MétaCan
Menu
Back to cohort
Record W1770840219 · doi:10.1139/jpn.0933

Treatment of comorbid tobacco use in people with serious mental illness

2009· article· en· W1770840219 on OpenAlexaffvenue
Katrina Lising-Enriquez, Tony P. George

Bibliographic record

VenueJournal of Psychiatry and Neuroscience · 2009
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsCentre for Addiction and Mental Health
Fundersnot available
KeywordsPsychiatryMedicineAnxietyPopulationSmoking cessationMental illnessBipolar disorderPsychosocialMoodMental health

Abstract

fetched live from OpenAlex

Rates of cigarette smoking among people with psychiatric disorders (e.g., schizophrenia, mood and anxiety disorders) are 2- to 4-fold higher than in the general population. Social, environmental, psychological and neurobiological factors may account for this high rate of comorbid smoking. Psychosocial factors, especially stress and availability, may increase susceptibility to smoking behaviour in those with and without psychiatric illness. Cigarette smoking may be used to remedy clinical symptoms (e.g., depression, dysphoria), medication-induced side effects and cognitive deficits accompanying psychiatric illness. Ms. S., a 38-year-old outpatient at a tertiary care mental health facility with a history of paranoid schizophrenia, was prescribed 200 mg of quetiapine twice daily for her psychosis, and an albuterol inhaler and 10 mg/d of prednisone for her chronic obstructive pulmonary disease. She had a 23-year smoking history (1 pack/d) with at least 10 previous quit attempts. She had used nicotine replacement products (i.e., transdermal nicotine patch, gum, lozenges) but she had never been able to quit for more than a few days. She said she liked the taste of cigarettes and that they “help pass the time” and allowed her to socialize with others at her group home. Moreover, she said smoking alleviated some side effects of her antipsychotic medication, which made her feel “restless” and “dull.” Two months later, Ms. S. presented to staff at the clinic upset after hearing that her “favorite uncle” had lung cancer. She reported a family history of smoking and lung cancer. She feared that she might get lung cancer too and wanted to quit, but was uncertain that quitting would make a difference for her health. Ms. S. was in the “contemplation” stage of the Stages of Change model, and her case worker started motivational interviewing to resolve her ambivalence about quitting. Using non-pharmacologic interventions such as cognitive–behavioural therapy helped her identify triggers and target mal-adaptive coping mechanisms. She was advised to increase her physical activity to limit cessation-related weight gain. Ms. S. was started on 150 mg/d of sustained-release bupropion (Zyban) for 3 days; the dose was then increased to 150 mg twice daily.1 On the 8th day, she set her target quit date and began using a transdermal nicotine patch (21 mg/d) to further reduce tobacco withdrawal and cravings. Although she admitted to occasional urges to smoke, she reported a decrease in cravings and quit smoking 2 weeks after the target quit date. Treatment was maintained for 12 weeks2,3 and, upon completion of the trial, she elected to continue counselling to prevent tobacco relapse. At 1-year follow-up, she had occasional urges to smoke but remained tobacco-free. Given the heterogeneity of psychiatric diagnoses comorbid with tobacco dependence, smoking cessation treatments should ideally be tailored to the individual diagnosis and historical treatment response. Schizophrenia has one of the highest rates of smoking (58%–88%),4 and the most studied treatment is sustained-release bupropion. An intervention consisting of weekly cognitive–behavioural psychotherapy sessions, transdermal nicotine patch and bupropion showed substantial abstinence rates among smokers with schizophrenia (~35%), with long-term (6 mo) quit rates approaching 14%,3 which is similar to that in non-comorbid smokers.4 Similarly, studies with bupropion (300 mg/d) have yielded promising results for smokers with comorbid unipolar and bipolar disorder and posttraumatic stress disorder. Since bupropion is metabolized by CYP 2D6,5 special precaution should be considered when coadministering bupropion with CYP 2D6 inhibitors such as risperidone and first-generation antipsychotics (e.g., haloperidol, chlorpromazine). Interestingly, second-generation antipsychotics may facilitate smoking reduction and cessation when combined with standard tobacco treatments.6 The most recent treatment option is varenicline (Champix), a nicotinic receptor partial agonist that diminishes the reinforcing effects of nicotine and alleviates withdrawal and craving symptoms. There have been reports that varenicline may increase the risk of impulsivity, aggression and suicidal ideation, particularly in smokers with a history of psychiatric disorders, therefore, careful monitoring is strongly suggested.7 It is imperative that mental health clinicians learn to address tobacco issues more aggressively, given the health risks of tobacco to our patients.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.022
GPT teacher head0.296
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations20
Published2009
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Psychiatry and NeuroscienceSame topicSmoking Behavior and CessationFrench-language works237,207