Product Images Acyclovir
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 8 images provide visual information about the product associated with Acyclovir NDC 67296-1458 by Redpharm Drug, Inc., 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.
200mg-100s - 200mg 100s
This is a medication called Acyclovir, USP 200mg, in capsule form. It is stored between 20-26°C (68-77°F) and should be protected from light and moisture in a tight container. The manufacturer is Yiling Pharmaceutical Ltd and the distributor is Yiling Pharmaceutical, Inc. The prescription information contains the dosage information. The rest of the text is not relevant.*
200mg-500s - 200mg 500s
400mg-100s - 400mg 100s
400mg-500s - 400mg 500s
Each tablet contains 400mg of Acyclovir, USP. The manufacturer is Yiling Pharmaceutical Ltd located in China, and the distributor is Yiling Pharmaceutical, Inc located in Las Vegas, USA. The tablets should be stored at a temperature between 20° to 25C (68° to 77° F), in a container that is protected from light and moisture. The safety seal must not be broken or missing, and it should be dispensed in a tight container according to the USP standards. The text "140mm" and "50mm" are not relevant to this description.*
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800mg-100s - 800mg 100s
800mg-500s - 800mg 500s
Each tablet contains 800 mg of Acyclovir, USP. The manufacturer is NDG and the distributor is Yiling Pharmaceutical. The tablets are to be stored at a temperature between 20° to 25°C (68° to 77°F) in a container that is protected from light and moisture. It is important not to use the tablets if the printed safety seal under the cap is broken or missing. The tablets should be dispensed in a tight container as defined by the USP. Prescription information for dosage is available.*
Structural formula - Structural formula
* 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.