Product Images Levetiracetam
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Product Label Images
The following 9 images provide visual information about the product associated with Levetiracetam NDC 64725-1130 by Tya Pharmaceuticals, 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 prescription drug called Leveteriacetam which comes in the form of tablets. The package contains 30 tablets, and the dosage information is specified in the package insert. The tablet is manufactured by Lupin Unlimited, and repackaged by T. Ya Pharmaceuticals in Tallahassee, FL. The lot number is %00 with an expiration date of XX-XX-XX.*
This text provides a simple formula to calculate the total daily dose of medication based on the patient's weight and the recommended daily dose in milligrams per kilogram. The medication being used has a concentration of 100 milligrams per milliliter.*
This text describes a formula for calculating renal clearance (CLer), which is used to determine how well the kidneys are functioning. The formula takes into account the patient's age, weight, and serum creatinine levels. For female patients, the formula is slightly different than for males. The text also mentions that the CLer can be adjusted for body surface area (BSA).*
This appears to be a chart or table showing the percentage of patients in a study who received either a placebo or varying doses of the medication levetiracetam. The percentages may correspond to the number of patients who experienced certain effects or outcomes. However, without further context, it is difficult to determine the exact meaning of these percentages.*
This is a table showing the percentage of patients in a study who experienced certain effects with either a placebo or Levetiracetam medication. The effects are not specified and the last three columns are blank.*
* 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.