Product Images Nifedipine
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 5 images provide visual information about the product associated with Nifedipine NDC 51655-593 by Northwind Pharmaceuticals, Llc, 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.
This is a description of prescription medication in the form of extended-release tablets. The NDC code for the medication is 51655-593-26, and it comes in a container with 90 tablets. The recommended dosage is included in the package insert, and the medication should be stored at room temperature. The tablets should be swallowed whole, without biting or dividing them. This medication is repackaged by Northwind Pharmaceuticals, and each tablet contains 30mg of a substance manufactured by Ingenus Pharmaceuticals. There is an expiration date and lot number included, and the medication should be kept out of reach of children and protected from light and moisture.*
This is a table showing the percentage of patients who reported certain side effects while taking nifedipine extended-release tablets compared to those taking a placebo. Common side effects reported include headache, fatigue, dizziness, constipation, and nausea. The percentages vary for each side effect and between the nifedipine and placebo groups.*
This is a table comparing the incidence of various adverse effects between nifedipine capsules and placebo based on a study with 226 and 235 participants, respectively. The adverse effects listed include dizziness, lightheadedness, giddiness, flushing, heat sensation, headache, weakness, nausea, heartburn, muscle cramps, tremor, peripheral edema, nervousness, mood changes, palpitations, dyspnea, cough, wheezing, nasal congestion, and sore throat. The percentages indicate the frequency of each adverse effect.*
* 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.