diff --git a/.Rbuildignore b/.Rbuildignore
index a1d5fe5..b9c98a3 100644
--- a/.Rbuildignore
+++ b/.Rbuildignore
@@ -9,3 +9,5 @@
 ^codecov\.yml$
 ^README\.Rmd$
 ^data-raw$
+^doc$
+^Meta$
diff --git a/.gitignore b/.gitignore
index 16add95..a3c506a 100644
--- a/.gitignore
+++ b/.gitignore
@@ -5,3 +5,5 @@
 .DS_Store
 docs
 inst/doc
+/doc/
+/Meta/
diff --git a/R/get_clean_sql.R b/R/get_clean_sql.R
index 6ea4027..42ab87c 100644
--- a/R/get_clean_sql.R
+++ b/R/get_clean_sql.R
@@ -44,6 +44,11 @@ get_clean_sql <- function(filepath, additional_settings = FALSE) {
     line <- gsub("\\t", " ", line)
     line <- gsub("\\n", " ", line)
 
+    # Skip over any lines that start with 'Use'
+    if (grepl("^Use", line, ignore.case = TRUE)) {
+      next
+    }
+
     if (grepl("--", line) == TRUE) {
       line <- paste(sub("--", "/*", line), "*/")
     }
diff --git a/man/create_time_series_lookup.Rd b/man/create_time_series_lookup.Rd
index e37c776..9547671 100644
--- a/man/create_time_series_lookup.Rd
+++ b/man/create_time_series_lookup.Rd
@@ -14,7 +14,7 @@ usually the output of tidy_raw_lookup}
 single data.frame of all lookup files combined
 }
 \description{
-Take a list of tidied files, likely produced by the tidy_downloaded_lookup
+Take a list of tidied files, likely produced by the tidy_raw_lookup
 function append together
 }
 \details{
diff --git a/tests/sql_scripts/use_example.sql b/tests/sql_scripts/use_example.sql
new file mode 100644
index 0000000..fde7816
--- /dev/null
+++ b/tests/sql_scripts/use_example.sql
@@ -0,0 +1,5 @@
+-- Example SQL script use a Use call
+
+USE my_super_cool_database;
+
+SELECT * FROM [my_database_table];
diff --git a/tests/testthat/test-get_clean_sql.R b/tests/testthat/test-get_clean_sql.R
index 9a83c05..21a7b8c 100644
--- a/tests/testthat/test-get_clean_sql.R
+++ b/tests/testthat/test-get_clean_sql.R
@@ -8,6 +8,16 @@ test_that("Can retrieve basic script", {
   )
 })
 
+test_that("Ignores USE lines", {
+  expect_equal(
+    get_clean_sql("../sql_scripts/use_example.sql"),
+    paste0(
+      " /* Example SQL script use a Use call",
+      " */   SELECT * FROM [my_database_table];"
+    )
+  )
+})
+
 test_that("Adds additional settings", {
   # Check that the output starts with the desired lines
   expect_true(
diff --git a/vignettes/connecting_to_sql.Rmd b/vignettes/connecting_to_sql.Rmd
index 855f5d6..581c8b0 100644
--- a/vignettes/connecting_to_sql.Rmd
+++ b/vignettes/connecting_to_sql.Rmd
@@ -62,6 +62,8 @@ For example, in SQL Server Management Studio (SSMS) or Azure Data Studio you mig
 
 There are a number of standard characters found in SQL scripts that can cause issues when reading in a SQL script within R and we have created the `get_clean_sql()` function to assist with this. Assume you have connected to the database and assigned that connection to a `con` variable, you would then use the following line to read a cleaned version of your SQL script into R.
 
+`get_clean_sql()` will ignore any lines of code that start with `USE` to specify a database, as your database should already be specified in your connection setup.
+
 ```{r reading clean sql, eval=FALSE}
 sql_query <- dfeR::get_clean_sql("path_to_sql_file.sql")
 ```
@@ -72,6 +74,8 @@ Now that the SQL query is saved as a variable in the R environment you can pass
 
 It's important to note that `dbGetQuery()` is intended to work with 'SELECT' style queries only. If you're doing something that isn't a 'SELECT' query, such as writing back into SQL, consider using the `dbExecute()` or `dbSendQuery()` functions from the [DBI package](https://dbi.r-dbi.org/) instead.
 
+
+
 ```{r executing sql query, eval=FALSE}
 sql_query_result <- DBI::dbGetQuery(con, statement = sql_query)
 ```