Mucinex Childrens Solution
Product Images NDC 72854-070

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Mucinex Childrens (NDC 72854-070). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

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

Product Images & Figures Index

FDA Label Image

Back Label (72854 070 Back Label)

Back Label (72854 070 Back Label)
This text contains information about a medication that includes active ingredients, purposes, uses, warnings, directions, dosage, and other relevant details. The medication is a children's cough and cold remedy that includes ingredients such as acetaminophen and dextromethorphan HBr. It provides guidance on how to use the medication correctly, potential side effects, and details on overdose warnings. The text also mentions the inclusion of a dosing cup and inactive ingredients. Additionally, it advises on when to consult a doctor and emphasizes the importance of keeping the medication out of reach of children. The product is distributed by RB Health in the United States and manufactured in Mexico. More information can be found on the website www.mucinex.com.*
FDA Label Image

Full Carton Label (72854 070 Front Label)

Full Carton Label (72854 070 Front Label)
This text excerpt provides information about Mucinex for children, recommended by pediatricians since 2010. It mentions that it is carefully dosed for children's needs, available in different flavors, and formats. It is a multi-symptom cold and flu relief product containing ingredients recognized as effective, including an expectorant.*

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