Nodoz Alertness Aid Tablet, Film Coated
Product Images NDC 66715-9899

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Nodoz Alertness Aid (NDC 66715-9899). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Lil' Drug Store Products, 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

Pdp/package 6ct (97993c Paint)

Pdp/package 6ct (97993c Paint)
This is a drug facts label for "Plyy ssaupia|y Alertness Aid" containing 200mg caffeine per caplet, intended for adults and children 12 years of age and over to restore mental alertness, but not to be used for children under 12 years old, or as substitute for sleep. This product comes in a package with 6 caplets or 3 pouches, each containing 2 caplets. The recommended dose is 1/2 to 1 caplet not more often than every 3 to 4 hours. There are warnings about caffeine intake and its related side effects, such as nervousness, irritability, sleeplessness, rapid heartbeat, etc. The product must be kept out of reach of children and overdosing requires immediate medical attention. The label also provides information about inactive ingredients, storage, expiration date and lot number, and a toll-free number for questions or comments.*
FDA Label Image

Carton (97996c Nodoz 60ct Paint)

Carton (97996c Nodoz 60ct Paint)
This text is not clear and seems to be incomplete or corrupted. The information available is not enough to generate a useful description.*
FDA Label Image

Label (97996l Nodoz 60ct Paint)

Label (97996l Nodoz 60ct Paint)
Each caplet contains 200mg of caffeine, and the bottle contains 60 caplets.*

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