diff --git a/Project.toml b/Project.toml
index 5ba1aad..9726e9d 100644
--- a/Project.toml
+++ b/Project.toml
@@ -1,6 +1,6 @@
 name = "SliceSampling"
 uuid = "43f4d3e8-9711-4a8c-bd1b-03ac73a255cf"
-version = "0.6.1"
+version = "0.6.2"
 
 [deps]
 AbstractMCMC = "80f14c24-f653-4e6a-9b94-39d6b0f70001"
@@ -12,7 +12,6 @@ LogDensityProblems = "6fdf6af0-433a-55f7-b3ed-c6c6e0b8df7c"
 LogDensityProblemsAD = "996a588d-648d-4e1f-a8f0-a84b347e47b1"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 Requires = "ae029012-a4dd-5104-9daa-d747884805df"
-SimpleUnPack = "ce78b400-467f-4804-87d8-8f486da07d0a"
 
 [weakdeps]
 Turing = "fce5fe82-541a-59a6-adf8-730c64b5f9a0"
@@ -30,9 +29,8 @@ LogDensityProblems = "2"
 LogDensityProblemsAD = "1"
 Random = "1"
 Requires = "1"
-SimpleUnPack = "1"
-Turing = "0.33, 0.34"
-julia = "1.7"
+Turing = "0.33, 0.34, 0.35"
+julia = "1.10"
 
 [extras]
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
diff --git a/docs/Project.toml b/docs/Project.toml
index 72017c7..390904b 100644
--- a/docs/Project.toml
+++ b/docs/Project.toml
@@ -28,5 +28,5 @@ Random = "1"
 SliceSampling = "0.6"
 StableRNGs = "1"
 Statistics = "1"
-Turing = "0.34"
+Turing = "0.34, 0.35"
 julia = "1.10"
diff --git a/src/SliceSampling.jl b/src/SliceSampling.jl
index 560f027..ad9f768 100644
--- a/src/SliceSampling.jl
+++ b/src/SliceSampling.jl
@@ -7,7 +7,6 @@ using Distributions
 using FillArrays
 using LinearAlgebra
 using LogDensityProblems
-using SimpleUnPack
 using Random
 
 # The following is necessary because Turing wraps all models with
diff --git a/src/multivariate/hitandrun.jl b/src/multivariate/hitandrun.jl
index 999963b..4fa4b7d 100644
--- a/src/multivariate/hitandrun.jl
+++ b/src/multivariate/hitandrun.jl
@@ -26,7 +26,7 @@ struct HitAndRunTarget{Model, Vec <: AbstractVector}
 end
 
 function LogDensityProblems.logdensity(target::HitAndRunTarget, λ)
-    @unpack model, reference, direction = target
+    (; model, reference, direction) = target
     LogDensityProblems.logdensity(model, reference + λ*direction)
 end
 
diff --git a/src/multivariate/randpermgibbs.jl b/src/multivariate/randpermgibbs.jl
index 6fc7d9a..c5b6372 100644
--- a/src/multivariate/randpermgibbs.jl
+++ b/src/multivariate/randpermgibbs.jl
@@ -32,7 +32,7 @@ struct GibbsTarget{Model, Idx <: Integer, Vec <: AbstractVector}
 end
 
 function LogDensityProblems.logdensity(gibbs::GibbsTarget, θi)
-    @unpack model, idx, θ = gibbs
+    (; model, idx, θ) = gibbs
     LogDensityProblems.logdensity(model, (@set θ[idx] = θi))
 end
 
diff --git a/test/Project.toml b/test/Project.toml
index 78d6edb..cb3d933 100644
--- a/test/Project.toml
+++ b/test/Project.toml
@@ -18,5 +18,5 @@ MCMCTesting = "0.3"
 Random = "1"
 StableRNGs = "1"
 Test = "1"
-Turing = "0.33, 0.34"
-julia = "1.6"
+Turing = "0.33, 0.34, 0.35"
+julia = "1.10"