Alan J Budney

Mr. Alan J Budney


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 August 2015 in Addiction
Verified
Journal Article
Closed access
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ABAlan J Budney
Alan J Budney
JSJames D. Sargent
James D. Sargent
DLDustin C. Lee
Dustin C. Lee

1 April 2019 in Journal of Adolescent Health
Verified
Journal Article
Closed access
AKAshley A. Knapp
Ashley A. Knapp
DLDustin C. Lee
Dustin C. Lee
JBJacob T. Borodovsky
Jacob T. Borodovsky
SASamantha G. Auty
Samantha G. Auty
JGJoy Gabrielli
Joy Gabrielli
ABAlan J Budney
Alan J Budney

17 November 2021 in Addiction
Verified
Journal Article
Open access
PDF file
JCJason P. Connor
Jason P. Connor
DSDaniel Stjepanovic
Daniel Stjepanovic
ABAlan J Budney
Alan J Budney
Bernard Le FollBernard Le Foll
Bernard Le Foll
WHWayne D. Hall
Wayne D. Hall
Background and Aims: Cannabis withdrawal is a well‐characterized phenomenon that occurs in approximately half of regular and dependent cannabis users after abrupt cessation or significant reductions in cannabis products that contain Δ9‐tetrahydrocannabinol (THC). This review describes the diagnosis, prevalence, course and management of cannabis withdrawal and highlights opportunities for future clinical research.Methods: Narrative review of literature.Results: Symptom onset typically occurs 24–48 hours after cessation and most symptoms generally peak at days 2–6, with some symptoms lasting up to 3 weeks or more in heavy cannabis users. The most common features of cannabis withdrawal are anxiety, irritability, anger or aggression, disturbed sleep/dreaming, depressed mood and loss of appetite. Less common physical symptoms include chills, headaches, physical tension, sweating and stomach pain. Despite limited empirical evidence, supportive counselling and psychoeducation are the first‐line approaches in the management of cannabis withdrawal. There are no medications currently approved specifically for medically assisted withdrawal (MAW). Medications have been used to manage short‐term symptoms (e.g. anxiety, sleep, nausea). A number of promising pharmacological agents have been examined in controlled trials, but these have been underpowered and positive findings not reliably replicated. Some (e.g. cannabis agonists) are used ‘off‐label’ in clinical practice. Inpatient admission for MAW may be clinically indicated for patients who have significant comorbid mental health disorders and polysubstance use to avoid severe complications.Conclusions: The clinical significance of cannabis withdrawal is that its symptoms may precipitate relapse to cannabis use. Complicated withdrawal may occur in people with concurrent mental health and polysubstance use.

2 January 2019 in European Archives of Psychiatry and Clinical Neuroscience
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Journal Article
Closed access
PDF file
ABAlan J Budney
Alan J Budney
MSMichael J. Sofis
Michael J. Sofis
JBJacob T. Borodovsky
Jacob T. Borodovsky

1 September 2015 in Psychology of Addictive Behaviors
Verified
Journal Article
Open access
ABAlan J Budney
Alan J Budney
CSCatherine Stanger
Catherine Stanger
JTJ. Mick Tilford
J. Mick Tilford
ESEmily B. Scherer
Emily B. Scherer
PBPamela C. Brown
Pamela C. Brown
DWDenise D. Walker
Denise D. Walker
Computer-assisted behavioral treatments hold promise for enhancing access to and reducing costs of treatments for substance use disorders. This study assessed the efficacy of a computer-assisted version of an efficacious, multicomponent treatment for cannabis use disorders (CUD), that is, motivational enhancement therapy, cognitive-behavioral therapy, and abstinence-based contingency-management (MET/CBT/CM). An initial cost comparison was also performed. Seventy-five adult participants, 59% Black, seeking treatment for CUD received either, MET only (BRIEF), therapist-delivered MET/CBT/CM (THERAPIST), or computer-delivered MET/CBT/CM (COMPUTER). During treatment, the THERAPIST and COMPUTER conditions engendered longer durations of continuous cannabis abstinence than BRIEF (p < .05), but did not differ from each other. Abstinence rates and reduction in days of use over time were maintained in COMPUTER at least as well as in THERAPIST. COMPUTER averaged approximately $130 (p < .05) less per case than THERAPIST in therapist costs, which offset most of the costs of CM. Results add to promising findings that illustrate potential for computer-assisted delivery methods to enhance access to evidence-based care, reduce costs, and possibly improve outcomes. The observed maintenance effects and the cost findings require replication in larger clinical trials.

1 November 2017 in Preventive Medicine
Verified
Journal Article
Closed access
ABAlan J Budney
Alan J Budney
JBJacob T. Borodovsky
Jacob T. Borodovsky