption and alcohol-related morbidity and mortality under different alcohol policy conditions: Evidence from the Finnish alcohol price reduction of 2004. Lahtinen H., Moustgaard H., Ripatti S., Martikainen P., p. 678-685.
- Evaluation of the gap in delivery of opioid agonist therapy among individuals with opioid-related health problems: a population-based retrospective cohort study. Paul L.A., Bayoumi A.M., Chen C., Kocovska E., Smith B.T., Raboud J.M., et al., p. 686-697.
- Genetic support of a causal relationship between cannabis use and educational attainment: a two-sample Mendelian randomization study of European ancestry. Chen D., Wang X., Huang T., Jia J., p. 698-710.
- Impacts of the New York State COVID-19 disaster emergency orders on prescription dispensing for opioids and medication for opioid use disorder. Suri A., Feaster D.J., Balise R.R., Quinn J., Nunes E.V., Gilbert L., et al., p. 711-718.
- Fentanyl withdrawal: Understanding symptom severity and exploring the role of body mass index on withdrawal symptoms and clearance. Luba R., Jones J., Choi C.J., Comer S., p. 719-726.
- Longitudinal transitions in adolescent polytobacco use across waves 1-4 of the Population Assessment of Tobacco and Health study. Blank M.D., Romm K.F., Childers M.G., Douglas A.E., Dino G., Bray B.C., p. 727-738.
- Evaluating the causal effect of tobacco smoking on white matter brain aging: A two-sample Mendelian randomization analysis in UK Biobank. Mo C., Wang J., Ye Z., Ke H., Liu S., Hatch K., et al., p. 739-749.
- Clinical management of psychostimulant withdrawal: review of the evidence. Li M.J., Shoptaw S.J., p. 750-762.
- Behavioral excess and disruptive conduct: A historical and taxonomic approach to the origin of the 'impulse control disorders' diagnostic construct. Fusaroli M., Pellegrini L., Fusaroli R., Raschi E., Menchetti M., Poluzzi E., p. 763-770.
- The opioid epidemic: A worldwide exploratory study using the WHO pharmacovigilance database. Robert M., Jouanjus E., Khouri C., Fouilhé Sam-Laï N., Revol B., p. 771-775.