Product Images Vilazodone Hydrochloride
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Product Label Images
The following 7 images provide visual information about the product associated with Vilazodone Hydrochloride NDC 16729-354 by Accord Healthcare 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.
This is a medication description for Vilazodone Hydrochloride tablets, containing 10mg of the drug. The usual dosage is unknown and should be referred to the package insert. The medication should be stored in a tightly closed container and kept out of children's reach at room temperature. It indicates that it is manufactured by Intas Pharmaceuticals Limited, INDIA, and is licensed for sale in the US by Accord Healthcare, Inc., Durham. A medication guide is enclosed and should be given to each patient.*
Each tablet is film-coated and contains 20 mg of Vilazodone Hydrochloride under NDG 16729-393-10. The typical dosage must be reviewed in the package information. Keep the medication away from children in a tightly closed container, and store it below 30°C (86°F). Accord Healthcare manufactured it and was produced by Intas Pharmaceuticals in India. It must be dispensed for medical prescription with the Medication Guide designed for each patient.*
This appears to be a partial output from a study on the effects of ethanol and various inhibitors/inducers on CYP3A4 enzyme and proton pump inhibitors. It includes information on fold change and confidence interval. However, without additional context or data, it is difficult to provide a more specific description.*
This appears to be a list of various substrates and enzymes that affect drug metabolism. It also includes pharmacokinetic measurements such as AUC, CRmp, URmp, CLm, Um, Cmax, and fold change with 90% confidence intervals. The numbers may relate to changes relative to a reference substrate or drug.*
* 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.