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A multi-site proof-of-concept investigation of computerized approach-avoidance training in adolescent cannabis users.
Drug Alcohol Depend. 2018 Jun 1;187:195-204. doi: 10.1016/j.drugalcdep.2018.03.007. Epub 2018 Apr 11.
3
Reaching out towards cannabis: approach-bias in heavy cannabis users predicts changes in cannabis use.
Addiction. 2011 Sep;106(9):1667-74. doi: 10.1111/j.1360-0443.2011.03475.x.
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Approach bias modification for cannabis use disorder: A proof-of-principle study.
J Subst Abuse Treat. 2018 Apr;87:16-22. doi: 10.1016/j.jsat.2018.01.012. Epub 2018 Jan 16.
8
Computer and therapist based brief interventions among cannabis-using adolescents presenting to primary care: one year outcomes.
Drug Alcohol Depend. 2013 Oct 1;132(3):646-53. doi: 10.1016/j.drugalcdep.2013.04.020. Epub 2013 May 25.
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Cannabis intoxication inhibits avoidance action tendencies: a field study in the Amsterdam coffee shops.
Psychopharmacology (Berl). 2013 Sep;229(1):167-76. doi: 10.1007/s00213-013-3097-6. Epub 2013 Apr 18.

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2
Approach Bias Modification for reducing Co-Occurring Alcohol and cannabis use among treatment-seeking Adolescents: Protocol of a randomized controlled trial.
Contemp Clin Trials Commun. 2025 Jan 25;44:101435. doi: 10.1016/j.conctc.2025.101435. eCollection 2025 Apr.
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Nicotine use during late adolescence and young adulthood is associated with changes in hippocampal volume and memory performance.
Front Neurosci. 2024 Aug 16;18:1436951. doi: 10.3389/fnins.2024.1436951. eCollection 2024.
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First Used Nicotine/Cannabis Product and Associated Outcomes in Late Adolescents.
Subst Use Misuse. 2024;59(5):699-706. doi: 10.1080/10826084.2023.2294975. Epub 2024 Jan 3.
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The effects of nicotine use during adolescence and young adulthood on gray matter cerebral blood flow estimates.
Brain Imaging Behav. 2024 Feb;18(1):34-43. doi: 10.1007/s11682-023-00810-5. Epub 2023 Oct 18.
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A cross-cultural fMRI investigation of cannabis approach bias in individuals with cannabis use disorder.
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本文引用的文献

1
Approach bias modification for cannabis use disorder: A proof-of-principle study.
J Subst Abuse Treat. 2018 Apr;87:16-22. doi: 10.1016/j.jsat.2018.01.012. Epub 2018 Jan 16.
2
The efficacy of computerized interventions to reduce cannabis use: A systematic review and meta-analysis.
Addict Behav. 2018 Apr;79:52-60. doi: 10.1016/j.addbeh.2017.11.045. Epub 2017 Dec 7.
3
Automatic avoidance tendencies for alcohol cues predict drinking after detoxification treatment in alcohol dependence.
Psychol Addict Behav. 2017 Mar;31(2):171-179. doi: 10.1037/adb0000232. Epub 2016 Dec 1.
4
Attentional Bias Modification With Serious Game Elements: Evaluating the Shots Game.
JMIR Serious Games. 2016 Dec 6;4(2):e20. doi: 10.2196/games.6464.
5
Adolescent cortical thickness pre- and post marijuana and alcohol initiation.
Neurotoxicol Teratol. 2016 Sep-Oct;57:20-29. doi: 10.1016/j.ntt.2016.09.005. Epub 2016 Sep 26.
6
The Effectiveness of Cognitive Bias Modification Interventions for Substance Addictions: A Meta-Analysis.
PLoS One. 2016 Sep 9;11(9):e0162226. doi: 10.1371/journal.pone.0162226. eCollection 2016.
8
CBM research needs more power: Commentary on the special issue on cognitive bias modification.
J Behav Ther Exp Psychiatry. 2017 Dec;57:215. doi: 10.1016/j.jbtep.2016.03.001. Epub 2016 Mar 3.
9
Cognitive neuroscience of cognitive retraining for addiction medicine: From mediating mechanisms to questions of efficacy.
Prog Brain Res. 2016;224:323-44. doi: 10.1016/bs.pbr.2015.07.021. Epub 2015 Nov 4.
10
Preliminary findings demonstrating latent effects of early adolescent marijuana use onset on cortical architecture.
Dev Cogn Neurosci. 2015 Dec;16:16-22. doi: 10.1016/j.dcn.2015.10.001. Epub 2015 Oct 9.

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