Results 281 to 290 of about 187,006 (336)

Commentary on Borodovsky et al.: Enhancing research on THC quantification—Consumer awareness through accurate labelling

Addiction, Volume 120, Issue 4, Page 686-687, April 2025.
Rachel Lees Thorne, Tom P. Freeman
wiley   +1 more source

Development and evaluation of a machine learning model to predict acute care for opioid use disorder among Medicaid enrollees engaged in a community‐based treatment program

Addiction, EarlyView.
Abstract Aims To develop machine‐learning algorithms for predicting the risk of a hospitalization or emergency department (ED) visit for opioid use disorder (OUD) (i.e. OUD acute events) in Pennsylvania Medicaid enrollees in the Opioid Use Disorder Centers of Excellence (COE) program and to evaluate the fairness of model performance across racial ...
Lingshu Xue, Ruofei Yin, Evan S. Cole, Wei‐Hsuan Lo‐Ciganic, Walid F. Gellad, Julie Donohue, Lu Tang   +6 more
wiley   +1 more source

Discrepancies between Perception and Reality of Tobacco Use in Bangladesh: Psychological Disorders, Mental Illness, and Suicidal Risks

openalex   +1 more source

Effects of legal access versus illegal market cannabis on use and mental health: A randomized controlled trial

Addiction, EarlyView.
Abstract Aims We measured the effects of public health‐oriented cannabis access compared with the illegal market on cannabis use and related mental health outcomes in adult cannabis users. Design This was a two‐arm, parallel group, open‐label, randomized controlled trial. Follow‐up outcome measurement took place after 6 months.
Lavinia Baltes‐Flueckiger, Regine Steinauer, Maximilian Meyer, Adrian Guessoum, Oliver Herrmann, Christoph Felix Mosandl, Jens Kronschnabel, Eva‐Maria Pichler, Marc Vogel, Marc Walter   +9 more
wiley   +1 more source

Effectiveness and safety of psychosocial interventions for the treatment of cannabis use disorder: A systematic review and meta‐analysis

Addiction, EarlyView.
Abstract Aim To evaluate the effectiveness, safety and cost‐effectiveness of psychosocial interventions for cannabis use disorder (CUD). Methods A systematic review of randomized controlled trials (RCTs; PROSPERO protocol CRD42024553382) of psychosocial interventions for CUD lasting >4 sessions, delivered synchronously, to individuals with CUD aged ≥16
Monika Halicka, Thomas L. Parkhouse, Katie Webster, Francesca Spiga, Lindsey A. Hines, Tom P. Freeman, Sabina Sanghera, Sarah Dawson, Craig Paterson, Jelena Savović, Julian P. T. Higgins, Deborah M. Caldwell   +11 more
wiley   +1 more source

Age–period–cohort analysis of past 12‐month cannabis use in Germany (1995–2021)

Addiction, EarlyView.
Abstract Background and Aims In 2024, cannabis was partially legalized for recreational purposes in Germany. With a growing prevalence of persons who used cannabis in the past 12 months, and the health risks associated with cannabis use, it is imperative to examine usage behavior patterns in greater detail.
Natalie S. Schöllner, Adrian Glos, Justin Möckl, Eva‐Maria Krowartz, Eva Hoch, Sally Olderbak   +5 more
wiley   +1 more source

Associations of emotional experience with gaming duration and risk of gaming disorder among adolescent gamers: An ecological momentary assessment study

Addiction, EarlyView.
Abstract Background and aims Affect has been shown to be associated with gaming disorder (GD), but little is known about how its temporal tendency may predict excessive gaming. We aimed to evaluate how affect intensity and fluctuations may predict gaming duration and risk of GD among adolescent gamers.
Camilla K. M. Lo, Edward W. W. Chan, Frederick K. Ho, Lu Yu, William W. H. Chui, Ko Ling Chan   +5 more
wiley   +1 more source

Male Subfertility among Patients with Alcohol and Tobacco Use Disorders versus Nonsubstance Users

Supriya Suthar, Ashish Aggarwal, Savita Chahal, Arun Pandey, Hemlata T Kamra   +4 more
openalex   +1 more source

Identifying key risk factors for intentional self‐harm, including suicide, among a cohort of people prescribed opioid agonist treatment: A predictive modelling study

Addiction, EarlyView.
Abstract Background and aims People with opioid use disorder are at increased risk of intentional self‐harm and suicide. Although risk factors are well known, most tools for identifying individuals at highest risk of these behaviours have limited clinical value.
Nicola R. Jones, Matthew Hickman, Chrianna Bharat, Suzanne Nielsen, Sarah Larney, Nimnaz Fathima Ghouse, Julia Lappin, Louisa Degenhardt   +7 more
wiley   +1 more source

Isaac Campos. Home grown: Marijuana and the origins of Mexico's war on drugs

Addiction, EarlyView.
Wayne Hall, Sarah Yeates
wiley   +1 more source