Childrens Acetaminophen Suspension
Product Images NDC 71335-2722

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 Childrens Acetaminophen (NDC 71335-2722). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Bryant Ranch Prepack, 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

Extended Label (713352722 E Label)

Extended Label (713352722 E Label)
This text provides a clear and concise guide on the appropriate dosage of a medication based on weight (in pounds) and age (in years). The table lists the weight categories and their corresponding age ranges along with the recommended dosage in milliliters (mL) for each. It also includes a note to consult a doctor for dosages for children under 2 years old. This information can be useful for caregivers and medical professionals when determining the correct amount of medication to administer to children.*
FDA Label Image

Label (Lbl713352722)

Label (Lbl713352722)
This text provides important information about a package insert for children's acetaminophen oral suspension, including details about the active ingredient, purpose, uses, warnings, directions, and other relevant information such as inactive ingredients and dosage instructions. The product is a pain reliever and fever reducer containing 160 mg per 5 mL. It warns about potential liver damage, allergic reactions, and overdose risks, emphasizing the importance of seeking medical help if necessary. Additionally, it states that the product is grape-flavored, alcohol-free, ibuprofen-free, and aspirin-free. It also includes the manufacturer's information and NDC code for identification.*

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