Motion Sickness Relief Tablet, Chewable
Product Images NDC 69842-395

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Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Motion Sickness Relief (NDC 69842-395). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Cvs Pharmacy, Inc., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Cvsb36-00 (Cvsb36 00)

Cvsb36-00 (Cvsb36 00)
This is a medication that may cause drowsiness, caution should be taken while operating machinery or driving motor vehicles. Consult with a doctor or pharmacist before taking if taking sedatives or tranquilizers. Alcohol, sedatives, and tranquilizers can increase drowsiness. Pregnant or breastfeeding women should consult with a doctor before use. Keep out of reach of children and seek medical help if an overdose occurs. The medication can be taken as 1-2 tablets daily or as directed by a doctor. The medication contains phenylalanine and should be stored at room temperature. For any questions or comments, call 1-855-215-8180.*
FDA Label Image

Cvsf36-00 (Cvsf36 00)

Cvsf36-00 (Cvsf36 00)
This is a drug information section about Meclizine Hydrochloride tablets which are used for the prevention and treatment of symptoms associated with motion sickness, such as nausea, vomiting, and dizziness. The box contains 2 tablets of 25 mg each, and it is advised not to use them if the packet is torn or damaged. There are also warnings that children under 12 years old should not use these tablets unless directed by a doctor. Individuals with specific medical conditions like breathing problems, glaucoma, and difficulty urinating should consult with their doctor before use. CVS F36-00 is also labeled on the box.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.