Product Images Nitrostat

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Nitrostat NDC 0404-9800 by Henry Schein, 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.

Formula1.jpg - Formula1

Formula1.jpg - Formula1

The text provides information about a chemical compound with a molecular weight of 227.09 g/mol. The compound is not clearly identifiable due to the incomplete and fragmented nature of the text.*

Image1.jpg - Image1

Image1.jpg - Image1

The text appears to be a data table that includes information about the mean values of Nitroglycerin parameters for two different dosage regimens of NITROSTAT tablets. It provides details such as the Mean Nitroglycerin values with their respective Standard Deviations (SD), dosage regimens (2x0.3mg and 1x0.6mg), and parameters including Crnaxs NG/ML, Trnax Min, AUC(0-c9) min, and 15 min. The specific numerical values and units for each parameter are also included in the table.*

Label1.jpg - Label1

Label1.jpg - Label1

This is information about Nitrostat (Nitroglycerin) tablets in 0.4 mg. It comes in a bottle with 25 sublingual tablets. Instructions include feeling a "burning or tingling" sensation at the tablet placement site, not indicating failure of release if no tingling is felt in the mouth, and seeking medical attention if pain persists after taking three tablets in a 16-minute period. It warns against crushing, chewing, or swallowing the tablets, and advises keeping the tablets in the original container and storing them at a controlled room temperature. The text includes a warning to keep the tablets out of children's reach, close the bottle tightly after each use to prevent loss of potency, and provides the contact information for the manufacturer.*

* 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.