Cataplexy and Limb discomfort

Summary:

Limb discomfort is found among people with Cataplexy, especially for people who are female, 30-39 old.

The study analyzes which people have Limb discomfort with Cataplexy. It is created by eHealthMe based on reports of 153 people who have Cataplexy from the Food and Drug Administration (FDA), and is updated regularly. You can use the study as a second opinion to make health care decisions.

What is Cataplexy?

Cataplexy (loss of muscle tone accompanied by full conscious awareness) is found to be associated with 294 drugs and 255 conditions by eHealthMe. Check the latest studies of Cataplexy.

What is Limb discomfort?

Limb discomfort (discomfort in leg) is found to be associated with 1,297 drugs and 1,075 conditions by eHealthMe. Check the latest studies of Limb discomfort.

On Jul, 13, 2026

153 people who have Cataplexy and Limb Discomfort are studied.

Would you have Limb discomfort when you have Cataplexy?

* Approximation only. Some reports may have incomplete information.

Do you take medications and have Limb discomfort?

- Check whether Limb discomfort is associated with a drug or a condition

Related publications that referenced our studies

Alonso-Navarro H, Montes JM, Plaza-Nieto JF, Jiménez-Jiménez FJ, "Cataplexy Possibly Associated With Lamotrigine", Journal of clinical psychopharmacology, 2016 Aug .
Lopes E, Pereira D, da Silva Behrens NS, de Almeida Fonseca H, Calvancanti PO, de Araújo Lima TF, Pradella-Hallinan M, Castro J, Tufik S, Coelho FM, "Cataplexy as a side effect of modafinil in a patient without narcolepsy", Sleep Science, 2014 Mar .
Alonso-Navarro H, Montes JM, Plaza-Nieto JF, Jiménez-Jiménez FJ, "Cataplexy Possibly Associated With Lamotrigine", Journal of clinical psychopharmacology, 2016 Aug .
Lopes E, Pereira D, da Silva Behrens NS, de Almeida Fonseca H, Calvancanti PO, de Araújo Lima TF, Pradella-Hallinan M, Castro J, Tufik S, Coelho FM, "Cataplexy as a side effect of modafinil in a patient without narcolepsy", Sleep Science, 2014 Mar .

Related studies:

Treatments, associated drugs and conditions:

Cataplexy (41,577 reports)
Limb discomfort (37,896 reports)

All the drugs that are associated with Limb discomfort:

Limb discomfort (1,297 drugs)

All the conditions that are associated with Limb discomfort:

Limb discomfort (1,075 conditions)

How the study uses the data?

How to use the study?

DO NOT STOP MEDICATIONS without first consulting your doctor. If there are any serious or long term adverse effects discovered in the study, discuss the study with your doctor to ensure that proper medication management will be in place if applicable.

The study is based on Limb discomfort and Cataplexy, and their synonyms.

Who is eHealthMe?

With medical big data and proven AI/ML algorithms, eHealthMe provides a platform for everyone to run phase IV clinical trials. We study millions of patients and 5,000 more each day. Results of our real-world drug study have been referenced on 800+ peer-reviewed medical publications, including The Lancet, Mayo Clinic Proceedings, and Nature. Our analysis results are available to researchers, health care professionals, patients (testimonials), and software developers (open API).

WARNING, DISCLAIMER, USE FOR PUBLICATION

WARNING: Please DO NOT STOP MEDICATIONS without first consulting a physician since doing so could be hazardous to your health.

DISCLAIMER: All material available on eHealthMe.com is for informational purposes only, and is not a substitute for medical advice, diagnosis, or treatment provided by a qualified healthcare provider. All information is observation-only. Our phase IV clinical studies alone cannot establish cause-effect relationship. Different individuals may respond to medication in different ways. Every effort has been made to ensure that all information is accurate, up-to-date, and complete, but no guarantee is made to that effect. The use of the eHealthMe site and its content is at your own risk.

If you use this eHealthMe study on publication, please acknowledge it with a citation: study title, URL, accessed date.