Product Images Daytime Cold And Flu

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with Daytime Cold And Flu NDC 53345-004 by Humanwell Puracap Pharmaceutical (wuhan), Ltd., such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

DayTime Cold and Flu Bulk Label Wuhan

DayTime Cold and Flu Bulk Label   Wuhan

This text describes a product from a company called Humanwell PuraCap Pharmaceutical, located in Wuhan, China. The product is called DayTime Cold and Flu Capsules, and each soft gel capsule contains Acefaminophen (325mg), Dextromethorphan HBr (10mg), and Phenylephrine HC (15mg). The product is available in a quantity of 4000 capsules, with a manufacturing date of 01/12/2013 and a lot number of 0000000. The text also provides some important information, including that the product should be inspected immediately upon receipt, that it is for further processing or repackaging only, and should be protected from heat, humidity, and light, but does not require refrigeration.*

PLD Label

PLD Label

This is a product description for DAYTIME PE SOFTGEL PUR BULK manufactured by Humanwell PuraCap Pharmaceuticals (Wuhan) Co.,Ltd. The product has an NDC number of 53345-004-01 and PLD item BK000515. The lot number for this product is XOOOKXX. The product is a case of 4,000 capsules and must be protected from heat, humidity, and light. It should be stored at 15-30 degrees Celsius (59-85 degrees Fahrenheit) and should not be exposed to excessive heat. The product was made in China and the manufacturing date is not available. The caution requires the product to be protected for future manufacturing, processing or repackaging. The information provided does not contain any information about the purpose, usage, or ingredients used in manufacturing.*

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.