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Record W1974173439 · doi:10.1176/pn.39.24.00390028

Researchers Seeking Better Social Phobia Treatment

2004· article· en· W1974173439 on OpenAlexaboutno aff
Joan Arehart-Treichel

Bibliographic record

VenuePsychiatric News · 2004
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsnot available
Fundersnot available
KeywordsAnxietyPsychologySocial anxietyPsychiatryAvoidant personality disorderPsychotherapistShynessPsychoanalysisPersonality disordersPersonality

Abstract

fetched live from OpenAlex

Back to table of contents Previous article Next article Clinical & Research NewsFull AccessResearchers Seeking Better Social Phobia TreatmentJoan Arehart-TreichelJoan Arehart-TreichelPublished Online:17 Dec 2004https://doi.org/10.1176/pn.39.24.00390028Not long ago, a young woman, "Susan," took skydiving lessons. She and her fellow students boarded a plane to practice. When it came time to bail out of the plane, Susan volunteered to be the first to jump. The reason wasn't because she was courageous, but because she dreaded having to talk with other people on the plane.Susan, in short, suffered from social anxiety (social phobia) disorder, a condition that can be profoundly distressing and disabling, triggering blushing, sweating, stuttering, shaking, and nausea."Social anxiety really strikes at the heart of what it is to be human—to interact with other people," Mark Pollack, M.D., an associate professor of psychiatry at Harvard University and director of the Massachusetts General Hospital anxiety treatment program, told Psychiatric News.Fortunately, Susan is being treated for her disorder. "More and more Americans are seeking help for social anxiety, thanks to awareness campaigns and media coverage of the past decade or so," Pollack said.The scientific evidence of the effectiveness of a growing number of treatments is robust. Notably, there are the SSRIs, SNRIs, monoamine oxidase inhibitors, benzodiazepines, and cognitive-behavioral therapy, which in turn includes cognitive restructuring and exposure therapy. Moreover, the SSRIs and cognitive-behavioral therapy appear to be equally effective at combating social anxiety, a recent study suggests (Psychiatric News, November 5).Nonetheless, the treatments do have some downsides. For instance, the benzodiazepines can lead to abuse and do not relieve any depression that may exist along with social anxiety, Pratap Chokka, M.D., an associate clinical professor of psychiatry at the University of Alberta, reported at the annual meeting of the Canadian Psychiatric Association in October.From left: Pratap Chokka, M.D., Kevin Kjernisted, M.D., and Pierre Bleau, M.D., discuss social anxiety and other anxiety disorders at the annual meeting of the Canadian Psychiatric Association in October.Further, some questions about the deployment of these treatments for social anxiety disorder beg for answers. For example, should clinicians combine treatments or not? What is the optimal time for treatment? Can early intervention change the course of the disorder? Unfortunately, the scientific evidence needed to answer these questions is not yet available, John Walker, Ph.D., a professor of clinical health psychology at the University of Manitoba, pointed out at the meeting."If you rate available treatments on a 10-point scale, I would give them about a 6," Jonathan Davidson, M.D., a professor of psychiatry at Duke University and director of the anxiety treatment program there, said in an interview. "That is to say, they can make a difference, but they leave people with a huge amount of continuing morbidity. If you treat somebody for three to six months, they have still relatively significant scores on anxiety measures. So there is need for improvement."A cure for the disorder does not appear to be imminent. Nonetheless, some new treatments being explored for social anxiety may expand the treatment repertoire.For example, Davidson and colleagues recently completed a small, placebo-controlled study to determine whether the anticonvulsant levetiractam (Keppra) might counter social anxiety disorder. The results, which have been submitted for publication to a scientific journal, look promising. Davidson and coworkers have found that when the botulism toxin (Botox) is given with an SSRI, it can help with the sweating associated with social anxiety disorder, as well as with the social anxiety itself. They were scheduled to present the results of this double-blind trial at a meeting of the American College of Neuropsychopharmaoclogy in San Juan at press time.Davidson and his group are now conducting a double-blind, placebo-controlled study to determine whether St. John's wort can ease social anxiety disorder. There is also a possibility that chromium, which affects the neurotransmitter serotonin, might help counter the condition. Chromium appears to mitigate atypical depression, Davidson and his team have found.Drugs that thwart the actions of corticotropin-releasing factor or substance P may also turn out to dampen social anxiety disorder, Pollack said. Corticotropin-releasing factor is produced by the hypothalamus in response to stress and deployed by the amygdala to communicate with other structures in the brain. Substance P is a neuromodulator that may play an important role in the regulation of emotions."Though cognitive-behavioral therapy is clearly effective for the treatment of social phobia and other anxiety disorders, it has not been widely disseminated and is often available only at specialized treatment centers to help affected individuals," Pollack added. "Efforts are starting here and elsewhere to develop a more easily administered and time-efficient form of CBT in order to make this treatment modality more widely available." ▪ ISSUES NewArchived

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)0.007
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.346
Threshold uncertainty score0.933

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0030.001
Scholarly communication0.0070.007
Open science0.0020.004
Research integrity0.0130.007
Insufficient payload (model declined to judge)0.3460.228

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 head0.084
GPT teacher head0.388
Teacher spread0.305 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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".

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Citations0
Published2004
Admission routes1
Has abstractyes

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